PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?person ?placeOfBirth ?placeOfDeath ?countryOfBirth ?startTime ?endTime ( MAX( ?dob ) AS ?maxDob ) ( MAX( ?dod ) AS ?maxDod ) WHERE {
  ?person wdt:P27 wd:Q38 ; wdt:P569 ?dob ; wdt:P570 ?dod ; wdt:P19 ?placeOfBirth ; wdt:P20 ?placeOfDeath .
  FILTER ( ?dod < "1946-06-18" ^^ xsd:date ) ?placeOfBirth wdt:P17 ?countryOfBirth .
  ?countryOfBirth wdt:P571 ?startTime .
  OPTIONAL {
    ?countryOfBirth wdt:P576 ?endTime .
  }
  FILTER ( ?dob >= ?startTime && ( ! BOUND( ?endTime ) || ?dob <= ?endTime ) )
}
GROUP BY ?person ?placeOfBirth ?placeOfDeath ?countryOfBirth ?startTime ?endTime
ORDER BY ?person
LIMIT 100

This refined SPARQL query retrieves Italian citizens who died before June 18, 1946, and were born within the existence period of their country of birth. It includes their date of birth, date of death, place of birth, place of death, and the start and optional end time of their country of birth. The MAX function is used to get one date of birth and date of death per person.

[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 Italian citizens died before June 18, 1946 and were born within the start and end time of their country of birth's existence? Please include their date of birth and date of death, place of birth and place of death, and the start and end time of their country of birth. Use the MAX function to get only one date of birth and date of death.

[Assistant]
To answer this question, I need to find Italian citizens who died before June 18, 1946, and whose date of birth falls within the existence period of their country of birth. I also need to retrieve their date of birth, date of death, place of birth, place of death, and the start and end time of their country of birth. Additionally, I should use the MAX function to get only one date of birth and date of death.

Step 1: Identify the entity for "Italian citizen."
Step 2: Identify properties for date of birth, date of death, place of birth, place of death, and the start and end time of the country of birth.
Step 3: Construct a query to filter Italian citizens who died before June 18, 1946.
Step 4: Filter those whose date of birth is within the start and end time of their country of birth.
Step 5: Use MAX function to get one date of birth and date of death per person.

I will start by searching for the entity "Italian citizen."

[Tool]
Top 10 entity alternatives:
1. Italians, also known as Italian citizens, Italy residents (wd:Q110904399): residents or citizens of Italy, regardless of ethnicity
2. citizens' income in Italy, also known as citizens' income (Italy), Italy's citizens' income, Italian citizens' income, Italy citizens' income (wd:Q97173988): overview of citizens' income in Italy
3. history of Italian citizenship, also known as Italian citizenship history (wd:Q5865004): dictionary article
4. visa requirements for Italian citizens (wd:Q7935472): administrative entry restrictions
5. Fabio Teodoro de Souza, also known as Dual Citizenship (Brazilian & Italian), Mandarin Languages: English, Portuguese, Italian (wd:Q57440161): researcher
6. Italian, also known as Italiano, Italian language, Italiana (wd:Q652): Romance language
7. citizen, also known as citizens (wd:Q1020994): member of a community without defining the spatial territory; for national citizen use Q124626972; for city citizen use Q124627856
8. Citizen Watch, also known as Citizen, Citizen Holdings (wd:Q1368019): core company of a Japanese global corporate group based in Tokyo, Japan
9. culture of Italy, also known as culture in Italy, Italian, Italian culture, Italy culture (wd:Q1992919): pattern of human activity and symbolism associated with Italy and its people
10. Symphony No. 4, also known as Symphony No. 4 in A Major, Op. 90, the Italian, Symphony No. 4 in A major ("Italian"), Op. 90, Italian (wd:Q231213): symphony by Felix Mendelssohn

[Assistant]
The entity "Italians" (wd:Q110904399) corresponds to Italian citizens or residents of Italy. Next, I will identify the properties for date of birth, date of death, place of birth, place of death, and the start and end time of the country of birth.

I will search for properties related to "date of birth" and "date of death" first.

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): alias used by someone (for nickname use P1449), name

[Assistant]
The properties for date of birth and date of death are:
- Date of birth: wdt:P569
- Date of death: wdt:P570

The property for place of birth is wdt:P19, and for place of death is wdt:P20.

Next, I need to find the properties for the start and end time of the country of birth. I will search for properties related to "start time" and "end time" for countries.

[Tool]
Top 10 property alternatives:
1. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): time an entity begins to exist or a statement starts being valid, point in time
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
4. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): earliest date at which an event could have happened. Use as qualifier for other date properties
5. UTC date of spacecraft launch, also known as time of spacecraft launch, spacecraft launch time, spacecraft launch date, launch time, launch date (wd:P619 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date of spacecraft launch in UTC
6. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
7. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
8. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): genomic starting coordinate of the biological sequence (e.g. a gene)
9. start point, also known as start location, launch pad, launch site, starting place, starting point (wd:P1427 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): starting place of this journey, flight, voyage, trek, migration etc., source of transfer, location
10. opening time, also known as hour opens, opens at, opening hour, open hour (wd:P8626 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): time when an establishment or attraction opens, qualifier for P3025

[Tool]
Top 10 property alternatives:
1. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
2. end period, also known as until period (wd:P3416 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): last period in which the statement is still valid (including the period-value)
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
4. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit
5. destination of transfer, also known as recipient, to, target, receiver, end point (wd:P12694 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): entity that a transferred item comes to be associated with as a result of this process
6. terminus, also known as end point, terminating connection, termini, terminuses, trailhead (wd:P559 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the feature (intersecting road, train station, etc.) at the end of a linear feature
7. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
8. end cause, also known as cause of ending, ended by, end has cause, end reason, reason for end (wd:P1534 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier used together with the end date qualifier (P582) to specify the reason for the end
9. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
10. last line, also known as closing line, ending, excipit, final line, final sentence (wd:P3132 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): last line (excipit) of a poem, last sentence of a novel, etc.

[Assistant]
The properties for the start and end time of an entity are:
- Start time: wdt:P580
- End time: wdt:P582

Now I have the necessary properties:
- Italian citizen: wd:Q110904399
- Date of birth: wdt:P569
- Date of death: wdt:P570
- Place of birth: wdt:P19
- Place of death: wdt:P20
- Start time of country of birth: wdt:P580
- End time of country of birth: wdt:P582

I will now construct a SPARQL query to find Italian citizens who died before June 18, 1946, and whose date of birth is within the start and end time of their country of birth. I will also retrieve the requested information and use the MAX function for date of birth and date of death.

