PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?author ?authorLabel ?birthPlace ?birthPlaceLabel ?dateOfBirth WHERE {
  ?author wdt:P31 wd:Q5 ; wdt:P106 wd:Q482980 ; wdt:P27 wd:Q30 ; wdt:P19 ?birthPlace ; wdt:P569 ?dateOfBirth .
  FILTER NOT EXISTS {
    ?author wdt:P570 ?dateOfDeath
  }
  ?birthPlace wdt:P131 * wd:Q771 .
  FILTER ( YEAR( ?dateOfBirth ) > 1919 ) OPTIONAL {
    ?author rdfs:label ?authorLabel FILTER ( LANG( ?authorLabel ) = "en" )
  }
  OPTIONAL {
    ?birthPlace rdfs:label ?birthPlaceLabel FILTER ( LANG( ?birthPlaceLabel ) = "en" )
  }
}
ORDER BY ?dateOfBirth
LIMIT 100

Got 26 rows and 5 columns, showing the first 5 and last 5 rows below:
| author                          | authorLabel             | birthPlace             | birthPlaceLabel | dateOfBirth                         |
| ------------------------------- | ----------------------- | ---------------------- | --------------- | ----------------------------------- |
| Bambi Jones (wd:Q4853375)       | Bambi Jones (en)        | Holyoke (wd:Q1637790)  | Holyoke (en)    | 1931-01-01T00:00:00Z (xsd:dateTime) |
| Burton Malkiel (wd:Q1072872)    | Burton Malkiel (en)     | Boston (wd:Q100)       | Boston (en)     | 1932-08-28T00:00:00Z (xsd:dateTime) |
| Raymond E. Fowler (wd:Q7298740) | Raymond E. Fowler (en)  | Salem (wd:Q54140)      | Salem (en)      | 1933-11-11T00:00:00Z (xsd:dateTime) |
| Lawrence Bossidy (wd:Q6503868)  | Lawrence Bossidy (en)   | Pittsfield (wd:Q49184) | Pittsfield (en) | 1935-03-05T00:00:00Z (xsd:dateTime) |
| Buffy Sainte-Marie (wd:Q467027) | Buffy Sainte-Marie (en) | Stoneham (wd:Q2901023) | Stoneham (en)   | 1941-02-20T00:00:00Z (xsd:dateTime) |
| ...                             | ...                     | ...                    | ...             | ...                                 |
| Steve Kornacki (wd:Q7613068)    | Steve Kornacki (en)     | Groton (wd:Q3776991)   | Groton (en)     | 1979-08-01T00:00:00Z (xsd:dateTime) |
| Farnoosh Torabi (wd:Q5436041)   | Farnoosh Torabi (en)    | Worcester (wd:Q49179)  | Worcester (en)  | 1980-02-15T00:00:00Z (xsd:dateTime) |
| Freida McFadden (wd:Q121304449) | Freida McFadden (en)    | Boston (wd:Q100)       | Boston (en)     | 1980-05-01T00:00:00Z (xsd:dateTime) |
| Hilaria Baldwin (wd:Q24702913)  | Hilaria Baldwin (en)    | Boston (wd:Q100)       | Boston (en)     | 1984-01-06T00:00:00Z (xsd:dateTime) |
| David Roth (wd:Q62413627)       | David Roth (en)         | Boston (wd:Q100)       | Boston (en)     | 1989-04-12T00:00:00Z (xsd:dateTime) |

The query returns living authors who are citizens of the United States, born in Massachusetts after 1919, including their birthplace and date of birth, ordered by their date of birth. Some examples include Bambi Jones born in Holyoke in 1931, Burton Malkiel born in Boston in 1932, and Raymond E. Fowler born in Salem in 1933.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the details of living authors who are citizens of the United States, were born in Massachusetts after 1919, including their birthplace and date of birth, ordered by their date of birth?

[Assistant]
To answer this question, I need to identify entities that are authors, are living, have citizenship of the United States, were born in Massachusetts after 1919, and retrieve their birthplace and date of birth. Then I will order the results by date of birth.

Step 1: Identify the entity for "author."
Step 2: Identify the property for "citizenship."
Step 3: Identify the entity for "United States."
Step 4: Identify the property for "date of birth."
Step 5: Identify the property for "place of birth."
Step 6: Identify the entity for "Massachusetts."
Step 7: Identify the property for "living people" or a way to filter living people (usually absence of date of death).
Step 8: Construct the SPARQL query with these constraints and order by date of birth.

I will start by searching for the entity "author."

[Tool]
Top 10 entity alternatives:
1. writer, also known as penwoman, writers, penwomen, penmen, penman (wd:Q36180): person who uses written words to communicate ideas and to produce literary works
2. author, also known as authors, contributor, contributors (wd:Q482980): writer of an original work
3. Author! Author! (wd:Q646972): 1982 film by Arthur Hiller
4. Author! Author! (wd:Q2872379): short story by Isaac Asimov
5. .author (wd:Q24033183): top-level domain
6. Author (wd:Q3501429): Czech brand of bicycles
7. Author, Author (wd:Q4825905): episode of Star Trek: Voyager (S7 E20)
8. Author, Author (wd:Q4825909): book by David Lodge
9. Author! Author! (wd:Q4825904): album by Scars
10. Elisabeth Jane Bertrand, also known as Author (wd:Q64629325): Founder of Dolcevia.com, entrepreneur, journalist, writer

[Assistant] The entity for "author" is wd:Q482980 (writer of an original work). Next, I will identify the entity for "United States."

[Tool]
Top 10 entity alternatives:
1. United States, also known as the U.S. of A, United States of America, the US of America, United States of North America, U. S. (wd:Q30): country primarily located in North America
2. U.S. state, also known as U.S. states, US state, USA state, U.S.A. state, United States states (wd:Q35657): constituent political entity of the United States of America
3. United States (wd:Q3604334)
4. United States (wd:Q16959097): 2009 studio album by Paul Gilbert
5. United States (wd:Q3965121): television series
6. United States at the 2013 Summer Universiade, also known as United States (wd:Q17027772): sporting event delegation
7. United States (wd:Q110654358): article in The New International Encyclopædia
8. UNITED STATES (wd:Q93577393): scientific article published in September 1927
9. United States (wd:Q64146392)
10. United States (wd:Q73165358): scientific article published on 01 October 2000

[Assistant] The entity for "United States" is wd:Q30. Next, I will identify the entity for "Massachusetts."

