PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?port ?employees WHERE {
  ?port wdt:P1128 ?employees .
  FILTER ( ?port = wd:Q1027807 )
}

The Port of Rotterdam employs 385,000 people according to Wikidata.

[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] How many perople do the Port of Rotterdam employ?

[Assistant]
Let's break down the question:

1. The user wants to know how many people are employed by the Port of Rotterdam.
2. We need to identify the correct entity for "Port of Rotterdam" and the relevant property for "number of employees" or "employs".

First, I will search for the entity "Port of Rotterdam" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Port of Rotterdam (wd:Q1027807): largest port in Europe, located in the city of Rotterdam, Netherlands
2. Port of Rotterdam Authority, also known as Directie bedrijfsvoering Havenbedrijf   etc. (wd:Q2187039): manager of Rotterdam's port and industrial area in the Netherlands
3. The Port of Rotterdam (wd:Q59543911): painting by Eugène Boudin
4. Portrait of Erasmus of Rotterdam (wd:Q107122548)
5. Portrait of Erasmus of Rotterdam (wd:Q110572054): painting by Hans Holbein the Younger and workshop (David Owsley Museum)
6. Portrait of Erasmus of Rotterdam (wd:Q116966868): painting by Workshop Lucas Cranach the Elder (Landesmuseum für Kunst und Kulturgeschichte Oldenburg)
7. Portrait of Erasmus of Rotterdam (wd:Q116968152): painting by Copy after Lucas Cranach the Elder or Workshop Lucas Cranach the Elder (Sammlung Würth)
8. Portrait of Erasmus of Rotterdam (wd:Q20809158): painting by Hans Holbein the Younger
9. Portrait of Erasmus of Rotterdam (wd:Q110571788): painting by Hans Holbein the Younger and workshop
10. Portrait of Erasmus of Rotterdam writing (wd:Q105684225): painting by Hans Holbein

[Assistant]
There are two relevant entities:
- Port of Rotterdam (wd:Q1027807): the physical port itself.
- Port of Rotterdam Authority (wd:Q2187039): the organization that manages the port.

Since the question is about employment, it is most likely referring to the Port of Rotterdam Authority, as the port itself as a location does not employ people, but the authority does.

Next, I will search for a property related to "number of employees" for organizations.

[Tool]
Top 10 property alternatives:
1. employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): total number of employees of a company at a given "point in time...not deprecated rank). Add data for recent years, don't overwrite
2. employer, also known as working at, working for, working place, works at, works for (wd:P108 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person or organization for which the subject works or worked, affiliation
3. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person linked to the item in any possible way
4. member count, also known as total members, number of members, count of members, amount of members, membership (wd:P2124 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of entities that are part of an organization at a particular time
5. number of seats, also known as membership quantity, number of seats (members), quantity of members, seats (members) (wd:P1342 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): total number of seats/members in an assembly (legislative house or similar)
6. category for employees of the organization, also known as Academic staff, category for employees of the organisation, Professor (wd:P4195 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): Wikimedia category for people who work or worked at this organization
7. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
8. number of works, also known as works, works posted, work count, posts posted, posts (wd:P3740 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier on identifiers, e.g. for creators or locations, giving... external database associated with the subject of the identifier
9. employment by economic sector, also known as employment by industry, employment by sector (wd:P2297 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): employment divided by sector
10. in work (wd:P2553 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier of award received and nominated for (P1411) to specify...ominated creative work appeared causing the nomination/award win

[Assistant]
The most relevant property is "employees" (wd:P1128), which gives the total number of employees of a company or organization.

Now, I will check if the Port of Rotterdam Authority (wd:Q2187039) has a value for this property.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there is no direct value for the number of employees (wd:P1128) for the Port of Rotterdam Authority (wd:Q2187039) in Wikidata.

To be thorough, I will also check if the main "Port of Rotterdam" entity (wd:Q1027807) has a value for the number of employees property.

[Tool]
Got 1 row and 3 columns:
| subject                         | property              | object               |
| ------------------------------- | --------------------- | -------------------- |
| Port of Rotterdam (wd:Q1027807) | employees (wdt:P1128) | 385000 (xsd:decimal) |

[Tool]
Got 1 row and 2 columns:
| port                            | employees            |
| ------------------------------- | -------------------- |
| Port of Rotterdam (wd:Q1027807) | 385000 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?film ) AS ?count ) WHERE {
  ?film wdt:P136 wd:Q842256 ; wdt:P577 ?date .
  FILTER ( YEAR( ?date ) = 1978 ) FILTER ( ?film != wd:Q267721 )
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 61 (xsd:int) |

There were 61 other musical films released in the same year as Grease (1978).

[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] How many other musical films were launched the same year as Grease?

[Assistant]
Let's break down the question:

1. Identify the entity for "Grease" (the film).
2. Find the release year of "Grease".
3. Identify all other musical films released in the same year.
4. Count the number of these films (excluding "Grease" itself).