[Tool]
SPARQL execution failed:
Invalid SPARQL query: Variable ?dob is selected but not aggregated. All non-aggregated variables must be part of the GROUP BY clause.

[Assistant]
The query failed because I used the MAX function requirement incorrectly. The user requested the use of the MAX function to get only one date of birth and date of death, but I did not apply the MAX function in the query. Also, I need to include the variables in the GROUP BY clause if I don't aggregate them.

I will revise the query to use MAX for date of birth and date of death and group by the other variables accordingly.

[Tool] Got no rows and 8 columns

[Assistant]
The query returned no results. This might be because the condition that the date of birth must be within the start and end time of the country of birth is too restrictive or the data is not available for many individuals.

I will try to relax the condition by checking if the country of birth has either a start time or an end time and then filter accordingly. Also, I will check if the country of birth is Italy (wd:Q38) or related to Italy historically to better match the Italian citizens.

[Tool] Got no rows and 8 columns

[Assistant]
The query still returned no results. It seems that the condition on the date of birth being within the start and end time of the country of birth is too restrictive or the data is not well populated for this specific query.

I will try a different approach by first listing Italian citizens who died before June 18, 1946, and then check their country of birth and the existence period of that country separately to see if there is any data available.

I will start by listing Italian citizens who died before June 18, 1946, with their date of birth, date of death, place of birth, and place of death.

[Tool] Got no rows and 5 columns

[Assistant]
The query returned no results for Italian citizens who died before June 18, 1946, with the specified properties. This might be due to the data not being available or the citizenship property (wdt:P27) not being consistently used for historical persons.

I will try to find people with Italian citizenship (wd:Q110904399) instead of country of citizenship (wd:Q38) to see if that yields any results.

[Tool] Got no rows and 5 columns

[Assistant]
There are no results for people who are members of Italians (wd:Q110904399) with the specified conditions either.

Given the difficulty in finding Italian citizens who died before June 18, 1946, I will try a broader approach by searching for people with place of birth or citizenship related to Italy and died before June 18, 1946.

I will search for people with place of birth in Italy (wd:Q38) and died before June 18, 1946.

[Tool] Got no rows and 5 columns

[Assistant]
There are no results for people born in Italy (wd:Q38) who died before June 18, 1946, with the specified properties.

It seems that the data for historical persons with these specific conditions is not available or not well populated in Wikidata.

Given this, I will cancel the query generation and explain the issue.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The system failed to find an answer and did not provide any SPARQL query attempt. However, the question is complex but feasible to answer with Wikidata. It requires querying Italian citizens who died before June 18, 1946, and were born within the existence period of their country of birth, including their birth and death dates and places, and the country's start and end times. The system should construct a SPARQL query that retrieves these data, uses MAX to get one date of birth and death, and filters accordingly. The system should attempt to write such a query instead of giving up. I recommend retrying with a well-structured SPARQL query that addresses all parts of the question.

[Assistant]
I understand the requirement better now. I will construct a SPARQL query that:
- Finds Italian citizens (wd:Q38 for Italy as country of citizenship)
- Filters those who died before June 18, 1946
- Retrieves their date of birth, date of death, place of birth, place of death
- Retrieves the start and end time of their country of birth
- Filters those whose date of birth is within the start and end time of their country of birth
- Uses MAX to get one date of birth and date of death per person

I will write the query carefully to include all these parts and use GROUP BY and aggregation properly.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is logically structured and correctly uses the MAX function to get one date of birth and date of death per person, and it includes all requested information. However, the query returns no results, which suggests that the constraints might be too strict or that some properties might not be consistently present in the data. For example, the property wdt:P576 (dissolved) might not always be present for countries, or the date filtering might exclude all relevant individuals. It is recommended to refine the query by making the end time optional (using OPTIONAL) and adjusting the date filters accordingly, or by checking if the country of birth's existence period is properly defined for all relevant countries. Also, consider verifying that the date literals use the correct datatype (xsd:dateTime or xsd:date) consistently. This refinement should help retrieve some results and better fulfill the user's request.

[Assistant]
Thank you for the feedback. I will refine the query by making the end time of the country of birth optional and adjusting the date filters accordingly. I will also ensure the date literals use the xsd:date datatype consistently. This should help retrieve results where the end time is not defined and still satisfy the condition that the date of birth is within the country's existence period.

I will update the query accordingly.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?person ?personLabel ?dob WHERE {
  ?person wdt:P69 wd:Q219563 .
  OPTIONAL {
    ?person wdt:P569 ?dob .
  }
  ?person p:P69 ?statement .
  FILTER NOT EXISTS {
    ?statement pq:P512 ?degree .
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
ORDER BY DESC ( ?dob )
LIMIT 500

Got 500 rows and 3 columns, showing the first 5 and last 5 rows below:
| person                            | personLabel            | dob                                 |
| --------------------------------- | ---------------------- | ----------------------------------- |
| Parker Brailsford (wd:Q124301080) | Parker Brailsford (en) | 2003-10-20T00:00:00Z (xsd:dateTime) |
| Rome Odunze (wd:Q114564449)       | Rome Odunze (en)       | 2002-06-03T00:00:00Z (xsd:dateTime) |
| Roger Rosengarten (wd:Q124332486) | Roger Rosengarten (en) | 2002-01-01T00:00:00Z (xsd:dateTime) |
| Jabbar Muhammad (wd:Q123582942)   | Jabbar Muhammad (en)   | 2001-12-28T00:00:00Z (xsd:dateTime) |
| Jalen McMillan (wd:Q113843993)    | Jalen McMillan (en)    | 2001-12-07T00:00:00Z (xsd:dateTime) |
| ...                               | ...                    | ...                                 |
| James Arthur (wd:Q16958479)       | James Arthur (en)      | 1974-07-31T00:00:00Z (xsd:dateTime) |
| Jennifer Paz (wd:Q20685102)       | Jennifer Paz (en)      | 1974-04-01T00:00:00Z (xsd:dateTime) |
| Laure Savasta (wd:Q3218797)       | Laure Savasta (en)     | 1974-03-18T00:00:00Z (xsd:dateTime) |
| Michael Callahan (wd:Q55622962)   | Michael Callahan (en)  | 1974-02-24T00:00:00Z (xsd:dateTime) |
| Peter Craigmile (wd:Q100950082)   | Peter Craigmile (en)   | 1974-01-01T00:00:00Z (xsd:dateTime) |

The query returns up to 500 people who attended the University of Washington but do not have an academic degree qualifier for that statement. Their date of birth is included if available, and the results are ordered by date of birth in descending order.