[Tool]
Top 10 entity alternatives:
1. Massachusetts, also known as Mass., US-MA, The Commonwealth of Massachusetts, 6th State, The Bay State (wd:Q771): state of the United States of America
2. Massachusetts, also known as US-MA, The Commonwealth of Massachusetts, Bay State, The Bay State, Taxachusetts (wd:Q771): state of the United States of America
3. 4547 Massachusetts, also known as Massachusetts (wd:Q1045311): asteroid
4. Massachusetts, also known as Massachusetts (The Lights Went Out In), Lights went out in Massachusetts (wd:Q656437): 1967 single by Bee Gees
5. Massachusetts (wd:Q6784161): original song written and composed by Arlo Guthrie
6. How Can You Mend a Broken Heart ...ights Went Out In) Massachusetts, also known as OS 13080, (The Lights Went Out In) Massachusetts, Massachusetts, How Can You Mend a Broken Heart (wd:Q1056006): 1973 single by Bee Gees
7. Massachusetts (wd:Q1166387): 1973 double compilation album by Bee Gees
8. Massachusetts (wd:Q1166389): 1968 compilation album by Bee Gees
9. Massachusetts (wd:Q1166390): 1973 UK compilation album by The Bee Gees
10. Massachusetts (wd:Q17040616): 2013 studio album by Lori McKenna

[Assistant] The entity for "Massachusetts" is wd:Q771. Next, I will identify the property for "citizenship."

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): the object is a country that recognizes the subject as its citizen, country
2. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): country a person or a team represents when playing a sport, country
3. permanent resident of, also known as landed immigrant of, PR (wd:P5389 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): country or region where a person has the legal status of permanent resident
4. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): person or organization occupying property, used by
5. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): most specific known birth location of a person, animal or fictional character, location
7. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): the place where the person is or has been, resident, location
8. right to vote, also known as suffrage (wd:P2964 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): people who have right to vote at this election, referendum, etc.
9. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): category item that groups people born in this place, related category
10. A New Nation Votes ID (wd:P12578 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): ID of a person in A New Nation Votes: American Electoral Returns, 1788-1825

[Assistant] The property for "citizenship" is wd:P27 (country of citizenship). Next, I will identify the property for "date of birth."

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): date on which the subject was born, inception
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): most specific known birth location of a person, animal or fictional character, location
3. birthday, also known as b-day, bday, birth day (wd:P3150 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): the object is a country that recognizes the subject as its citizen, country
5. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): what the place, monument, memorial, or holiday, commemorates, main subject
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): full name of a person at birth, if different from their current, generally used name, name
7. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): dissolved, abolished or demolished date, date on which the subject died, end time
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): time when an entity begins to exist; for date of official opening use P1619, start time
9. website username or ID, also known as user name, website username, website ID, username in social media, username (wd:P554 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): username or identifier on a website that the person or movement ... account on, for use as qualifier of "website account on" (P553)
10. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): alias used by someone (for nickname use P1449), name

[Assistant] The property for "date of birth" is wd:P569. Next, I will identify the property for "place of birth."

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): the object is a country that recognizes the subject as its citizen, country
4. birthday, also known as b-day, bday, birth day (wd:P3150 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): full name of a person at birth, if different from their current, generally used name, name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): category item that groups people born in this place, related category
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant] The property for "place of birth" is wd:P19. Next, I will identify how to filter for living people. Usually, this is done by checking the absence of a date of death (wd:P570). I will verify this by checking if "date of death" is wd:P570.

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): dissolved, abolished or demolished date, date on which the subject died, end time
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): date on which the subject was born, inception
4. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): date on which the person was buried or cremated soon after death, point in time
5. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): total (cumulative) number of people who died since start as a direct result of an event or cause
6. birthday, also known as b-day, bday, birth day (wd:P3150 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
7. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): what the place, monument, memorial, or holiday, commemorates, main subject
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): time when an entity begins to exist; for date of official opening use P1619, start time
10. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time

[Assistant]
The property for "date of death" is wd:P570. To filter living people, I will check for the absence of this property.

Now I have all the necessary entities and properties:
- Author: wd:Q482980
- United States: wd:Q30
- Massachusetts: wd:Q771
- Country of citizenship: wd:P27
- Date of birth: wd:P569
- Place of birth: wd:P19
- Date of death: wd:P570 (to check absence for living people)

I will now construct the SPARQL query to find living authors who are citizens of the United States, born in Massachusetts after 1919, including their birthplace and date of birth, ordered by date of birth.

[Tool]
Got 26 rows and 5 columns, showing the first 5 and last 5 rows below:
| author                          | authorLabel             | birthPlace             | birthPlaceLabel | dateOfBirth                         |
| ------------------------------- | ----------------------- | ---------------------- | --------------- | ----------------------------------- |
| Bambi Jones (wd:Q4853375)       | Bambi Jones (en)        | Holyoke (wd:Q1637790)  | Holyoke (en)    | 1931-01-01T00:00:00Z (xsd:dateTime) |
| Burton Malkiel (wd:Q1072872)    | Burton Malkiel (en)     | Boston (wd:Q100)       | Boston (en)     | 1932-08-28T00:00:00Z (xsd:dateTime) |
| Raymond E. Fowler (wd:Q7298740) | Raymond E. Fowler (en)  | Salem (wd:Q54140)      | Salem (en)      | 1933-11-11T00:00:00Z (xsd:dateTime) |
| Lawrence Bossidy (wd:Q6503868)  | Lawrence Bossidy (en)   | Pittsfield (wd:Q49184) | Pittsfield (en) | 1935-03-05T00:00:00Z (xsd:dateTime) |
| Buffy Sainte-Marie (wd:Q467027) | Buffy Sainte-Marie (en) | Stoneham (wd:Q2901023) | Stoneham (en)   | 1941-02-20T00:00:00Z (xsd:dateTime) |
| ...                             | ...                     | ...                    | ...             | ...                                 |
| Steve Kornacki (wd:Q7613068)    | Steve Kornacki (en)     | Groton (wd:Q3776991)   | Groton (en)     | 1979-08-01T00:00:00Z (xsd:dateTime) |
| Farnoosh Torabi (wd:Q5436041)   | Farnoosh Torabi (en)    | Worcester (wd:Q49179)  | Worcester (en)  | 1980-02-15T00:00:00Z (xsd:dateTime) |
| Freida McFadden (wd:Q121304449) | Freida McFadden (en)    | Boston (wd:Q100)       | Boston (en)     | 1980-05-01T00:00:00Z (xsd:dateTime) |
| Hilaria Baldwin (wd:Q24702913)  | Hilaria Baldwin (en)    | Boston (wd:Q100)       | Boston (en)     | 1984-01-06T00:00:00Z (xsd:dateTime) |
| David Roth (wd:Q62413627)       | David Roth (en)         | Boston (wd:Q100)       | Boston (en)     | 1989-04-12T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?article WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  FILTER NOT EXISTS {
    ?article rdfs:label ?label .
    FILTER ( LANG( ?label ) = "en" )
  }
}

The scholarly articles published in the journal Geosphere that do not have an English label are identified by their Wikidata IDs. One example is wd:Q102354418. The query returns all such articles without English labels.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which scholarly articles published in the journal Geosphere do not have an English label?

[Assistant] Step 1: Identify the entity for the journal "Geosphere" in Wikidata. I will search for the entity corresponding to the journal "Geosphere".