First, I'll search for the entity representing "Grease" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Greased Lightning, also known as Greased Lightning (1928 film) (wd:Q63936561): 1928 film directed by Ray Taylor
2. Electron Diffraction by Films of Grease (wd:Q60139589): scientific article published in Nature
3. film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
4. fat, also known as grease, fats and oils, fat or oil, dietary fats, dietary fat (wd:Q127980): esters of three fatty acid chains and the alcohol glycerol, one of the three main macronutrients, also known as triglycerides
5. photographic film, also known as camera film, film, photo film (wd:Q6293): sheet of plastic coated with light-sensitive chemicals
6. Grease (wd:Q267721): 1978 film by Randal Kleiser
7. grease, also known as lubricating grease, grease lubricant (wd:Q629823): semi-solid, oily lubricant
8. film studies, also known as cinema studies, film, movie studies (wd:Q1660187): academic discipline that deals with various theoretical, historical, and critical approaches to films
9. Grease (wd:Q611626): 1972 musical
10. thin film, also known as film, films, nanofilm, pellicle, thin layer (wd:Q1137203): a layer of material ranging from fractions of a nanometer to several micrometers in thickness

[Assistant]
The correct entity for "Grease" (the 1978 film) is wd:Q267721.

Next, I need to find the release year of "Grease". I'll look for properties related to "publication date" or "release date" for this entity.

[Tool]
Top 10 property alternatives:
1. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as p/wdt): date or point in time when a work was first published or released, point in time
2. soundtrack release, also known as soundtrack single, soundtrack extended play, soundtrack album, has soundtrack album, OST (wd:P406 as p/wdt): music release that incorporates music directly recorded from the soundtrack of an audiovisual work
3. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
4. box office, also known as earnings (wd:P2142 as p/wdt): box office takings accumulated by a film, total revenue
5. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
6. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
7. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
8. set in period, also known as time period set in, time period of setting, time period, takes place in time, takes place during (wd:P2408 as p/wdt): historical, contemporary, or future period, year, century or day...rk or genre is set in or event featured in the story of the work
9. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as p/wdt): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]
10. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as p/wdt): length of time of an event or process

No other items found

[Tool]
Got 2 rows and 3 columns:
| subject             | property                    | object                              |
| ------------------- | --------------------------- | ----------------------------------- |
| Grease (wd:Q267721) | publication date (wdt:P577) | 1978-06-13T00:00:00Z (xsd:dateTime) |
| Grease (wd:Q267721) | publication date (wdt:P577) | 1978-09-28T00:00:00Z (xsd:dateTime) |

[Assistant]
"Grease" was released in 1978 (with two specific dates, but the year is 1978).

Next, I need to find all other musical films released in 1978. To do this, I need:
- The property for "genre" (likely wdt:P136)
- The entity for "musical film"
- The property for "publication date" (wdt:P577)

I'll search for the entity representing "musical film".

[Tool]
Top 10 entity alternatives:
1. musical film, also known as film musical, musical movie (wd:Q842256): film genre
2. musical film (wd:L428534-S1)
3. Musical Films (wd:Q121091316): production company
4. Theorising the film musical (wd:Q57622181): doctoral thesis
5. College Course Film: THE HOLLYWOOD MUSICAL (wd:Q108309950): journal article from 'Journal of the University Film and Video Association' published in 1983
6. The Beatles. Una filmografía musical (wd:Q125618465): 1995 edition of written work by Magí Crusells
7. The Beatles. Una filmografía musical (wd:Q125618437): written work by Magí Crusells
8. High School Musical: El Desafio (Mexican film), also known as High School Musical: el desafío (wd:Q2636649): 2008 film directed by Eduardo Ripari
9. Rock This Town Musical Film Fest Pau (wd:Q125736952)
10. film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock

[Assistant]
The correct entity for "musical film" as a genre is wd:Q842256.

Now, I will construct a query to find all films with genre "musical film" (wd:Q842256) and publication date in 1978, excluding "Grease" (wd:Q267721), and count them.

Here's my plan:
- ?film wdt:P136 wd:Q842256 (genre: musical film)
- ?film wdt:P577 ?date (publication date)
- FILTER(YEAR(?date) = 1978)
- FILTER(?film != wd:Q267721)
- COUNT the results

Now, I'll write and execute the SPARQL query.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 61 (xsd:int) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q510 wdt:P2044 ?trenchDepth .
  wd:Q513 wdt:P2044 ?everestHeight .
  FILTER ( ABS( ?trenchDepth ) > ?everestHeight )
}

Yes, the Mariana Trench is deeper than Mount Everest is high above sea level.

[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] Is the Mariana Trench deeper than Mount Everest is high (above sea level)?

[Assistant]
Let's break down the question:

1. We need to find the depth of the Mariana Trench.
2. We need to find the height of Mount Everest above sea level.
3. We need to compare these two values: Is the depth of the Mariana Trench greater than the height of Mount Everest?

First, I will search for the entities "Mariana Trench" and "Mount Everest" in Wikidata to get their identifiers.