[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] Who attended the University of Washington but does not have an academic degree qualifier, along with their date of birth if available? Order results in descending order by date of birth, and limit to 500 results.

[Assistant]
To answer this question, I need to identify the entity for "University of Washington" and the property for "educated at" or "attended." Then, I will find people who attended the University of Washington but do not have an academic degree qualifier for that statement. Additionally, I will retrieve their date of birth if available. Finally, I will order the results by date of birth in descending order and limit the output to 500 results.

Step 1: Search for the entity "University of Washington."

[Tool]
Top 10 entity alternatives:
1. University of Washington, also known as UW, washington.edu, UW-Seattle, U. of W., U of W (wd:Q219563): public research university in Seattle, Washington, United States
2. University of Washington, also known as University of Washington station (wd:Q7896563): light rail station in Seattle, Washington
3. University of Mary Washington, also known as Mary Washington College, Mary Washington College of the University of Virginia, State Normal and Industrial School for Woman at Fredericksburg (wd:Q657374): public liberal arts university in Fredericksburg, Virginia, United States
4. Washington Huskies, also known as UW Huskies, University of Washington Huskies, Huskies, University of Washington athletics (wd:Q550397): sports program of the University of Washington
5. University of Washington Press, also known as Univ of Washington Pr (wd:Q3551360): university press
6. UW Tower, also known as Safeco Tower, University of Washington Tower, University of Washington Plaza, Safeco Plaza, Safeco Office Building No. 2 (wd:Q2944917): high-rise building in Seattle, Washington, United States
7. University of Washington Tacoma, also known as UW Tacoma, UWT, tacoma.uw.edu (wd:Q7896583): campus of the University of Washington
8. Washington Park Arboretum, also known as UW Arboretum, University of Washington Arboretum (wd:Q7972107): arboretum at the University of Washington
9. Washington Huskies men's basketball, also known as University of Washington Huskies men's basketball team, University of Washington men's basketball, University of Washington men's basketball team, UW basketball, UW basketball team (wd:Q7971960): basketball team which represents the University of Washington
10. University of Washington Libraries, also known as UW Libraries (wd:Q7896575): academic and research library system

[Assistant] The entity for "University of Washington" is wd:Q219563. Next, I need to find the property for "educated at" or "attended." I will search for properties related to "educated at" or "attended" to find the appropriate property to use.

[Tool]
Top 10 property alternatives:
1. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): educational institution attended by subject, affiliation
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person or organization who grants an award, certification, grant, or role
3. student of, also known as professor, studied under, pupil of, tutor, mentor (wd:P1066 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person who has taught this person, significant person
4. student, also known as teacher to, teacher of, had student, students, pupils (wd:P802 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): notable student(s) of the subject individual, significant person
5. studied in, also known as is studied by, studied by, science, that studies, researched in, researched by (wd:P2579 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): subject is studied by this science or domain, field of work
6. gender educated (wd:P7419 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): genders educated at this educational institution
7. academic major, also known as academic subject, college major, field of study, major, studied (wd:P812 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): major someone studied at college/university
8. has role in modeling, also known as has role in modelling, used for investigating, used for researching, used for studying, used to investigate (wd:P6530 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): relation between a research artefact and an entity that is used ... its replicating or approximating features of the studied entity
9. academic degree, also known as academic diploma, degree, diploma (wd:P512 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): academic degree that the person holds
10. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”

[Assistant] The property for "educated at" is wd:P69. Now I will construct a query to find people who attended the University of Washington (wd:Q219563) using property wd:P69 but do not have an academic degree qualifier (wd:P512) for that statement. I will also retrieve their date of birth (wd:P569) if available. I will order the results by date of birth in descending order and limit the output to 500 results. I will now build and execute this query.

[Tool]
Got 500 rows and 3 columns, showing the first 5 and last 5 rows below:
| person                            | personLabel            | dob                                 |
| --------------------------------- | ---------------------- | ----------------------------------- |
| Parker Brailsford (wd:Q124301080) | Parker Brailsford (en) | 2003-10-20T00:00:00Z (xsd:dateTime) |
| Rome Odunze (wd:Q114564449)       | Rome Odunze (en)       | 2002-06-03T00:00:00Z (xsd:dateTime) |
| Roger Rosengarten (wd:Q124332486) | Roger Rosengarten (en) | 2002-01-01T00:00:00Z (xsd:dateTime) |
| Jabbar Muhammad (wd:Q123582942)   | Jabbar Muhammad (en)   | 2001-12-28T00:00:00Z (xsd:dateTime) |
| Jalen McMillan (wd:Q113843993)    | Jalen McMillan (en)    | 2001-12-07T00:00:00Z (xsd:dateTime) |
| ...                               | ...                    | ...                                 |
| James Arthur (wd:Q16958479)       | James Arthur (en)      | 1974-07-31T00:00:00Z (xsd:dateTime) |
| Jennifer Paz (wd:Q20685102)       | Jennifer Paz (en)      | 1974-04-01T00:00:00Z (xsd:dateTime) |
| Laure Savasta (wd:Q3218797)       | Laure Savasta (en)     | 1974-03-18T00:00:00Z (xsd:dateTime) |
| Michael Callahan (wd:Q55622962)   | Michael Callahan (en)  | 1974-02-24T00:00:00Z (xsd:dateTime) |
| Peter Craigmile (wd:Q100950082)   | Peter Craigmile (en)   | 1974-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves up to 500 people who attended the University of Washington (wd:Q219563) and do not have an academic degree qualifier (pq:P512) on their 'educated at' (P69) statement. It also optionally retrieves their date of birth (P569) and English labels, orders the results by date of birth in descending order, and limits the output to 500 results as requested. The query follows best practices by returning identifiers and labels optionally, and the filtering logic is correctly implemented. The execution result shows plausible data consistent with the query. No further refinements are necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?item ?formatterURL WHERE {
  ?item wdt:P1630 ?formatterURL .
  FILTER ( CONTAINS( LCASE( STR( ?formatterURL ) ) , "web.archive.org" ) )
}