[Tool]
Top 10 entity alternatives:
1. geosphere (wd:Q241284): collective name for the lithosphere, the hydrosphere, the cryosphere, and the atmosphere
2. Geosphere (wd:Q15817086): journal
3. geosphere (wd:L34735-F1)
4. geosphere (wd:L34735)
5. geosphere (wd:L1160508-S1)
6. GeoSphere Austria (wd:Q116189368): meteorological service of Austria (since 2023)
7. geospheres (wd:L34735-F2)
8. interacting geosphere (wd:L34741-S1)
9. ENWEST GEOSPHERE──ANTHROPOSPHE (wd:Q98517768): article published in 1997
10. Sun and Geosphere, also known as Sun and geosphere: the internati...nal of research and applications (wd:Q131312884): scientific journal

[Assistant]
The entity for the journal "Geosphere" is wd:Q15817086.

Step 2: Identify the property for "published in" to find scholarly articles published in this journal. I will search for the property related to "published in".

[Tool]
Top 10 property alternatives:
1. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): larger work that a given work was published in, like a book, journal or music album, part of
2. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): date or point in time when a work was first published or released, point in time
3. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): geographical place of publication of the edition (use 1st edition when referring to works), significant place
4. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): time of the first public presentation of a subject by the creator, of information by the media, point in time
5. introduced in, also known as added in, introduced by, first published in, first appeared in (wd:P10695 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): work that introduced this concept
6. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): platform for which a work was developed or released, or the specific platform version of a software product
7. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): work where this item is described, attested in
9. full work available at URL, also known as full text available at, full text available at URL, full text url, online mirror, online version (wd:P953 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): URL of a web page containing the full body of this item, URL
10. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): notable scientific, artistic or literary work, or other work of significance among subject's works

[Assistant]
The property for "published in" is wd:P1433.

Step 3: Identify the property for the label of an article in English. Labels are usually handled by rdfs:label with language tags. We want to find articles that do not have an English label.

Step 4: Formulate a SPARQL query to find scholarly articles published in the journal Geosphere (wd:Q15817086) that do not have an English label. I will write a query that selects articles (?article) where ?article wdt:P1433 wd:Q15817086 and FILTER NOT EXISTS { ?article rdfs:label ?label FILTER (LANG(?label) = "en") }.

I will now write and execute this query to check if it returns results.

[Tool]
Got 1 row and 1 column:
| article       |
| ------------- |
| wd:Q102354418 |

[Assistant]
The query returned one scholarly article published in the journal Geosphere that does not have an English label: wd:Q102354418.

Step 5: To provide a more complete answer, I will extend the query to return all such articles without an English label. I will also optionally include labels in other languages for better understanding.

[Tool] Stopped generation process


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?person ?eloRating ?dateOfBirth WHERE {
  ?person p:P1087 ?eloStatement .
  ?eloStatement ps:P1087 ?eloRating .
  ?eloStatement pq:P585 ?ratingDate .
  ?person wdt:P569 ?dateOfBirth .
  FILTER ( YEAR( ?ratingDate ) = 2007 ) FILTER ( MONTH( ?ratingDate ) = 4 ) FILTER ( ?eloRating = YEAR( ?dateOfBirth ) )
}

The individual who had an Elo rating in April 2007 that is exactly their year of birth is Alexandr Ponomarenko. His Elo rating was 1993, and his date of birth is April 15, 1993.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which individuals had an Elo rating in April 2007 that is exactly their year of birth, and what were their Elo ratings and dates of birth?

[Assistant]
To answer this question, I need to find individuals who had an Elo rating in April 2007 that matches exactly their year of birth. This involves the following steps:

1. Identify the property for Elo rating.
2. Identify the property for the date of the Elo rating (to filter for April 2007).
3. Identify the property for the date of birth.
4. Retrieve individuals with an Elo rating statement qualified by a date in April 2007.
5. Filter those individuals where the Elo rating value equals the year of birth.

I will start by searching for the property related to "Elo rating."

[Tool]
Top 10 property alternatives:
1. Elo rating (wd:P1087 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): quantitative measure of one's game-playing ability, particularly in classical chess
2. review score, also known as rating (score), review rating (wd:P444 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): review score received by a creative work or other entity
3. rating (wd:P4271 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): qualifier to indicate a score given by the referenced source indicating the quality or completeness of the statement
4. number of reviews/ratings, also known as number of reviews, ratings, reviews, number of ratings (wd:P7887 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): qualifier on review score to state the number of user reviews, user ratings or critic reviews
5. dan/kyu rank, also known as go rank, wushu rank, shogi rank, renju rank, kendo rank (wd:P468 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): rank system used in several board games (e.g. go, shogi, renju), martial arts (e.g. judo, kendo, wushu) and some other games
6. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): subject's ordinal position as qualitatively evaluated relative to other members of a group
7. score method, also known as scoring system, score type, scoring metric, scoring method, score system (wd:P1443 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): qualifier of "points/goal scored by (P1363)"
8. league level above, also known as level above (league), promotion to (wd:P2499 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): the league above this sports league, next higher rank
9. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
10. military or police rank, also known as military rank, naval rank, police rank, rank (wd:P410 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): military or police rank achieved by a person (should usually hav...ualifier), or military or police rank associated with a position

[Assistant] The property for Elo rating is wd:P1087. Next, I need to find the property used to specify the date of the Elo rating statement (qualifier) to filter for April 2007. I will search for qualifiers related to date or time for Elo rating (wd:P1087).

[Tool]
Got 1 row and 3 columns:
| subject                | property | object               |
| ---------------------- | -------- | -------------------- |
| Elo rating (wdt:P1087) | rdf:type | owl:DatatypeProperty |

[Assistant] The direct property wdt:P1087 is a datatype property for Elo rating values. To find qualifiers (such as date of the rating), I need to look at the statement level properties (p:P1087) for qualifiers related to date or time. I will list the properties used as qualifiers for statements with property P1087 (Elo rating).

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                          | property             | object                                            |
| -------------------------------- | -------------------- | ------------------------------------------------- |
| Magnus Carlsen (wd:Q106807)      | Elo rating (p:P1087) | s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B    |
| Mikhail Tal (wd:Q102664)         | Elo rating (p:P1087) | s:Q102664-0c4cfe4f-2e37-4bf1-99a4-7a07e179f1eb    |
| Vasily Smyslov (wd:Q104148)      | Elo rating (p:P1087) | s:Q104148-070A06C1-065A-4527-AFD7-AB41436E5928    |
| Alexander Khalifman (wd:Q106374) | Elo rating (p:P1087) | s:Q106374-046A1CED-407D-4168-9185-9ADD5FA760C4    |
| Anna Cramling (wd:Q104539456)    | Elo rating (p:P1087) | s:Q104539456-003C73F1-1B0B-44E4-A4B2-E44EAF76493B |
| Carlos Guimard (wd:Q1042965)     | Elo rating (p:P1087) | s:Q1042965-02949667-e10c-41b2-8281-7081a816ec87   |
| Christian Bauer (wd:Q1078924)    | Elo rating (p:P1087) | s:Q1078924-03CCEC79-FDB8-4119-A2B8-A6B91CFDB78D   |
| Carlos Bielicki (wd:Q1042752)    | Elo rating (p:P1087) | s:Q1042752-02045444-A46C-4F1A-A500-9B762CB65E5E   |
| Tatiana Melamed (wd:Q108199)     | Elo rating (p:P1087) | s:Q108199-01CD75D5-EAA6-4173-9FC5-9DF57EF266D9    |
| Camila Colombo (wd:Q1028926)     | Elo rating (p:P1087) | s:Q1028926-049DA126-1CCA-4323-AACF-66AE0F8B4E9E   |
| ...                              | ...                  | ...                                               |

[Assistant] I found statements with property P1087 (Elo rating) for various individuals. Now I want to find the qualifiers used in these statements to identify the date qualifier. I will list the properties used as qualifiers for the statement nodes of Elo rating for one individual, for example Magnus Carlsen (wd:Q106807).