[Tool]
Top 10 entity alternatives:
1. Mariana Trench (wd:Q510): deepest oceanic trench on Earth
2. Marianas Trench (wd:Q3291259): Canadian pop rock band
3. "Mariana Trench" T-waves (wd:Q87292168): scientific article published on 01 April 2015
4. Marianas Trench Marine National Monument (wd:Q6612760): US national monument in the Mariana Archipelago
5. Document Recovered From The Marianas Trench (wd:Q60032271): a tale from the SCP web-based collaborative writing project
6. Obligately barophilic bacterium from the Mariana trench (wd:Q35470633): scientific article
7. Self-powered soft robot in the Mariana Trench (wd:Q118298491)
8. So, How Deep Is the Mariana Trench? (wd:Q63230174)
9. oceanic trench, also known as deep sea trench, trench, submarine trench (wd:Q119253): depressions of the sea floor
10. Silybum marianum, also known as milkthistle, variegated thistle, St. Mary's thistle, Scotch thistle, Saint Mary's thistle (wd:Q193798): species of plant of genus Silybum in family Asteraceae

[Tool]
Top 10 entity alternatives:
1. Mount Everest, also known as Chomolungma, Chomolangma, Zhumulangma, World highest peak, Sagarmāthā (wd:Q513): Earth's highest mountain above sea level, located in the Mahalangur Himal sub-range of the Himalayas
2. The Climbers, also known as Chomolungma, Mount Everest, Qomolangma (wd:Q61882061): 2019 film directed by Daniel Lee
3. Mount Everest (wd:Q19977041): band
4. Mount Everest, also known as IMO 9470985 (wd:Q84260471): ship built in 2010
5. Mount Everest, also known as Mount Everest, Australia (wd:Q21939846): mountain in New South Wales, Australia
6. Mount Everest, also known as Mount Everest, South Africa (wd:Q31505139): mountain in the Free State Province, South Africa
7. Mount Everest (wd:Q119187184): painting by G. Hemwell, Hampshire Cultural Trust Headquarters, Winchester (Hampshire County Council’s Fine Art Collection)
8. Mount Everest (wd:Q59014625): article published May 1955
9. Mount Everest (wd:Q60102972): article published March 1921
10. Mount Everest (wd:Q60106019): article published November 1921

[Tool]
Top 10 property alternatives:
1. lowest point, also known as extreme point deepest, extreme point lowest, deepest point (wd:P1589 as p/wdt): point with lowest elevation in a region or path
2. bathymetry image, also known as file bathymetry, bathymetric map, bathymetric chart (wd:P207 as p/wdt): image showing bathymetric chart, bathymetric map
3. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as p/wdt): height of the item (geographical object) as measured relative to sea level
4. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as p/wdt): body of water on or next to which a place is located, location
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
8. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdtn/p/wdt): identifier from an international authority file of names, subjects, and organizations

No other items found

[Tool]
Top 10 property alternatives:
1. height, also known as heighth, size, depth over terrain (wd:P2048 as p): vertical length of an entity, length
2. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as p/wdt): height of the item (geographical object) as measured relative to sea level
3. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. size comparison diagram (wd:P8512 as p/wdt): property for the diagram file that compares the item size with the size of another known object
5. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as p/wdt): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. mountain range, also known as system of mountains, hill range, range, parent range, mountain system (wd:P4552 as p/wdt): range or subrange to which the geographical item belongs, geomorphological unit
8. topographic prominence, also known as prominence (wd:P2660 as p/wdt): height of a mountain or hill relative to the lowest contour line encircling it (on Earth, maximum 8,848 m), height
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

No other items found

[Tool]
Got 475 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                                    | object                                                                    |
| ------------------------ | ----------------------------------------------------------- | ------------------------------------------------------------------------- |
| Mariana Trench (wd:Q510) | instance of (wdt:P31)                                       | oceanic trench (wd:Q119253)                                               |
| Mariana Trench (wd:Q510) | country (wdt:P17)                                           | United States (wd:Q30)                                                    |
| Mariana Trench (wd:Q510) | located in the administrative territorial entity (wdt:P131) | Northern Mariana Islands (wd:Q16644)                                      |
| Mariana Trench (wd:Q510) | coordinate location (wdt:P625)                              | POINT(142.200000 11.350000) (geo:wktLiteral)                              |
| Mariana Trench (wd:Q510) | Commons category (wdt:P373)                                 | Mariana Trench                                                            |
| Mariana Trench (wd:Q510) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Marianatrenchmap.png> |
| Mariana Trench (wd:Q510) | described by source (wdt:P1343)                             | Armenian Soviet Encyclopedia (wd:Q2657718)                                |
| Mariana Trench (wd:Q510) | elevation above sea level (wdt:P2044)                       | -10994 (xsd:decimal)                                                      |
| Mariana Trench (wd:Q510) | on focus list of Wikimedia project (wdt:P5008)              | wd:Q6173448                                                               |
| Mariana Trench (wd:Q510) | native label (wdt:P1705)                                    | Mariana Trench (en)                                                       |
| ...                      | ...                                                         | ...                                                                       |

[Tool]
Got 1,397 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                                    | object                                                                                |
| ----------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------- |
| Mount Everest (wd:Q513) | instance of (wdt:P31)                                       | mountain (wd:Q8502)                                                                                |
| Mount Everest (wd:Q513) | country (wdt:P17)                                           | People's Republic of China (wd:Q148)                                                                                |
| Mount Everest (wd:Q513) | located in the administrative territorial entity (wdt:P131) | Tibet Autonomous Region (wd:Q17269)                                                                                |
| Mount Everest (wd:Q513) | coordinate location (wdt:P625)                              | POINT(86.925000 27.988056) (geo:wktLiteral)                                                                         |
| Mount Everest (wd:Q513) | Commons category (wdt:P373)                                 | Mount Everest                                                                                |
| Mount Everest (wd:Q513) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Mount%20Everest%20as%20seen%20from%20Drukair2%20PLW%20edit.jpg> |
| Mount Everest (wd:Q513) | part of (wdt:P361)                                          | Himalayas (wd:Q5451)                                                                                |
| Mount Everest (wd:Q513) | location (wdt:P276)                                         | Himalayas (wd:Q5451)                                                                                |
| Mount Everest (wd:Q513) | has part(s) (wdt:P527)                                      | Kangshung Face (wd:Q1723748)                                                                                |
| Mount Everest (wd:Q513) | described by source (wdt:P1343)                             | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358)                                                            |
| ...                     | ...                                                         | ...                                                                                |