Got 243 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                                      | formatterURL                                                        |
| --------------------------------------------------------- | ------------------------------------------------------------------- |
| Indonesian parliament candidate ID 2019 (wd:P10043)       | https://web.archive.org/web/http...id/pileg2019/pencalonan/calon/$1 |
| Music of Armenia ID (wd:P10116)                           | https://web.archive.org/web/*/http://musicofarmenia.com/$1          |
| Vatican Library ID (former scheme) (wd:P1017)             | https://web.archive.org/web/*/https://viaf.org/processed/BAV|$1     |
| USgamer ID (wd:P10348)                                    | https://web.archive.org/web/2/https://www.usgamer.net/games/$1      |
| dailytelefrag.ru ID (wd:P10379)                           | https://web.archive.org/web/2/ht...lefrag.ru/project/info.php?id=$1 |
| ...                                                       | ...                                                                 |
| Israel Olympic Committee athlete ID (archived) (wd:P9669) | https://web.archive.org/web/2023...www.olympicsil.co.il/ספורטאים/$1 |
| Steam Greenlight game ID (wd:P9744)                       | https://web.archive.org/web/0/ht...m/sharedfiles/filedetails/?id=$1 |
| TeamNL athlete ID number (archived) (wd:P9822)            | https://web.archive.org/web/1/https://teamnl.org/sporters/$1-       |
| wd:Q14937493                                              | https://web.archive.org/web/2008...llifreyone.com/episode.php?id=$1 |
| wd:Q22849881                                              | http://web.archive.org/web/20080...allifreyone.com/review.php?id=$1 |

The items that have a formatter URL including "web.archive.org" are those with the property wd:P1630 where the URL contains the string "web.archive.org". The query returns such items and their formatter URLs.

[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 items have a formatter URL that includes "web.archive.org"?

[Assistant]
To answer this question, I need to find items that have a formatter URL property with a value that includes the string "web.archive.org".

Step 1: Identify the property for "formatter URL" in Wikidata.
I will search for properties related to "formatter URL".

[Tool]
Top 10 property alternatives:
1. formatter URL, also known as URL formatter, URL template, URL pattern, URL format string (wd:P1630 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): web page URL; URI template from which "$1" can be automatically ...e formatter URL changes, add a new statement with preferred rank, URL
2. API formatter URL, also known as formatter URL for API (wd:P12605 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): URI template from which "$1" can automatically be replaced with ...y value on items; for API access and other machine-readable data, formatter URL
3. third-party formatter URL, also known as 3rd party formatter URL, 3rd-party formatter URL, formatter URL for third-party site, third party formatter URL (wd:P3303 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): URI template from which "$1" can be automatically replaced with ... other than the primary issuing body of the identifier concerned, formatter URL
4. search formatter URL, also known as search formatter URI, search pattern, search URI, search URL (wd:P4354 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): web page search URL; URI template from which "$1" can be automat...with the string to be searched for. $1 can be whatever you want., formatter URL
5. mobile formatter URL (wd:P7250 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): web page URL of mobile version; URI template from which "$1" can...utomatically replaced with the effective property value on items, formatter URL
6. shortened URL formatter, also known as shortened formatter URL, URL shortener formatter, URL shortener, short URL formatter, short URL (wd:P11136 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): URI template from which "$1" can be automatically replaced with the ID of a URL shortened by the service, formatter URL
7. embed URL template, also known as URL template for embed, formatter URL for embed, embed URL pattern, embed URL formatter (wd:P2720 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): formatter URL for embeddable content: URI template from which "$...utomatically replaced with the effective property value on items, formatter URL
8. formatter URI for RDF resource, also known as RDF URL pattern, URL template for RDF resource, URI used in RDF, URI pattern for RDF resource, RDF URI template (wd:P1921 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): formatter URL for RDF resource: URI template from which "$1" can...URI of the resources, not the URI of the RDF file describing it), formatter URL
9. formatter URL for IIIF manifest (wd:P12463 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): URL to generate IIIF manifest from specific ID, formatter URL
10. general property-based URL formatter (wd:P8183 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): formatter URL to look up information about a class of items in a...3} for issue. Special value {page} for the first value of {P304}

[Assistant] The property "formatter URL" corresponds to wd:P1630 in Wikidata. Now I will query for items that have a formatter URL (wdt:P1630) containing the string "web.archive.org".

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                                    | formatterURL                                                        |
| ------------------------------------------------------- | ------------------------------------------------------------------- |
| Indonesian parliament candidate ID 2019 (wd:P10043)     | https://web.archive.org/web/http...id/pileg2019/pencalonan/calon/$1 |
| Music of Armenia ID (wd:P10116)                         | https://web.archive.org/web/*/http://musicofarmenia.com/$1          |
| Vatican Library ID (former scheme) (wd:P1017)           | https://web.archive.org/web/*/https://viaf.org/processed/BAV|$1     |
| USgamer ID (wd:P10348)                                  | https://web.archive.org/web/2/https://www.usgamer.net/games/$1      |
| dailytelefrag.ru ID (wd:P10379)                         | https://web.archive.org/web/2/ht...lefrag.ru/project/info.php?id=$1 |
| ...                                                     | ...                                                                 |
| Rallye-info.com driver or co-driver ID (wd:P3930)       | https://web.archive.org/web/2020....com/driverprofile.asp?driver=$1 |
| ALPG Tour golf player ID (archived) (wd:P3953)          | https://web.archive.org/web/*/http://alpg.com.au/player.php?id=$1   |
| Senate of the Kingdom of Italy ID (obsolete) (wd:P3954) | https://web.archive.org/web/*/ht...ba38662bfb3b8c125785e003c4334/$1 |
| France EspritBleu athlete ID (archived) (wd:P4050)      | https://web.archive.org/web/2022...e.com/espritbleu/athletes/$1.php |
| Team USA athlete former ID (archived) (wd:P4063)        | https://web.archive.org/web/2022...ps://www.teamusa.org/athletes/$1 |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves items with a formatter URL (property wd:P1630) that includes the string "web.archive.org". It uses the CONTAINS function with LCASE and STR to ensure case-insensitive matching of the substring within the URL. The query returns both the item and the formatter URL, which is appropriate for the user's question. The execution result shows relevant items and URLs containing "web.archive.org". The query follows the rules by returning actual item IRIs and the formatter URLs without additional non-standard service calls. Overall, the output is correct and complete.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?work ?workLabel ?publicationYear ?isbn10 ?pages ?url WHERE {
  wd:Q96024609 wdt:P527 ?work .
  OPTIONAL {
    ?work rdfs:label ?workLabel FILTER ( LANG( ?workLabel ) = "de" || LANG( ?workLabel ) = "en" )
  }
  OPTIONAL {
    ?work wdt:P577 ?publicationDate .
    BIND( YEAR( ?publicationDate ) AS ?publicationYear )
  }
  OPTIONAL {
    ?work wdt:P957 ?isbn10
  }
  OPTIONAL {
    ?work wdt:P1104 ?pages
  }
  OPTIONAL {
    ?work wdt:P856 ?url
  }
}
ORDER BY ?publicationYear

SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

The following SPARQL query retrieves the distinct works that are part of the series "Dictionnaire critique du marxisme [Critical of Marxism] (German)" (wd:Q96024609) along with their titles, publication years, ISBN-10 numbers, number of pages, and URLs if available. The results are ordered by publication year.

You can run this query on a SPARQL endpoint with sufficient timeout settings to get the detailed information:

SELECT ?work ?workLabel ?publicationYear ?isbn10 ?pages ?url WHERE {
  wd:Q96024609 wdt:P527 ?work.
  OPTIONAL { ?work rdfs:label ?workLabel FILTER (LANG(?workLabel) = "de" || LANG(?workLabel) = "en") }
  OPTIONAL { ?work wdt:P577 ?publicationDate . BIND(YEAR(?publicationDate) AS ?publicationYear) }
  OPTIONAL { ?work wdt:P957 ?isbn10 }
  OPTIONAL { ?work wdt:P1104 ?pages }
  OPTIONAL { ?work wdt:P856 ?url }
} ORDER BY ?publicationYear

[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 distinct works are part of the series "Dictionnaire critique du marxisme [Critical of Marxism] (German)"? For each work, include title, publication year, ISBN-10 number, number of page, URL (all if available).

[Assistant]
To answer the question, I need to identify the series "Dictionnaire critique du marxisme [Critical of Marxism] (German)" in Wikidata. Then, I will find the distinct works that are part of this series. For each work, I will retrieve the title, publication year, ISBN-10 number, number of pages, and URL if available.

Step 1: Search for the series entity in Wikidata using the series name.

[Tool]
Top 10 entity alternatives:
1. Dictionnaire critique du marxisme [Critical of Marxism] (arabic), also known as Dictionnaire critique du marxisme (arabic, 2003) (wd:Q96024938): Arabic translation of a French dictionary regarding Marxist terminology
2. Dictionnaire critique du marxism...l of Marxism] (3nd, ed., French), also known as Dictionnaire critique du marxisme (French, 1999) (wd:Q96023957): Third French edition (presumably largely with the same content as the second edition)
3. Dictionnaire critique du marxism...ism] (2nd, enlarged ed., French), also known as Dictionnaire critique du marxisme (French, 1985) (wd:Q96018295): Second French edition
4. Dictionnaire critique du marxism...al of Marxism] (1st ed., French), also known as Dictionnaire critique du marxisme (French, 1982) (wd:Q96016510): First French edition
5. Dictionnaire critique du marxisme [Critical of Marxism] (German), also known as Dictionnaire critique du marxisme (German, 1983-89), KWM (wd:Q96024609): German translation of a French dictionary regarding Marxist terminology
6. Dictionnaire critique du marxism...rxism] (German internet edition), also known as Dictionnaire critique du marxisme (German; internet) (wd:Q96057331)
7. Dictionnaire critique du marxism...ical of Marxism] (German. Vol 6), also known as Dictionnaire critique du marxisme (German. Vol. 6, 1987) (wd:Q96034314)
8. Dictionnaire critique du marxism...rxism] (German. Vol 8; internet), also known as Dictionnaire critique du marxisme (German. Vol. 8; internet) (wd:Q96069743)
9. Dictionnaire critique du marxism...ical of Marxism] (German. Vol 8), also known as Dictionnaire critique du marxisme (German. Vol. 8, 1989) (wd:Q96035325)
10. Dictionnaire critique du marxism...rxism] (German. Vol 7; internet), also known as Dictionnaire critique du marxisme (German. Vol. 7; internet) (wd:Q96069715)

[Assistant] I found the series "Dictionnaire critique du marxisme [Critical of Marxism] (German)" with the entity wd:Q96024609. Now I will find the distinct works that are part of this series. I will look for works that have a property indicating they are part of this series. Then I will retrieve the title, publication year, ISBN-10 number, number of pages, and URL for each work.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant] The query execution timed out, likely due to the complexity or size of the data. I will simplify the query by first retrieving the distinct works that are part of the series "Dictionnaire critique du marxisme [Critical of Marxism] (German)" and their titles only. Then I will gradually add other properties like publication year, ISBN-10, number of pages, and URL in subsequent queries. This stepwise approach will help identify if any specific part causes the timeout.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query to retrieve works part of the series "Dictionnaire critique du marxisme [Critical of Marxism] (German)" also timed out. This suggests that the property P179 (part of series) might not be the correct or the only property to find the works in this series, or the series might not have works directly linked with this property.

I will try to find other properties or ways to identify works related to this series. For example, I will check if the series entity has any statements or linked works. I will list triples with the series entity as subject to explore its properties.

[Tool]
Got 81 rows and 3 columns, showing the first 10 rows below:
| subject                                                                         | property                              | object                                                                             |
| ------------------------------------------------------------------------------- | ------------------------------------- | ---------------------------------------------------------------------------------- |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | instance of (wdt:P31)                 | version, edition or translation (wd:Q3331189)                                      |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | title (wdt:P1476)                     | Kritisches Wörterbuch des Marxismus (de)                                           |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | language of work or name (wdt:P407)   | German (wd:Q188)                                                                   |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | short name (wdt:P1813)                | KWM (de)                                                                           |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | number of pages (wdt:P1104)           | 1538 (xsd:decimal)                                                                 |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | has part(s) (wdt:P527)                | Dictionnaire critique du marxism...ical of Marxism] (German. Vol 1) (wd:Q96026743) |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | place of publication (wdt:P291)       | Berlin (wd:Q64)                                                                    |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | publisher (wdt:P123)                  | Argument Verlag (wd:Q651401)                                                       |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | edition or translation of (wdt:P629)  | Dictionnaire critique du marxism...ritical of Marxism] (work level) (wd:Q692948)   |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | has edition or translation (wdt:P747) | Dictionnaire critique du marxism...rxism] (German internet edition) (wd:Q96057331) |
| ...                                                                             | ...                                   | ...                                                                                |

[Assistant]
The series entity wd:Q96024609 has the property "has part(s)" (wdt:P527) linking to other entities that seem to be volumes or parts of the series, e.g., wd:Q96026743 (German. Vol 1). This suggests that the works that are part of the series are linked via the "has part(s)" property.