[Tool]
Got 7 rows and 3 columns:
| subject                                        | property                 | object                                       |
| ---------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | Elo rating (ps:P1087)    | 2882 (xsd:decimal)                           |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | point in time (pq:P585)  | 2014-05-01T00:00:00Z (xsd:dateTime)          |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | wikibase:rank            | wikibase:NormalRank                          |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | rdf:type                 | wikibase:Statement                           |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | prov:wasDerivedFrom      | ref:a13cb5b476f8dd365e5c22a686a3ad7791ac569f |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | Elo rating (psv:P1087)   | v:7eb179c14755792dee594f7aebfaf7a7           |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | point in time (pqv:P585) | v:e0e14f5714aca22bfe702639db968957           |

[Assistant] The qualifier for the date of the Elo rating is "point in time" with property pq:P585. Now I need to find the property for date of birth to compare with the Elo rating year. I will search for the property "date of birth."

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): date on which the subject was born, inception
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): most specific known birth location of a person, animal or fictional character, location
3. birthday, also known as b-day, bday, birth day (wd:P3150 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): the object is a country that recognizes the subject as its citizen, country
5. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): what the place, monument, memorial, or holiday, commemorates, main subject
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): full name of a person at birth, if different from their current, generally used name, name
7. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): dissolved, abolished or demolished date, date on which the subject died, end time
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): time when an entity begins to exist; for date of official opening use P1619, start time
9. website username or ID, also known as user name, website username, website ID, username in social media, username (wd:P554 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): username or identifier on a website that the person or movement ... account on, for use as qualifier of "website account on" (P553)
10. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as wdtn/pq/psn/p/prn/psv/wdt/pr/prv/pqn/pqv/ps): alias used by someone (for nickname use P1449), name

[Assistant] The property for date of birth is wd:P569. Now I will write a SPARQL query to find individuals with an Elo rating (P1087) statement qualified by a point in time (P585) in April 2007, where the Elo rating value equals the year of birth extracted from the date of birth (P569). I will retrieve the individual's IRI, Elo rating value, and date of birth.

[Tool]
Got 1 row and 3 columns:
| person                              | eloRating          | dateOfBirth                         |
| ----------------------------------- | ------------------ | ----------------------------------- |
| Alexandr Ponomarenko (wd:Q27580000) | 1993 (xsd:decimal) | 1993-04-15T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?unit ?unitLabel ?part ?partLabel ?largerUnit ?largerUnitLabel ?geolexID WHERE {
  ?unit wdt:P31 / wdt:P279 * wd:Q3550897 .
  ?unit wdt:P131 wd:Q816 .
  OPTIONAL {
    ?unit wdt:P527 ?part .
    ?part rdfs:label ?partLabel
    FILTER ( LANG( ?partLabel ) = "en" )
  }
  OPTIONAL {
    ?unit wdt:P361 ?largerUnit .
    ?largerUnit rdfs:label ?largerUnitLabel
    FILTER ( LANG( ?largerUnitLabel ) = "en" )
  }
  OPTIONAL {
    ?unit wdt:P6202 ?geolexID .
  }
  OPTIONAL {
    ?unit rdfs:label ?unitLabel FILTER ( LANG( ?unitLabel ) = "en" )
  }
}
LIMIT 100

Got 100 rows and 7 columns, showing the first 5 and last 5 rows below:
| unit                                       | unitLabel                       | part                                       | partLabel                       | largerUnit                       | largerUnitLabel       | geolexID         |
| ------------------------------------------ | ------------------------------- | ------------------------------------------ | ------------------------------- | -------------------------------- | --------------------- | ---------------- |
| Ignacio Quartzite (wd:Q100366128)          | Ignacio Quartzite (en)          |                                            |                                 |                                  |                       | Ignacio_8917     |
| McCracken Sandstone Member (wd:Q100366180) | McCracken Sandstone Member (en) |                                            |                                 | Elbert Formation (wd:Q100366213) | Elbert Formation (en) |                  |
| Elbert Formation (wd:Q100366213)           | Elbert Formation (en)           | McCracken Sandstone Member (wd:Q100366180) | McCracken Sandstone Member (en) |                                  |                       | Elbert_7602      |
| Mazatzal Quartzite (wd:Q104772138)         | Mazatzal Quartzite (en)         |                                            |                                 |                                  |                       | Mazatzal_16177   |
| Chinle Formation (wd:Q1074382)             | Chinle Formation (en)           | Petrified Forest Member (wd:Q18158472)     | Petrified Forest Member (en)    |                                  |                       | Chinle_4997      |
| ...                                        | ...                             | ...                                        | ...                             | ...                              | ...                   | ...              |
| Entrada Sandstone (wd:Q5380652)            | Entrada Sandstone (en)          | Iyanbito Member (wd:Q64023683)             | Iyanbito Member (en)            | San Rafael Group (wd:Q7415211)   | San Rafael Group (en) | Entrada_7642     |
| Organ Rock Formation (wd:Q54874432)        | Organ Rock Formation (en)       |                                            |                                 | Cutler Formation (wd:Q1146515)   | Cutler Formation (en) | OrganRock_9691   |
| Glen Canyon Group (wd:Q5567629)            | Glen Canyon Group (en)          | Navajo Sandstone (wd:Q3118347)             | Navajo Sandstone (en)           |                                  |                       | GlenCanyon_8366  |
| Glen Canyon Group (wd:Q5567629)            | Glen Canyon Group (en)          | Wingate Sandstone (wd:Q8025150)            | Wingate Sandstone (en)          |                                  |                       | GlenCanyon_8366  |
| Grand Canyon Supergroup (wd:Q5594363)      | Grand Canyon Supergroup (en)    | Nankoweap Formation (wd:Q14439111)         | Nankoweap Formation (en)        |                                  |                       | GrandCanyon_8437 |

There are distinct lithostratigraphic units located in Arizona. Some examples include Ignacio Quartzite, McCracken Sandstone Member, Elbert Formation, Mazatzal Quartzite, Chinle Formation, Supai Formation, and Kaibab Limestone. Some of these units have parts (subunits) such as McCracken Sandstone Member is part of Elbert Formation, Petrified Forest Member is part of Chinle Formation, and Harrisburg Member and Fossil Mountain Member are parts of Kaibab Limestone. Some units are part of larger units, for example, McCracken Sandstone Member is part of Elbert Formation. Geolex IDs are available for some units, e.g., Ignacio Quartzite has Geolex ID Ignacio_8917, Elbert Formation has Geolex ID Elbert_7602, Mazatzal Quartzite has Geolex ID Mazatzal_16177, Chinle Formation has Geolex ID Chinle_4997, Supai Formation has Geolex ID Supai_6213, and Kaibab Limestone has Geolex ID Kaibab_9032.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the distinct lithostratigraphic units located in Arizona? Please include any parts they have (if available, the larger units they are part of (if available), and their Geolex IDs (if available).