[Tool]
Got 131,072 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                              | object             |
| ----------------------- | ------------------------------------- | ------------------ |
| Jerusalem (wd:Q1218)    | elevation above sea level (wdt:P2044) | 754 (xsd:decimal)  |
| Prague (wd:Q1085)       | elevation above sea level (wdt:P2044) | 235 (xsd:decimal)  |
| Illinois (wd:Q1204)     | elevation above sea level (wdt:P2044) | 191 (xsd:decimal)  |
| Hamburg (wd:Q1055)      | elevation above sea level (wdt:P2044) | 6 (xsd:decimal)    |
| Mumbai (wd:Q1156)       | elevation above sea level (wdt:P2044) | 14 (xsd:decimal)   |
| Michigan (wd:Q1166)     | elevation above sea level (wdt:P2044) | 275 (xsd:decimal)  |
| Wyoming (wd:Q1214)      | elevation above sea level (wdt:P2044) | 2040 (xsd:decimal) |
| Sarajevo (wd:Q11194)    | elevation above sea level (wdt:P2044) | 527 (xsd:decimal)  |
| Montana (wd:Q1212)      | elevation above sea level (wdt:P2044) | 1035 (xsd:decimal) |
| South Dakota (wd:Q1211) | elevation above sea level (wdt:P2044) | 670 (xsd:decimal)  |
| ...                     | ...                                   | ...                |

[Tool]
Got 1 row and 3 columns:
| subject                 | property                              | object                |
| ----------------------- | ------------------------------------- | --------------------- |
| Mount Everest (wd:Q513) | elevation above sea level (wdt:P2044) | 8848.86 (xsd:decimal) |

[Tool]
Got 1 row and 3 columns:
| subject                  | property                              | object               |
| ------------------------ | ------------------------------------- | -------------------- |
| Mariana Trench (wd:Q510) | elevation above sea level (wdt:P2044) | -10994 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?goal ?goalLabel WHERE {
  wd:Q322170 wdt:P3712 ?goal .
  OPTIONAL {
    ?goal rdfs:label ?goalLabel FILTER ( lang( ?goalLabel ) = "en" )
  }
}

The suffragettes stood for women's suffrage, i.e., advocating for women's right to vote.

[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 did the suffragettes stand for?

[Assistant]
Let's break down the question:

1. The main entity is "suffragettes".
2. The question asks what they "stood for", which means their goals, aims, or what they advocated.

First, I need to identify the Wikidata entity for "suffragettes". Then, I will look for properties related to "aim", "goal", "advocated", or "stood for".

Let's start by searching for the entity "suffragettes".

[Tool]
Top 10 entity alternatives:
1. suffragette, also known as suffragettes (wd:Q322170): member of the Woman's Social and Political Union who advocated for women's right to vote
2. suffragettes (wd:L328761-F2)
3. Coontown Suffragettes (wd:Q20004604): 1914 silent short film
4. Song Suffragettes (wd:Q28401911): All Female Songwriter Round
5. The Suffragettes (wd:Q20477383): painting by Victor Pasmore
6. The Clam-Shell Suffragettes (wd:Q20802220): 1915 short film
7. The medical suffragettes (wd:Q50179887): scientific article
8. A Cure for Suffragettes (wd:Q24238887): 1913 film by Edward Dillon
9. Kate Sheppard National Memorial, also known as Tribute to the Suffragettes (wd:Q23073296): memorial to the women's suffrage campaign, located in Christchurch, New Zealand
10. Historiography of the Suffragettes (wd:Q64876675)

[Assistant]
The most relevant entity is "suffragette" (wd:Q322170), which refers to members of the Woman's Social and Political Union who advocated for women's right to vote.

Next, I need to find properties related to what they "stood for"—such as "goal", "aim", "advocated", "cause", or "purpose". I will search for properties related to "goal" for this entity.

[Tool]
Top 10 property alternatives:
1. has goal, also known as intention, mission, objective, objective of project or action, project of (wd:P3712 as p/wdt): desired result or outcome
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
3. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
9. indigenous to, also known as native to, originating from, spoken by (wd:P2341 as p/wdt): place or ethnic group where a language, art genre, cultural trad...biological species or variety is found (or was originally found)

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                  | property             | object                        |
| ------------------------ | -------------------- | ----------------------------- |
| suffragette (wd:Q322170) | has goal (wdt:P3712) | women's suffrage (wd:Q205204) |