I will now query for the distinct works that are linked as parts of this series using the "has part(s)" property. For each work, I will retrieve the title, publication year, ISBN-10 number, number of pages, and URL if available.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant] The query to retrieve parts of the series with all requested properties timed out again. I will simplify the query by first retrieving only the parts of the series and their titles. Then I will add other properties stepwise.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant] The query to retrieve the parts of the series also timed out. This might be due to the number of parts or the complexity of the data. I will try to retrieve only a limited number of parts (e.g., 10) with their titles to see if a smaller result set can be retrieved.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
Even with a limit of 10, the query to retrieve parts of the series times out. This suggests that the property "has part(s)" (wdt:P527) might be linking to entities with complex or large data causing the timeout.

I will try an alternative approach: I will search for works that have the series entity wd:Q96024609 as their "part of series" (wdt:P179) property, but limit the number of results to 10 to avoid timeout. Then I will retrieve their titles. This approach is the inverse direction of the previous one.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query to find works with the series as "part of series" also times out even with a limit of 10. This suggests that the data related to this series might be very large or complex, causing timeouts.

I will try to find the parts of the series by listing the objects of the property "has part(s)" (wdt:P527) for the series entity wd:Q96024609 without any other constraints or limits, to see if I can get a smaller subset or any indication of the parts.

[Tool]
Got 8 rows and 3 columns:
| subject                                                                         | property               | object                                                                             |
| ------------------------------------------------------------------------------- | ---------------------- | ---------------------------------------------------------------------------------- |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | has part(s) (wdt:P527) | Dictionnaire critique du marxism...ical of Marxism] (German. Vol 1) (wd:Q96026743) |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | has part(s) (wdt:P527) | Dictionnaire critique du marxism...ical of Marxism] (German. Vol 2) (wd:Q96031980) |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | has part(s) (wdt:P527) | Dictionnaire critique du marxism...ical of Marxism] (German. Vol 3) (wd:Q96032581) |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | has part(s) (wdt:P527) | Dictionnaire critique du marxism...ical of Marxism] (German. Vol 4) (wd:Q96033164) |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | has part(s) (wdt:P527) | Dictionnaire critique du marxism...ical of Marxism] (German. Vol 5) (wd:Q96033337) |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | has part(s) (wdt:P527) | Dictionnaire critique du marxism...ical of Marxism] (German. Vol 6) (wd:Q96034314) |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | has part(s) (wdt:P527) | Dictionnaire critique du marxism...ical of Marxism] (German. Vol 7) (wd:Q96035295) |
| Dictionnaire critique du marxisme [Critical of Marxism] (German) (wd:Q96024609) | has part(s) (wdt:P527) | Dictionnaire critique du marxism...ical of Marxism] (German. Vol 8) (wd:Q96035325) |

[Assistant]
The series "Dictionnaire critique du marxisme [Critical of Marxism] (German)" (wd:Q96024609) has 8 parts (volumes) linked via the property "has part(s)" (wdt:P527). The parts are volumes 1 to 8 with the following entities: wd:Q96026743, wd:Q96031980, wd:Q96032581, wd:Q96033164, wd:Q96033337, wd:Q96034314, wd:Q96035295, wd:Q96035325.

I will now query for the title, publication year, ISBN-10 number, number of pages, and URL for each of these volumes.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query to retrieve details for the 8 volumes timed out again. I will try to retrieve the details for each volume one by one to avoid timeout and then combine the results.

I will start with the first volume wd:Q96026743 and retrieve its title, publication year, ISBN-10 number, number of pages, and URL.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query to retrieve details for the first volume also timed out. This suggests that even querying a single volume with all these optional properties is causing timeout.

I will try to retrieve only the title and publication year for the first volume to see if a simpler query works.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query to retrieve even just the title and publication year for the first volume timed out. This indicates that the endpoint might be experiencing issues or the data for this entity is very complex.

As an alternative, I will try to retrieve the label (title) only for the first volume without any other optional properties.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query to retrieve the label for the first volume also timed out. This suggests a persistent issue with querying this specific data or the endpoint.

Given the repeated timeouts, I am unable to retrieve the detailed information for the works that are part of the series "Dictionnaire critique du marxisme [Critical of Marxism] (German)" at this time.

I will provide a summary of what I found and explain the issue.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The system correctly identified the series and its parts but failed to retrieve the requested details due to timeouts. The query should be optimized to avoid timeouts, for example by querying fewer properties at once or using more efficient patterns. Also, the system should provide a SPARQL query that attempts to retrieve the requested information with appropriate OPTIONAL clauses for missing data, and limit the number of results if necessary. The failure to provide any SPARQL query is a missed opportunity to attempt a partial answer or debug the issue. I recommend retrying with a more efficient SPARQL query that retrieves the distinct works in the series along with their titles, publication years, ISBN-10 numbers, number of pages, and URLs if available, using OPTIONAL clauses and limiting results to avoid timeouts.

[Assistant]
Thank you for the feedback. I will now construct a more efficient SPARQL query that retrieves the distinct works (volumes) in the series "Dictionnaire critique du marxisme [Critical of Marxism] (German)" (wd:Q96024609) along with their titles, publication years, ISBN-10 numbers, number of pages, and URLs if available. I will use OPTIONAL clauses for all properties and limit the results to avoid timeouts. I will also order by publication year.

I will limit the results to 8 since we know there are 8 parts. This query will attempt to retrieve all requested information in a single efficient query.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The system's SPARQL query is well-constructed and logically addresses the user's question by retrieving works that are part of the series with relevant details. However, the query execution failed due to a timeout error, so no answer was actually retrieved. The system should retry the query execution, possibly without the LIMIT 8 to ensure completeness or with a longer timeout if possible. Also, it should verify that the endpoint is responsive. Once the query executes successfully, the system can provide a complete answer with the requested details.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query to retrieve the works and their details from the series "Dictionnaire critique du marxisme [Critical of Marxism] (German)" timed out again. Given the persistent timeout issues, I will now try to retrieve the requested information in smaller steps by querying each property separately for the parts of the series. This approach may reduce the complexity of each query and avoid timeouts.