[Assistant]
To answer the question about distinct lithostratigraphic units located in Arizona, including their parts, larger units they are part of, and their Geolex IDs, I will proceed with the following steps:

1. Identify the entity for "Arizona" in Wikidata.
2. Identify the property for "lithostratigraphic unit" or similar geological unit.
3. Query for lithostratigraphic units located in Arizona.
4. Retrieve any parts (subunits) of these lithostratigraphic units.
5. Retrieve any larger units these lithostratigraphic units are part of.
6. Retrieve Geolex IDs if available for these units.

I will start by searching for the entity "Arizona" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Arizona, also known as Ariz., US-AZ, The Grand Canyon State, State of Arizona, Grand Canyon State (wd:Q816): state of the United States of America
2. Arizona, also known as Ariz., Arizona, United States, AZ, US-AZ, Grand Canyon State (wd:Q816): state of the United States of America
3. University of Arizona, also known as Arizona, UofA, U of A, Univ. of Az, Univ. of Arizona (wd:Q503419): public university in Tucson, Arizona, United States
4. Arizona (wd:Q2254748): municipality in Atlántida Department, Honduras
5. Arizona (wd:Q670059): 1940 film by Wesley Ruggles
6. Arizona (wd:Q634389): 1918 silent film drama
7. Arizona (wd:Q2861452): 1913 film by Augustus Thomas
8. Arizona, also known as Glossy snake (wd:Q14089080): genus of reptiles
9. Arizona (wd:Q4791227): municipality and village in San Luis, Argentina
10. Arizona, also known as Men Are Like That (wd:Q3196815): 1931 film by George B. Seitz

[Assistant] The entity for the state of Arizona in the United States is wd:Q816. Next, I will search for lithostratigraphic units located in Arizona. To do this, I need to identify the property or class for lithostratigraphic units in Wikidata. I will search for "lithostratigraphic unit" to find the relevant entity or property.

[Tool]
Top 10 entity alternatives:
1. lithostratigraphic unit, also known as rock unit (wd:Q3550897): geologic unit denoting a specific body of rock based on its lithologic or stratigraphic characteristics
2. former lithostratigraphic unit (wd:Q109902873): lithostratigraphic unit that has been superseded by a different unit
3. sedimentary lithostratigraphic unit (wd:Q28021934)
4. 1, also known as unity, ١, unit one, unit, one (wd:Q199): natural number
5. unit of measurement, also known as measurement unit, unit, unit of measure (wd:Q47574): real scalar quantity, defined and adopted by convention, with wh...red to express the ratio of the two quantities as a number (VIM)
6. unit of measurement, also known as measurement unit, unit, unit of measure (wd:Q47574): real scalar quantity, defined and adopted by convention, with wh...red to express the ratio of the two quantities as a number (VIM)
7. apartment, also known as dwelling, flat, flats, unit (wd:Q188507): self-contained housing unit occupying part of a building
8. lithostratigraphy, also known as lithostratigraphic, lithostratigraphical (wd:Q856124): method of establishing stratigraphical units
9. division, also known as organizational branch, unit of an organization, unit, section of an organization, section (wd:Q334453): distinct and large part of an organization
10. unit, also known as invertible element (wd:Q118084): in mathematics, an invertible element or a unit in a ring R

[Assistant] The entity for lithostratigraphic unit is wd:Q3550897. Now, I will find lithostratigraphic units (wd:Q3550897) that are located in Arizona (wd:Q816). The property for location or occurrence might be "located in the administrative territorial entity" (wdt:P131) or a similar property. I will check for lithostratigraphic units with location in Arizona.

[Tool] Got no rows and 2 columns

[Assistant] The property "located in the administrative territorial entity" (wdt:P131) does not seem to be used for lithostratigraphic units to indicate their location in Arizona. I will try a different approach by searching for properties related to location or geological occurrence for lithostratigraphic units. I will search for properties of lithostratigraphic units with the keyword "location" or "located".

[Tool]
Top 10 property alternatives:
1. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
2. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as p/wdt): when this subject is used as object of “instance of”, the following properties normally apply
3. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
4. Google Knowledge Graph ID, also known as MREID, Google Knowledge Panel ID, Google knowledge panel, kgmid (wd:P2671 as wdtn/wdt/p): identifier for Google Knowledge Graph API, starting with "/g/". For IDs starting with "/m/", use Freebase ID (P646)

No other items found

[Assistant] There are no direct properties related to location for lithostratigraphic units. I will try a different approach by searching for geological units that have a statement about being located in Arizona using a more general property like "located in the administrative territorial entity" (wdt:P131) or "country" (wdt:P17) or "located on terrain feature" (wdt:P706). I will search for entities that are instances of lithostratigraphic units and have a location related to Arizona.

[Tool] Got no rows and 2 columns

[Assistant] The property "located on terrain feature" (wdt:P706) with a location that is in Arizona does not yield results either. I will try another approach by searching for geological formations or units that have a "located in the administrative territorial entity" (wdt:P131) or "country" (wdt:P17) as Arizona or United States and are instances of lithostratigraphic units or subclasses of lithostratigraphic units. I will try with "located in the administrative territorial entity" (wdt:P131) first.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| unit                                       | unitLabel                       |
| ------------------------------------------ | ------------------------------- |
| Ignacio Quartzite (wd:Q100366128)          | Ignacio Quartzite (en)          |
| McCracken Sandstone Member (wd:Q100366180) | McCracken Sandstone Member (en) |
| Elbert Formation (wd:Q100366213)           | Elbert Formation (en)           |
| Mazatzal Quartzite (wd:Q104772138)         | Mazatzal Quartzite (en)         |
| Chinle Formation (wd:Q1074382)             | Chinle Formation (en)           |
| ...                                        | ...                             |
| Snyder Hill Formation (wd:Q18378899)       | Snyder Hill Formation (en)      |
| Quiburis Formation (wd:Q18389945)          | Quiburis Formation (en)         |
| St. David Formation (wd:Q18392645)         | St. David Formation (en)        |
| Supai Formation (wd:Q18393117)             | Supai Formation (en)            |
| Kaibab Limestone (wd:Q1991613)             | Kaibab Limestone (en)           |

[Assistant] I found distinct lithostratigraphic units located in Arizona. Now I will extend the query to also retrieve any parts (subunits) they have, larger units they are part of, and their Geolex IDs if available. The parts can be found using the property "has part" (wdt:P527), larger units using "part of" (wdt:P361), and Geolex ID might be stored as an identifier property, I will check for a Geolex ID property.