[Tool]
Got 420 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                                       | object                            |
| ----------------------------- | ---------------------------------------------- | --------------------------------- |
| women's suffrage (wd:Q205204) | instance of (wdt:P31)                          | social movement (wd:Q49773)       |
| women's suffrage (wd:Q205204) | Commons category (wdt:P373)                    | Women's suffrage                  |
| women's suffrage (wd:Q205204) | subclass of (wdt:P279)                         | suffrage (wd:Q185387)             |
| women's suffrage (wd:Q205204) | on focus list of Wikimedia project (wdt:P5008) | Art+Feminism (wd:Q24909800)       |
| women's suffrage (wd:Q205204) | topic's main category (wdt:P910)               | wd:Q8949263                       |
| women's suffrage (wd:Q205204) | facet of (wdt:P1269)                           | women's rights (wd:Q223569)       |
| women's suffrage (wd:Q205204) | practiced by (wdt:P3095)                       | suffragist (wd:Q27532437)         |
| women's suffrage (wd:Q205204) | history of topic (wdt:P2184)                   | wd:Q6647212                       |
| women's suffrage (wd:Q205204) | Freebase ID (wdt:P646)                         | /m/017rqm                         |
| women's suffrage (wd:Q205204) | GND ID (wdtn:P227)                             | <https://d-nb.info/gnd/4071434-2> |
| ...                           | ...                                            | ...                               |

[Tool]
Got 1 row and 3 columns:
| subject                       | property               | object                |
| ----------------------------- | ---------------------- | --------------------- |
| women's suffrage (wd:Q205204) | subclass of (wdt:P279) | suffrage (wd:Q185387) |

[Tool]
Got 1 row and 3 columns:
| subject                       | property             | object                      |
| ----------------------------- | -------------------- | --------------------------- |
| women's suffrage (wd:Q205204) | facet of (wdt:P1269) | women's rights (wd:Q223569) |

[Tool]
Got 2 rows and 3 columns:
| subject                       | property              | object                                    |
| ----------------------------- | --------------------- | ----------------------------------------- |
| women's suffrage (wd:Q205204) | instance of (wdt:P31) | social movement (wd:Q49773)               |
| women's suffrage (wd:Q205204) | instance of (wdt:P31) | aspect of women's history (wd:Q125360958) |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 6 rows and 3 columns:
| subject                       | property                                       | object                                                |
| ----------------------------- | ---------------------------------------------- | ----------------------------------------------------- |
| women's suffrage (wd:Q205204) | on focus list of Wikimedia project (wdt:P5008) | Art+Feminism (wd:Q24909800)                           |
| women's suffrage (wd:Q205204) | on focus list of Wikimedia project (wdt:P5008) | WikiProject Human Rights (wd:Q13382529)               |
| women's suffrage (wd:Q205204) | on focus list of Wikimedia project (wdt:P5008) | Exciting women in history on Wikipedia (wd:Q85319493) |
| women's suffrage (wd:Q205204) | on focus list of Wikimedia project (wdt:P5008) | Wilhelmina Drucker Foundation Project (wd:Q58468254)  |
| women's suffrage (wd:Q205204) | on focus list of Wikimedia project (wdt:P5008) | gender gap on Dutch Wikipedia (wd:Q60687720)          |
| women's suffrage (wd:Q205204) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                           |

[Tool]
Got 84 rows and 3 columns, showing the first 10 rows below:
| subject                       | property   | object                              |
| ----------------------------- | ---------- | ----------------------------------- |
| women's suffrage (wd:Q205204) | rdfs:label | Ayollarning saylov huquqi (uz)      |
| women's suffrage (wd:Q205204) | rdfs:label | ceart vótála do mhná (ga)           |
| women's suffrage (wd:Q205204) | rdfs:label | Cêniyan rê heqa reyi (diq)          |
| women's suffrage (wd:Q205204) | rdfs:label | dreptul de vot al femeilor (ro)     |
| women's suffrage (wd:Q205204) | rdfs:label | droit de vote des femmes (fr)       |
| women's suffrage (wd:Q205204) | rdfs:label | Drwè di vòt di sé fanm (gcr)        |
| women's suffrage (wd:Q205204) | rdfs:label | E drejta e grave për të votuar (sq) |
| women's suffrage (wd:Q205204) | rdfs:label | Emakumeen sufragismoa (eu)          |
| women's suffrage (wd:Q205204) | rdfs:label | Frauenwahlrecht (de)                |
| women's suffrage (wd:Q205204) | rdfs:label | Haki ya wanawake kupiga kura (sw)   |
| ...                           | ...        | ...                                 |

[Tool] Got no rows and 3 columns

[Assistant]
Based on the data, the suffragettes (wd:Q322170) had the explicit goal ("has goal" property) of "women's suffrage" (wd:Q205204). "Women's suffrage" is further described as a social movement, an aspect of women's history, a subclass of "suffrage", and a facet of "women's rights".

I will now construct a SPARQL query that returns the main goal of the suffragettes, including the IRI and an optional label for clarity.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?mountain ?mountainLabel ?height WHERE {
  wd:Q195351 wdt:P20 ?mountain .
  OPTIONAL {
    ?mountain rdfs:label ?mountainLabel FILTER ( lang( ?mountainLabel ) = "en" )
  }
  ?mountain wdt:P2044 ?height .
}

Günther Messner died on Nanga Parbat, which has an elevation of 8,126 meters above sea level.

[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] How high is the mountain on which Günther Messner died?

[Assistant]
Let's break down the question:

1. Identify the mountain where Günther Messner died.
2. Find the height of that mountain.

First, I need to find the Wikidata entity for Günther Messner.