First, I will retrieve the distinct works that are part of the series with their titles only. Then I will query other properties like publication year, ISBN-10, number of pages, and URL in separate queries if needed.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query to retrieve the titles of the works in the series also timed out. Given the persistent timeout issues with this series and its parts, it seems the endpoint or data complexity is causing the problem.

As an alternative, I will provide a SPARQL query that the user can run on a different endpoint or with a longer timeout setting. This query retrieves the distinct works in the series "Dictionnaire critique du marxisme [Critical of Marxism] (German)" (wd:Q96024609) along with their titles, publication years, ISBN-10 numbers, number of pages, and URLs if available. It uses OPTIONAL clauses for missing data and orders results by publication year.

Here is the SPARQL query:

```
SELECT ?work ?workLabel ?publicationYear ?isbn10 ?pages ?url WHERE {
  wd:Q96024609 wdt:P527 ?work.
  OPTIONAL { ?work rdfs:label ?workLabel FILTER (LANG(?workLabel) = "de" || LANG(?workLabel) = "en") }
  OPTIONAL { ?work wdt:P577 ?publicationDate . BIND(YEAR(?publicationDate) AS ?publicationYear) }
  OPTIONAL { ?work wdt:P957 ?isbn10 }
  OPTIONAL { ?work wdt:P1104 ?pages }
  OPTIONAL { ?work wdt:P856 ?url }
} ORDER BY ?publicationYear
```

This query should provide the requested information if executed successfully.

[Tool] Stopped generation process


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT DISTINCT ?item ?subjectNamedAs ?sharedIdentifier WHERE {
  ?item p:P227 ?statement .
  ?statement pq:P1810 ?subjectNamedAs .
  ?statement pq:P4070 ?sharedIdentifier .
}
LIMIT 20

Got 20 rows and 3 columns, showing the first 5 and last 5 rows below:
| item                                    | subjectNamedAs       | sharedIdentifier                             |
| --------------------------------------- | -------------------- | -------------------------------------------- |
| bulla (wd:Q1004230)                     | Bulle <Urkunde>      | papal bull (wd:Q189867)                      |
| Butterbrot (wd:Q1018075)                | Belegtes Brot        | wd:Q111907435                                |
| special education teacher (wd:Q1030095) | Sonderpädagoge       | remedial teacher (wd:Q16062258)              |
| special education teacher (wd:Q1030095) | Sonderpädagogin      | remedial teacher (wd:Q16062258)              |
| ceramics industry (wd:Q10302047)        | keramische Industrie | porcelain and ceramic industry (wd:Q1903919) |
| ...                                     | ...                  | ...                                          |
| ruler (wd:Q1097498)                     | Herrscher            | monarch (wd:Q116)                            |
| water art (wd:Q110622420)               | Wasserkunst          | water feature (wd:Q2736507)                  |
| motion picture film (wd:Q110968856)     | Film <Material>      | photographic film (wd:Q6293)                 |
| wd:Q111907435                           | Belegtes Brot        | Butterbrot (wd:Q1018075)                     |
| wd:Q112075216                           | Rundling             | Rundling (wd:Q159350)                        |

There are items with GND ID statements that include both a subject named as qualifier and an identifier shared with qualifier. The query returns the items, their subject names, and the shared identifiers. For example, the item 'special education teacher' has subject names 'Sonderpädagoge' and 'Sonderpädagogin' and a shared identifier 'remedial teacher.' Another example is 'Butterbrot' with subject name 'Belegtes Brot' and a shared identifier 'wd:Q111907435.' The query returns up to 20 such items.

[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 items with GND IDs, along with their subject names, and shared identifiers, where the GND ID statement includes both a subject named as qualifier and an identifier shared with qualifier?

[Assistant]
The user question asks for items that have GND IDs, and for those GND ID statements, the statement should include both a subject named as a qualifier and an identifier shared with as a qualifier. We want to retrieve these items, their subject names, and the shared identifiers.

Step 1: Identify the entity for GND ID.
GND ID is a common identifier property in Wikidata. Let's search for "GND ID" as a property.

I will search for the property "GND ID" in Wikidata.

[Tool]
Top 10 property alternatives:
1. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier from an international authority file of names, subjects, and organizations
2. The Living New Deal ID, also known as Living New Deal ID, Living New Deal site ID, LND ID (wd:P8567 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a site on the Living New Deal website
3. DDB person (GND) ID, also known as DDB ID, DDB person ID (wd:P13049 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a person in the Deutsche Digitale Bibliothek (DDB); identifier same as the person's GND ID, GND ID
4. Global Terrorism Database ID, also known as GTD ID (wd:P4089 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier in the Global Terrorism Database by the National Cons...um for the Study of Terrorism and Responses to Terrorism (START)
5. Geographical Names Board of NSW ID, also known as Geographical Name Register of New South Wales, NSW GNR, GNR of NSW, GNB NSW ID, Geographical Names Board of New South Wales ID (wd:P3517 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): historical identifier of a geographical feature on a retired Geographical Names Board of New South Wales website
6. Store norske leksikon (Great Norwegian Encyclopedia) ID, also known as GNE ID, Snl ID, SNL ID, Store norske leksikon ID (wd:P4342 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier of an article in the online encyclopedia snl.no
7. Arabic Literary Terms and Devices ID, also known as ADLTD ID, Literary Terms and Devices Dictionary (Arabic) ID, DALTD ID, Dictionary of Arabic Literary Terms and Devices ID (wd:P12658 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a subject page in the Dictionary of Arabic Literary Terms and Devices
8. Green's Dictionary of Slang ID, also known as GDoS ID, Green Dictionary of Slang ID, Green Slang Dictionary ID, Green's Slang Dictionary ID (wd:P11481 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for an entry in the online edition of Green's English slang dictionary
9. Game World Navigator ID, also known as GWN ID, Navigator igrovogo mira ID, NIM ID, nim.ru ID (wd:P10383 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier of a video game on the Game World Navigator website
10. GARD rare disease ID, also known as GARD ID, Genetic and Rare Diseases Information Center ID (wd:P4317 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a rare disease in the United States National Inst...h's Genetic and Rare Diseases (GARD) Information Center database

[Assistant]
The property for GND ID is wd:P227.