[Tool]
Top 10 property alternatives:
1. Geolex ID, also known as GEOLEX ID, Geolex identifier (wd:P6202 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): ID for every stratigraphic unit in the United States of America (USA) given by the United States Geological Survey
2. GeoLOD ID, also known as GeoLOD identifier (wd:P12170 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for a place in Japan
3. GeolISSTerm ID, also known as Geološka terminologija i nomenklatura ID, Geološki Informacioni Sistem Srb...logija i nomenklatura identifier, Geološki Informacioni Sistem Srb... terminologija i nomenklatura ID, Geološka terminologija i nomenklatura identifier, Geological Terminology and Nomenclature identifier (wd:P10748 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for a term in the GeolISSTerm terminology dictionary
4. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier in the GeoNames geographical database
5. GeoSciML ID (wd:P10727 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): Geoscience Vocabularies for Linked Data
6. Géopatronyme ID, also known as Geopatronyme ID (wd:P3370 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier of a family name in the Géopatronyme database
7. Indo-European Lexicon ID, also known as IELEX ID (wd:P13192 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): entry in the University of Texas at Austin’s Indo-European Lexicon
8. GNIS Feature ID, also known as GNIS ID, USGS GNIS ID, Geographic Names Information System ID (wd:P590 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for geographic objects in the United States issued by the USGS. For Antarctica, use Property:P804
9. Interlex ID, also known as Neurolex ID (wd:P696 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier in the Interlex database (used to be Neurolex)
10. ÖCV Biolex ID, also known as Biographische Lexikon ID, Biolex ID, ÖCV Biographisches Lexikon ID, OCV Biolex ID, Österreichischer Cartellverband Biographisches Lexikon ID (wd:P9415 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for a person in the ÖCV Biolex biographical dictionary

[Assistant] The property for Geolex ID is wd:P6202. I will now write a SPARQL query to retrieve distinct lithostratigraphic units located in Arizona (wd:Q816), including their parts (wdt:P527), larger units they are part of (wdt:P361), and their Geolex IDs (wdt:P6202). I will also include labels for readability.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.1 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query failed due to memory limitations. I will reduce the limit and simplify the query by retrieving only the units with their Geolex IDs and then separately retrieve parts and larger units for these units. First, I will get the units with their Geolex IDs.

[Tool]
Got 50 rows and 3 columns, showing the first 5 and last 5 rows below:
| unit                                       | unitLabel                       | geolexID       |
| ------------------------------------------ | ------------------------------- | -------------- |
| Ignacio Quartzite (wd:Q100366128)          | Ignacio Quartzite (en)          | Ignacio_8917   |
| McCracken Sandstone Member (wd:Q100366180) | McCracken Sandstone Member (en) |                |
| Elbert Formation (wd:Q100366213)           | Elbert Formation (en)           | Elbert_7602    |
| Mazatzal Quartzite (wd:Q104772138)         | Mazatzal Quartzite (en)         | Mazatzal_16177 |
| Chinle Formation (wd:Q1074382)             | Chinle Formation (en)           | Chinle_4997    |
| ...                                        | ...                             | ...            |
| Snyder Hill Formation (wd:Q18378899)       | Snyder Hill Formation (en)      |                |
| Quiburis Formation (wd:Q18389945)          | Quiburis Formation (en)         |                |
| St. David Formation (wd:Q18392645)         | St. David Formation (en)        |                |
| Supai Formation (wd:Q18393117)             | Supai Formation (en)            | Supai_6213     |
| Kaibab Limestone (wd:Q1991613)             | Kaibab Limestone (en)           | Kaibab_9032    |

[Assistant] I retrieved lithostratigraphic units located in Arizona with their Geolex IDs. Now I will retrieve parts (wdt:P527) and larger units (wdt:P361) for these units. I will limit the query to the first 50 units to avoid memory issues.

[Tool]
Got 16 rows and 6 columns, showing the first 5 and last 5 rows below:
| unit                                       | unitLabel                       | part                                       | partLabel                       | largerUnit                       | largerUnitLabel       |
| ------------------------------------------ | ------------------------------- | ------------------------------------------ | ------------------------------- | -------------------------------- | --------------------- |
| Ignacio Quartzite (wd:Q100366128)          | Ignacio Quartzite (en)          |                                            |                                 |                                  |                       |
| McCracken Sandstone Member (wd:Q100366180) | McCracken Sandstone Member (en) |                                            |                                 | Elbert Formation (wd:Q100366213) | Elbert Formation (en) |
| Elbert Formation (wd:Q100366213)           | Elbert Formation (en)           | McCracken Sandstone Member (wd:Q100366180) | McCracken Sandstone Member (en) |                                  |                       |
| Mazatzal Quartzite (wd:Q104772138)         | Mazatzal Quartzite (en)         |                                            |                                 |                                  |                       |
| Chinle Formation (wd:Q1074382)             | Chinle Formation (en)           | Petrified Forest Member (wd:Q18158472)     | Petrified Forest Member (en)    |                                  |                       |
| ...                                        | ...                             | ...                                        | ...                             | ...                              | ...                   |
| Quiburis Formation (wd:Q18389945)          | Quiburis Formation (en)         |                                            |                                 |                                  |                       |
| St. David Formation (wd:Q18392645)         | St. David Formation (en)        |                                            |                                 |                                  |                       |
| Supai Formation (wd:Q18393117)             | Supai Formation (en)            |                                            |                                 |                                  |                       |
| Kaibab Limestone (wd:Q1991613)             | Kaibab Limestone (en)           | Harrisburg Member (wd:Q57602687)           | Harrisburg Member (en)          |                                  |                       |
| Kaibab Limestone (wd:Q1991613)             | Kaibab Limestone (en)           | Fossil Mountain Member (wd:Q57602721)      | Fossil Mountain Member (en)     |                                  |                       |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?tournament ?tournamentLabel ?country ?countryLabel ?endTime ?location ?locationLabel ?editionNumber ?pointInTime ?surface ?surfaceLabel WHERE {
  ?tournament wdt:P361 wd:Q23039138 .
  OPTIONAL {
    ?tournament wdt:P17 ?country .
    OPTIONAL {
      ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?tournament wdt:P582 ?endTime .
  }
  OPTIONAL {
    ?tournament wdt:P276 ?location .
    OPTIONAL {
      ?location rdfs:label ?locationLabel FILTER ( LANG( ?locationLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?tournament wdt:P393 ?editionNumber .
  }
  OPTIONAL {
    ?tournament wdt:P585 ?pointInTime .
  }
  OPTIONAL {
    ?tournament wdt:P2094 ?surface .
    OPTIONAL {
      ?surface rdfs:label ?surfaceLabel FILTER ( LANG( ?surfaceLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?tournament rdfs:label ?tournamentLabel FILTER ( LANG( ?tournamentLabel ) = "en" )
  }
}
ORDER BY ASC ( ?endTime )

I retrieved the details of all tennis tournaments that were part of the 2018 ATP World Tour. The details include the tournament item, country (if available), end time (if available), location (if available), edition number (if available), point in time (if available), and surface played on (if available). The results are sorted in ascending order by end time.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the details of all tennis tournaments that were part of the 2018 ATP World Tour? Please include the tournament item, country (if available), end time (if available), location (if available), edition number (if available), point in time (if available), and surface played on (if available), sorted in ascending order by end time.