[Tool]
Top 10 entity alternatives:
1. Günther Messner (wd:Q195351): Italian mountain climber (1946-1970), mountaineer, explorer
2. Günther Messner Biwak (wd:Q65236135)
3. Alta Via Günther Messner (wd:Q3955425)
4. Albert Günther, also known as Albert Charles Lewis Gotthilf Günther, Günther, Albert Karl Ludwig Gotthilf Günther, Albert C. L. G. Gunther (wd:Q57514): Anglo-German zoologist (1830–1914), zoological collector, ichthyologist, herpetologist, biologist, zoologist, curator
5. Günther, also known as Gunther & The Sunshine Girls, Mats Söderlund (wd:Q465670): Swedish singer, singer, model
6. Gunther, also known as Gyntiarios, Guntiarius, Gundichar, Guntiar, Gunthahar (wd:Q339094): semi-legendary king of Burgundy of the early 5th century, politician
7. Gunther, also known as Big Van Walter, Walter Hahn, Walter (wd:Q11330762): Austrian professional wrestler, professional wrestler
8. Gunther (wd:Q897146): Archbishop of Cologne in Germany, Catholic priest
9. Matthäus Günther, also known as Günther, m. gunther, Matthüs Günther, Matthaus Gunther, Matthaus Gundter (wd:Q463504): German artist (1705-1788), university teacher, painter
10. Frauenarzt, also known as Vicente de Teba, Gynikologe, Räuber Rob, MC Digital F, Vicente de Teba Költerhoff (wd:Q487008): German rapper from Berlin, recording artist, rapper, singer

[Assistant]
The top result, Günther Messner (wd:Q195351), is the Italian mountain climber who died in 1970.

Next, I need to find the mountain where he died. I will look for properties related to "place of death" for Günther Messner.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
3. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
6. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
7. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
8. family name, also known as clan name, last name, surname (wd:P734 as p/wdt): part of full name of person, name
9. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
10. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                      | property                 | object                    |
| ---------------------------- | ------------------------ | ------------------------- |
| Günther Messner (wd:Q195351) | place of death (wdt:P20) | Nanga Parbat (wd:Q130736) |

[Assistant]
Günther Messner died on Nanga Parbat (wd:Q130736). Now, I need to find the height of Nanga Parbat.

I will search for properties related to "height" for Nanga Parbat.

[Tool]
Top 10 property alternatives:
1. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as p/wdt): height of the item (geographical object) as measured relative to sea level
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. mountain range, also known as system of mountains, hill range, range, parent range, mountain system (wd:P4552 as p/wdt): range or subrange to which the geographical item belongs, geomorphological unit
5. topographic prominence, also known as prominence (wd:P2660 as p/wdt): height of a mountain or hill relative to the lowest contour line encircling it (on Earth, maximum 8,848 m), height
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. aerial view, also known as overhead view, sky view, orthophotograph, orthophoto, aerial image (wd:P8592 as p/wdt): image of the subject taken from the air, video, image
9. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
10. continent (wd:P30 as p/wdt): continent of which the subject is a part, located in/on physical feature

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                   | property                              | object             |
| ------------------------- | ------------------------------------- | ------------------ |
| Nanga Parbat (wd:Q130736) | elevation above sea level (wdt:P2044) | 8126 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q66432 wdt:P1344 ?event .
  ?event wdt:P31 / wdt:P279 * wd:Q33881 .
}

Yes, Udo Bölts participated in the Tour de France (in at least one edition).

[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] Did Udo Bölts participate in the Tour de France?

[Assistant]
Let's break down the question:

1. Identify the entity "Udo Bölts" in Wikidata.
2. Identify the property that links a person to participation in an event (such as "participant in" or "has participated in").
3. Identify the entity for "Tour de France" in Wikidata.
4. Construct an ASK query to check if Udo Bölts participated in the Tour de France.

First, I'll search for "Udo Bölts" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Udo Bölts (wd:Q66432): German racing cyclist, sport cyclist
2. Wadjet, also known as Buto, Udṓ, Weʾd’ōjet (wd:Q146007): Ancient Egyptian snake-headed goddess, symbolizing Lower Egypt
3. Tampa Bay Lightning, also known as Bolts, Lightning, The Tampa Bay Lightning (wd:Q201864): ice hockey team of the National Hockey League
4. Udo (wd:Q496912): island
5. Udo, also known as Udo (Obotrite prince) (wd:Q13424614): Obotrite prince
6. Ultra Density Optical, also known as UDO (wd:Q1932063): optical disc format
7. Udo, also known as Udo (first name), Udo (given name) (wd:Q1465588): male given name
8. Lothair Udo I, Count of Stade, also known as Lothar-Udo I of Stade, Udo (wd:Q20498306): Count of Stade (950–994)
9. Udo Mechels, also known as Udo (wd:Q359510): Belgian Flemish singer-songwriter, singer
10. U Island, also known as U-do, Udo (wd:Q12608825): island in Incheon, Korea

[Assistant]
The correct entity for Udo Bölts is wd:Q66432.

Next, I need to identify the property that links a person to participation in an event, such as "participant in" or similar. I'll search for properties related to "participation" or "participant in".