Step 2: We want to find items with statements using this property (wdt:P227 or ps:P227 for statements). The statement should have qualifiers: one qualifier is a subject named as a qualifier, and another qualifier is an identifier shared with.

Step 3: We need to identify the properties for the qualifiers "subject named as" and "identifier shared with."

I will search for properties related to "subject named as" and "identifier shared with" to find their property IDs. Let's start with "subject named as."

[Tool]
Top 10 property alternatives:
1. subject named as, also known as established as, established form, established heading, named as, spelled as (wd:P1810 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): name by which a subject is recorded in a database, mentioned as a contributor of a work, or is referred to in a particular context, name
2. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): primary topic of a work (see also P180: depicts), depicts
3. academic major, also known as academic subject, college major, field of study, major, studied (wd:P812 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): major someone studied at college/university
4. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)
5. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): specialization of a person or organization; see P106 for the occupation, interested in
6. statement is subject of, also known as statement is the subject of, subject of the statement, subject of the claim, subject of, related item of statement (wd:P805 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): (qualifying) item that describes the relation identified in this statement
7. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): topic of which this item is an aspect; item that offers a broader perspective on the same topic
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/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): work where this item is described, attested in
9. applies to name of subject, also known as applies to subject's name, for the name, involved name, limited to the name, valid for the name (wd:P5168 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): (qualifier) label or alias name to which the claim applies (subj...er to name of the value, use "applies to name of object" (P8338), subject named as
10. Wikidata item of this property, also known as associated item, Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property (wd:P1629 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): item corresponding to the concept represented by the property

[Assistant]
The property "subject named as" corresponds to wd:P1810.

Now I will search for the property "identifier shared with."

[Tool]
Top 10 property alternatives:
1. identifier shared with, also known as shares identifier with, shares ID with, shared with, shared ID, ID shared with (wd:P4070 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier, to be used on external identifier IDs, indicating another Wikidata item is also matched to this ID, together with
2. identifies, also known as uniquely determines, is unique key for, is primary key for, is identifier of, identifier of (wd:P10476 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): this item uniquely and purposefully distinguishes instances of this class from each other
3. issued by, also known as issuing body, issuing agent, issuer, identifier issuing body, identifier issued by (wd:P2378 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): organisation or other agent that issues or allocates an identifier, code, classification number, etc.
4. number of records, also known as entries, rows, records, quantitiy of records, number of rows (wd:P4876 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of values of an identifier or records in a catalog
5. inventory number, also known as control number, shelfmark, reference number, reference, object number (wd:P217 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a physical object or a set of physical objects in a collection
6. identified in image by, also known as depicted with identifier, legend for number, lettered as, letter in image, marked as (wd:P7380 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier for the identification of a value/object with a number, letter or sign inscribed in the image
7. MAC Address Block Large ID, also known as OUI, Organizationally Unique Identifier, MA-L ID, MA-L, MAC Address Block Large ID (wd:P4776 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): unique identifier of an organisation registered with the IEEE
8. Svensk ordbok ID, also known as SO ID, SO identifier, Svensk ordbok identifier (wd:P9837 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): unique identifier of a page/entry in Svensk ordbok published by the Swedish Academy (SO)
9. ITU/ISO/IEC object ID, also known as ISO object identifier, urn:oid:, OID, object identifier, ITU OID (wd:P3743 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): unique global identifier standardized by the ITU and ISO/IEC for naming any object, concept, or thing
10. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.

[Assistant]
The property "identifier shared with" corresponds to wd:P4070.

Step 4: Now we want to find items with statements for property wd:P227 (GND ID) that have qualifiers wd:P1810 (subject named as) and wd:P4070 (identifier shared with).

Step 5: We want to retrieve the items, the subject names (values of qualifier wd:P1810), and the shared identifiers (values of qualifier wd:P4070).

I will now construct a SPARQL query to get these items with their GND ID statements that have both qualifiers and return the item, subject name, and shared identifier.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query execution timed out, likely due to the complexity or size of the data. I will try to simplify the query by removing the optional labels and limiting the results to fewer entries to reduce the load.

I will retry the query without labels and with a smaller limit.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query still times out even with a smaller limit and without labels. This suggests the query might be too complex or the dataset is large for this pattern.

I will try to further simplify the query by removing the ps:P227 triple pattern and just check for statements with qualifiers pq:P1810 and pq:P4070 on property P227. This might reduce complexity.

I will try this simpler query.

[Tool]
Got 20 rows and 3 columns, showing the first 5 and last 5 rows below:
| item                                    | subjectNamedAs       | sharedIdentifier                             |
| --------------------------------------- | -------------------- | -------------------------------------------- |
| bulla (wd:Q1004230)                     | Bulle <Urkunde>      | papal bull (wd:Q189867)                      |
| Butterbrot (wd:Q1018075)                | Belegtes Brot        | wd:Q111907435                                |
| special education teacher (wd:Q1030095) | Sonderpädagoge       | remedial teacher (wd:Q16062258)              |
| special education teacher (wd:Q1030095) | Sonderpädagogin      | remedial teacher (wd:Q16062258)              |
| ceramics industry (wd:Q10302047)        | keramische Industrie | porcelain and ceramic industry (wd:Q1903919) |
| ...                                     | ...                  | ...                                          |
| ruler (wd:Q1097498)                     | Herrscher            | monarch (wd:Q116)                            |
| water art (wd:Q110622420)               | Wasserkunst          | water feature (wd:Q2736507)                  |
| motion picture film (wd:Q110968856)     | Film <Material>      | photographic film (wd:Q6293)                 |
| wd:Q111907435                           | Belegtes Brot        | Butterbrot (wd:Q1018075)                     |
| wd:Q112075216                           | Rundling             | Rundling (wd:Q159350)                        |

[Assistant]
I have found 20 items with GND ID statements that include both a "subject named as" qualifier and an "identifier shared with" qualifier. The results include the item, the subject name (subjectNamedAs), and the shared identifier (sharedIdentifier).

I will now provide the final SPARQL query and the answer to the user.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves items with GND ID statements that have both a 'subject named as' qualifier and an 'identifier shared with' qualifier, along with the requested subject names and shared identifiers. The answer provides relevant examples and explains the results clearly. The query respects the requirement to return identifiers and uses appropriate properties. No further refinement is necessary.