[Assistant]
To answer the question, I need to identify the tennis tournaments that were part of the 2018 ATP World Tour. Then, I will retrieve the requested details for each tournament: tournament item, country, end time, location, edition number, point in time, and surface played on. Finally, I will sort the results in ascending order by end time.

Step 1: Identify the entity for the 2018 ATP World Tour.
Step 2: Find the tennis tournaments that were part of this tour.
Step 3: Retrieve the requested details for each tournament.
Step 4: Sort the results by end time in ascending order.

I will start by searching for the entity "2018 ATP World Tour" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. 2018 ATP World Tour (wd:Q23039138): tennis circuit
2. 2018 ATP World Tour Masters 1000 (wd:Q50063551): tennis tour
3. ATP Tour, also known as ATP World Tour (wd:Q300008): series of men's tennis tournaments
4. ATP Finals, also known as Tennis Masters Cup, ATP World Tour Finals (wd:Q270907): tier of annual men's tennis tournaments
5. ATP World Tour 250 series, also known as ATP World Tour 250, International Series Tournaments, International Series tennis tournaments, International Series events, ATP World Series (wd:Q300017): tennis tournament category
6. ATP World Tour 500 series, also known as ATP 500, ATP World Tour 500, ATP Masters 500, ATP Championship Series, Double-Week, ATP Championship Series (wd:Q300018): tennis tournament category since 2009
7. 2018 UCI World Tour (wd:Q42317185): cycling races
8. 2010 ATP World Tour, also known as 2010 atp tour (wd:Q300012): tennis circuit
9. 2011 ATP World Tour, also known as 2011 atp tour (wd:Q300013): men's tennis circuit
10. 2009 ATP World Tour, also known as Tennis 2009 Calendare ATP ITF, 2009 ATP Tour, Juego 2000 Calendar, 2009 atp tour, ATP Tour 2009 (wd:Q300011): tennis circuit

[Assistant] The entity for "2018 ATP World Tour" is wd:Q23039138. Now, I will find the tennis tournaments that were part of this tour. Typically, tournaments that are part of a tour are linked by a property like "part of" or "part of series." I will look for tournaments that have a property indicating they are part of the 2018 ATP World Tour. I will search for entities that have a "part of" (wdt:P361) or similar property pointing to wd:Q23039138.

[Tool]
Got 39 rows and 3 columns, showing the first 10 rows below:
| subject                                              | property           | object                             |
| ---------------------------------------------------- | ------------------ | ---------------------------------- |
| 2018 Queen's Club Championships (wd:Q12299856)       | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Gerry Weber Open (wd:Q55029555)                 | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Monte-Carlo Rolex Masters (wd:Q29477409)        | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 ABN AMRO World Tennis Tournament (wd:Q47227238) | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Barcelona Open Banco Sabadell (wd:Q51851067)    | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 ATP Lyon Open (wd:Q53493411)                    | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 MercedesCup (wd:Q54783884)                      | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Qatar ExxonMobil Open (wd:Q44318591)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Tata Open Maharashtra (wd:Q44318733)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Diema Xtra Sofia Open (wd:Q47001464)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| ...                                                  | ...                | ...                                |

[Assistant]
I found 39 tennis tournaments that were part of the 2018 ATP World Tour using the "part of" property. Now, I will retrieve the requested details for each tournament: tournament item, country (if available), end time (if available), location (if available), edition number (if available), point in time (if available), and surface played on (if available). I will also sort the results by end time in ascending order.

Properties to consider:
- Country: P17 (country)
- End time: P582 (end time)
- Location: P276 (location)
- Edition number: P393 (edition number)
- Point in time: P585 (point in time)
- Surface played on: P641 (sport) or P2094 (surface played on) - I will check which is appropriate.

I will now construct and execute the SPARQL query to get these details.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant]
The query failed because the SERVICE wikibase:label is not supported by the QLever SPARQL endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use OPTIONAL clauses with rdfs:label to get the labels for the entities.

I will now reconstruct the query accordingly.

[Tool]
Got 39 rows and 11 columns, showing the first 5 and last 5 columns and the first 5 and last 5 rows below:
| tournament                                                   | tournamentLabel                                    | country              | countryLabel     | endTime                             | ... | locationLabel              | editionNumber | pointInTime                         | surface | surfaceLabel |
| ------------------------------------------------------------ | -------------------------------------------------- | -------------------- | ---------------- | ----------------------------------- | --- | -------------------------- | ------------- | ----------------------------------- | ------- | ------------ |
| 2018 Swedish Open (wd:Q55391498)                             | 2018 Swedish Open (en)                             | Sweden (wd:Q34)      | Sweden (en)      |                                     | ... | Båstad Tennis Stadium (en) | 71            | 2018-01-01T00:00:00Z (xsd:dateTime) |         |              |
| 2018 Tata Open Maharashtra (wd:Q44318733)                    | 2018 Tata Open Maharashtra (en)                    | India (wd:Q668)      | India (en)       | 2018-01-06T00:00:00Z (xsd:dateTime) | ... | Pune (en)                  | 23            | 2018-01-01T00:00:00Z (xsd:dateTime) |         |              |
| 2018 Brisbane International (men) (wd:Q46911399)             | 2018 Brisbane International (men) (en)             |                      |                  | 2018-01-07T00:00:00Z (xsd:dateTime) | ... |                            | 10            | 2018-01-01T00:00:00Z (xsd:dateTime) |         |              |
| 2018 Qatar ExxonMobil Open (wd:Q44318591)                    | 2018 Qatar ExxonMobil Open (en)                    | Qatar (wd:Q846)      | Qatar (en)       | 2018-01-08T00:00:00Z (xsd:dateTime) | ... | Doha (en)                  | 26            | 2018-01-01T00:00:00Z (xsd:dateTime) |         |              |
| 2018 Sydney International (men) (wd:Q46911599)               | 2018 Sydney International (men) (en)               |                      |                  | 2018-01-13T00:00:00Z (xsd:dateTime) | ... |                            | 126           | 2018-01-01T00:00:00Z (xsd:dateTime) |         |              |
| ...                                                          | ...                                                | ...                  | ...              | ...                                 | ... | ...                        | ...           | ...                                 | ...     | ...          |
| 2018 China Open (men) (wd:Q56819344)                         | 2018 China Open (men) (en)                         |                      |                  | 2018-10-07T00:00:00Z (xsd:dateTime) | ... |                            | 19            | 2018-01-01T00:00:00Z (xsd:dateTime) |         |              |
| 2018 Stockholm Open (wd:Q57171456)                           | 2018 Stockholm Open (en)                           | Sweden (wd:Q34)      | Sweden (en)      | 2018-10-21T00:00:00Z (xsd:dateTime) | ... | Royal Tennis Hall (en)     | 49            | 2018-10-01T00:00:00Z (xsd:dateTime) |         |              |
| 2018 Kremlin Cup (men) (wd:Q57314287)                        | 2018 Kremlin Cup (men) (en)                        |                      |                  | 2018-10-21T00:00:00Z (xsd:dateTime) | ... |                            | 29            |                                     |         |              |
| 2018 Swiss Indoors (wd:Q57339856)                            | 2018 Swiss Indoors (en)                            | Switzerland (wd:Q39) | Switzerland (en) | 2018-10-28T00:00:00Z (xsd:dateTime) | ... | St. Jakobshalle (en)       | 49            | 2018-01-01T00:00:00Z (xsd:dateTime) |         |              |
| 2018 Oracle Challenger Series – Houston – Men (wd:Q59994545) | 2018 Oracle Challenger Series – Houston – Men (en) |                      |                  | 2018-11-18T00:00:00Z (xsd:dateTime) | ... |                            |               |                                     |         |              |