[Tool]
Top 10 property alternatives:
1. participant, also known as suspect, player, party, participants, has participant (wd:P710 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
2. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
3. number of participants, also known as number of competitors, number of teams, participant count, participants, qty participants (wd:P1132 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of participants of an event, e.g. people or groups of people that take part in the event (NO units), quantity
4. recorded participant, also known as on-screen participant, onscreen participant, participant recorded (wd:P11108 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): agent taking an active role as a participant in a nonfiction moving image or other recorded work, participant
5. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): participant for whom this is their debut appearance in a series of events
6. object of occurrence, also known as action applies to item, undergoer, target of action, target, patient (wd:P12912 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): specific object to which an occurrence or class of occurrences applies
7. talk show guest, also known as show guest, podcast guest, participant in talk show, participant in podcast interview, interviewed person (wd:P5030 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person invited in a talk show, recorded participant
8. partner in business or sport, also known as professional partner, sport partner, sports partner, team mate, team-mate (wd:P1327 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): professional collaborator, significant person
9. contributor to the creative work or subject, also known as assistant, collaborator, contributor, contributor(s) to the subject, creative contributor (wd:P767 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person or organization that contributed to a subject: co-creator of a creative work or subject, participant
10. host, also known as host taxon (wd:P2975 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): an organism harboring another organism or organisms on or in itself

[Assistant]
The most relevant property for linking a person to an event they participated in is "participant in" (wd:P1344).

Now, I need to identify the entity for "Tour de France" in Wikidata. I'll search for "Tour de France".

[Tool]
Top 10 entity alternatives:
1. Tour de France, also known as Souvenir Henri Desgrange, TdF, Le Tour de France, Le Tour, La Grande Boucle (wd:Q33881): multiple-stage bicycle race primarily held in France
2. Tour de France (wd:Q2425911): 1983 Kraftwerk song
3. Pro Cycling Manager 2011, also known as Pro Cycling Manager: Season 2011, Tour de France (wd:Q3406163): 2011 video game
4. Tour de France (wd:Q23925083): 2016 film by Rachid Djaïdani
5. Tour de France, also known as Le Tour de France (wd:Q16964929): video game series
6. Tour de France (wd:Q3533332)
7. Tour de France (wd:Q70142694): 1985 video game
8. 2014 Tour de France, also known as Tour de France 2014, TdF 2014, Le Tour de France 2014 (wd:Q895853): 2014 edition of a multiple-stage bicycle race primarily held in France
9. 2012 Tour de France (wd:Q219414): cycling competition
10. 2010 Tour de France (wd:Q217287): cycling race

[Assistant]
The main entity for the Tour de France is wd:Q33881.

Now, I will construct an ASK query to check if Udo Bölts (wd:Q66432) participated in the Tour de France (wd:Q33881) using the property "participant in" (wd:P1344).

[Tool] False

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| event                                       |
| ------------------------------------------- |
| 1990 UCI Road World Rankings (wd:Q2976088)  |
| 1991 UCI Road World Rankings (wd:Q2976089)  |
| 1992 UCI Road World Rankings (wd:Q2976092)  |
| 1993 UCI Road World Rankings (wd:Q53843867) |
| 1994 UCI Road World Rankings (wd:Q53844929) |
| ...                                         |
| 1996 UCI Road World Rankings (wd:Q53844931) |
| wd:Q53844932                                |
| wd:Q53844933                                |
| 1999 UCI Road World Rankings (wd:Q53844934) |
| 1997 Tour de France (wd:Q757405)            |

[Tool] Got no rows and 1 columns

[Assistant]
The direct ASK query for Udo Bölts (wd:Q66432) participating in the general Tour de France entity (wd:Q33881) returned False. However, when checking the specific events he participated in, one of them is the "1997 Tour de France" (wd:Q757405).

This means that while the general property is not set, Udo Bölts is linked as a participant in at least one specific edition of the Tour de France.

Here is a refined ASK query to check if he participated in any edition of the Tour de France by checking if any of his "participant in" events are subclasses or instances of the Tour de France (wd:Q33881):

```sparql
ASK {
  wd:Q66432 wdt:P1344 ?event .
  ?event wdt:P31/wdt:P279* wd:Q33881 .
}
```

This will return True if Udo Bölts participated in any edition of the Tour de France.

[Tool] True

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?son ?sonLabel ?profession ?professionLabel WHERE {
  VALUES ?son {
    wd:Q124306663 wd:Q124306740 wd:Q311238 wd:Q357974
  }
  ?son wdt:P106 ?profession OPTIONAL {
    ?son rdfs:label ?sonLabel FILTER ( lang( ?sonLabel ) = "en" )
  }
  OPTIONAL {
    ?profession rdfs:label ?professionLabel FILTER ( lang( ?professionLabel ) = "en" )
  }
}