[Tool] Stopped generation process


The midpoint coordinates between Paris and Montigny-le-Bretonneux are approximately latitude 48.8136115 and longitude 2.192361.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What is the geographic point that represents the midpoint of the coordinates of Paris (the capital of France) and Montigny-le-Bretonneux (a commune in Yvelines, France)? Return one column for the latitude and one column for the longitude

[Assistant]
To answer this question, I need to:

1. Identify the entities for Paris (capital of France) and Montigny-le-Bretonneux (commune in Yvelines, France).
2. Retrieve the geographic coordinates (latitude and longitude) for both locations.
3. Calculate the midpoint of the coordinates by averaging the latitudes and longitudes.
4. Return the midpoint coordinates as two columns: latitude and longitude.

First, I will search for the entity representing Paris, the capital of France.

[Tool]
Top 10 entity alternatives:
1. capital of France (wd:L658387-S1)
2. capital of France (wd:L297493-S1)
3. capital of france (wd:L625346-S1)
4. bouquinistes, also known as bouquinistes of Paris, France (wd:Q2348104): booksellers of used and antiquarian books who ply their trade along large sections of the banks of the Seine, in Paris
5. Paris, Capital of Modernity (wd:Q58171469)
6. regional capital of France, also known as regional capital (wd:Q20899166): administrative seat of a French "region"
7. Philip of France, Archdeacon of Paris (wd:Q2051323): Capetian prince and archdeacon of Paris (c.1132–1160), priest
8. capital parish of Venezuela (wd:Q55456184): special administrative division in Venezuela under municipalities
9. Paris: Capital of the World (wd:Q58530941)
10. The arcades project, also known as Paris, capital of the nineteenth century (wd:Q4785097): book by Walter Benjamin

[Tool]
Top 10 entity alternatives:
1. Paris, also known as City of Love, Lutetia, City of Light (wd:Q90): capital city and largest city of France
2. Paris Saint-Germain FC, also known as Paris Saint-Germain, Paris, PSGFC, PSG, Paris Saint-Germain Football Club (wd:Q483020): association football club in Paris, France
3. Paris, also known as Alexandros, Alexander (wd:Q167646): mythological son of Priam, king of Troy, herder
4. Paris, also known as Paris, Texas, Paris, TX (wd:Q830149): city in and county seat of Lamar County, Texas, United States
5. Paris, also known as Paris, ID, Paris, Idaho (wd:Q984459): city in Idaho, United States
6. Paris (wd:Q162121): genus of plants
7. Paris, also known as Paris, IL, Paris Illinois, Paris, Illinois (wd:Q576584): city in Illinois
8. Paris, also known as Paris, AR, Paris, Arkansas (wd:Q79917): city in Arkansas, United States
9. Paris, also known as Paris, KY, Paris, Kentucky (wd:Q3181341): county seat of Bourbon County, Kentucky, United States
10. Paris, also known as Paris, KY, Paris, Kentucky (wd:Q3181341): county seat of Bourbon County, Kentucky, United States

[Assistant] The entity for Paris, the capital city of France, is wd:Q90. Next, I will search for the entity representing Montigny-le-Bretonneux, a commune in Yvelines, France.

[Tool]
Top 10 entity alternatives:
1. Montigny-le-Bretonneux (wd:Q240798): commune in Yvelines, France
2. Montigny-le-Bretonneux (wd:Q240798): commune in Yvelines, France
3. AS Montigny-le-Bretonneux (wd:Q2868096): football club
4. canton of Montigny-le-Bretonneux (wd:Q1726322): canton of France
5. temple de Montigny-le-Bretonneux (wd:Q60428202): meeting house located in Yvelines, in France
6. Mayor of Montigny-le-Bretonneux (wd:Q62587392)
7. municipality of Montigny-le-Bretonneux, also known as Montigny-le-Bretonneux city government, City of Montigny-le-Bretonneux, Administration of Montigny-le-Bretonneux (wd:Q118540991): municipal government of Montigny-le-Bretonneux, France
8. Église Saint-Quentin-des-Sources de Montigny-le-Bretonneux (wd:Q41802013): church located in Yvelines, in France
9. église Saint-Pierre-du-Lac de Montigny-le-Bretonneux (wd:Q41802014): church located in Yvelines, in France
10. Église Saint-Martin de Montigny-le-Bretonneux (wd:Q41802011): church located in Yvelines, in France

[Assistant] The entity for Montigny-le-Bretonneux, a commune in Yvelines, France, is wd:Q240798. Now I will retrieve the geographic coordinates (latitude and longitude) for both Paris (wd:Q90) and Montigny-le-Bretonneux (wd:Q240798).

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. geoshape, also known as Commons map data, geographic data, geographic shape, .map, map data (wd:P3896 as p/wdt): geographic data from Wikimedia Commons
3. locator map image, also known as locator map, map image, map (wd:P242 as p): geographic map image which highlights the location of the subject within some larger entity, image
4. location map (wd:P1943 as p/wdt): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, image
5. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as p/wdt): height of the item (geographical object) as measured relative to sea level
6. shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as p/wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.
7. coordinates of southernmost point, also known as southernmost point coordinates, wikibase:geoLatitude ?min, southerly, farthest south, most south (wd:P1333 as p/wdt): southernmost point of a place. For administrative entities this includes offshore islands
8. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
9. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
10. coordinates of westernmost point, also known as westerly point, wikibase:geoLongitude ?W, westernmost point coordinates, most western, extreme west (wd:P1335 as p/wdt): westernmost point of a location

No other items found

[Assistant] The property for geographic coordinates is "coordinate location" (wdt:P625). I will now retrieve the coordinates for Paris (wd:Q90) and Montigny-le-Bretonneux (wd:Q240798) using this property.

[Tool]
Got 2 rows and 2 columns:
| city                                | coord                                      |
| ----------------------------------- | ------------------------------------------ |
| Montigny-le-Bretonneux (wd:Q240798) | POINT(2.032500 48.770556) (geo:wktLiteral) |
| Paris (wd:Q90)                      | POINT(2.352222 48.856667) (geo:wktLiteral) |

[Assistant]
I have the coordinates for Paris and Montigny-le-Bretonneux as WKT points:
- Paris: POINT(2.352222 48.856667)
- Montigny-le-Bretonneux: POINT(2.032500 48.770556)

The format is POINT(longitude latitude).

Next, I will calculate the midpoint by averaging the latitudes and longitudes:
Midpoint longitude = (2.352222 + 2.032500) / 2
Midpoint latitude = (48.856667 + 48.770556) / 2

I will write a SPARQL query to return these midpoint coordinates as two columns: latitude and longitude.

[Tool] Stopped generation process