Got 16 rows and 4 columns, showing the first 5 and last 5 rows below:
| son                        | sonLabel           | profession                      | professionLabel       |
| -------------------------- | ------------------ | ------------------------------- | --------------------- |
| Sean Lennon (wd:Q311238)   | Sean Lennon (en)   | singer (wd:Q177220)             | singer (en)           |
| Julian Lennon (wd:Q357974) | Julian Lennon (en) | singer (wd:Q177220)             | singer (en)           |
| Sean Lennon (wd:Q311238)   | Sean Lennon (en)   | screenwriter (wd:Q28389)        | screenwriter (en)     |
| Julian Lennon (wd:Q357974) | Julian Lennon (en) | photographer (wd:Q33231)        | photographer (en)     |
| Sean Lennon (wd:Q311238)   | Sean Lennon (en)   | actor (wd:Q33999)               | actor (en)            |
| ...                        | ...                | ...                             | ...                   |
| Sean Lennon (wd:Q311238)   | Sean Lennon (en)   | poet (wd:Q49757)                | poet (en)             |
| Julian Lennon (wd:Q357974) | Julian Lennon (en) | poet (wd:Q49757)                | poet (en)             |
| Julian Lennon (wd:Q357974) | Julian Lennon (en) | recording artist (wd:Q55960555) | recording artist (en) |
| Sean Lennon (wd:Q311238)   | Sean Lennon (en)   | guitarist (wd:Q855091)          | guitarist (en)        |
| Julian Lennon (wd:Q357974) | Julian Lennon (en) | guitarist (wd:Q855091)          | guitarist (en)        |

According to Wikidata, John Lennon's sons and their professions are as follows:
- Sean Lennon: singer, screenwriter, actor, composer, pianist, guitarist, poet
- Julian Lennon: singer, singer-songwriter, photographer, composer, poet, recording artist, guitarist
No professions are listed for John Ono Lennon (Q124306663) or John Lennon III (Q124306740) in Wikidata.

[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 professions of John Lennon’s sons?

[Assistant]
Let's break down the question:

1. We need to identify John Lennon's sons.
2. For each son, we need to find their professions.

First, I'll search for "John Lennon" in Wikidata to get his entity ID. Then, I'll look for his children, and finally, for each son, I'll retrieve their professions.

Let's start by searching for "John Lennon".

[Tool]
Top 10 entity alternatives:
1. John Lennon, also known as John Winston Ono Lennon, John Ono Lennon (wd:Q1203): British musician (1940–1980), political activist, singer-songwriter, recording artist, record producer, peace activist, public figure, film director, film producer, prose writer, film actor, guitarist, composer, painter, pianist, singer, writer, actor, poet
2. Liverpool John Lennon Airport, also known as John Lennon, John Lennon airport, Liverpool Airport, Liverpool (John Lennon), LPL (wd:Q8727): airport in Liverpool, England
3. John Lennon Silva Santos, also known as John Lennon (wd:Q6244563): association football player, Brazilian footballer
4. John Brown Lennon, also known as John B. Lennon, John Lennon (wd:Q6223555): American labor leader (1850–1923), trade unionist
5. John Lennon, also known as J. John Lennon, Justin John Lennon (wd:Q11979004): Scottish tourism researcher, university teacher, tourism scholar
6. John Lennon (wd:Q65548791): Irish hurler born 1996
7. John Lennon (wd:Q6244553): British naval captain, military personnel
8. John Lennon (wd:Q12871620): 1855 - 3 Aug 1921
9. John Lennon (wd:Q125643070): 2005 edition of written work by Jordi Sierra i Fabra
10. John Lennon (wd:Q106781630): 2015 song by SCH

[Assistant]
The correct entity for John Lennon, the British musician, is wd:Q1203.

Next, I need to find his children. I'll look for properties related to "children" for John Lennon in Wikidata.

[Tool]
Top 10 property alternatives:
1. number of children, also known as children, children (number), how many children, issue, kids (wd:P1971 as p/wdt): number of children of the person, animal, or character
2. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
3. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
4. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as p/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
5. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as p/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
6. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent

No other items found

[Assistant] The property "child" (wdt:P40) is used to list the children of a person. I will now retrieve the children of John Lennon (wd:Q1203) using this property.

[Tool]
Got 4 rows and 1 column:
| child                           |
| ------------------------------- |
| John Ono Lennon (wd:Q124306663) |
| John Lennon III (wd:Q124306740) |
| Sean Lennon (wd:Q311238)        |
| Julian Lennon (wd:Q357974)      |

[Assistant]
John Lennon has the following children listed in Wikidata:
- John Ono Lennon (wd:Q124306663)
- John Lennon III (wd:Q124306740)
- Sean Lennon (wd:Q311238)
- Julian Lennon (wd:Q357974)

Now, I need to determine which of these are his sons, and then find their professions. I'll start by checking the gender of each child.

[Tool]
Got 4 rows and 2 columns:
| child                           | gender             |
| ------------------------------- | ------------------ |
| John Ono Lennon (wd:Q124306663) | male (wd:Q6581097) |
| John Lennon III (wd:Q124306740) | male (wd:Q6581097) |
| Sean Lennon (wd:Q311238)        | male (wd:Q6581097) |
| Julian Lennon (wd:Q357974)      | male (wd:Q6581097) |

[Assistant]
All four children listed are male, so they are all sons of John Lennon according to Wikidata.

Next, I will retrieve the professions of each son. The property for profession is typically "occupation" (wdt:P106). I'll query the occupations for all four sons.

[Tool]
Got 16 rows and 2 columns, showing the first 5 and last 5 rows below:
| son                        | profession                      |
| -------------------------- | ------------------------------- |
| Sean Lennon (wd:Q311238)   | singer (wd:Q177220)             |
| Sean Lennon (wd:Q311238)   | screenwriter (wd:Q28389)        |
| Sean Lennon (wd:Q311238)   | actor (wd:Q33999)               |
| Sean Lennon (wd:Q311238)   | composer (wd:Q36834)            |
| Sean Lennon (wd:Q311238)   | pianist (wd:Q486748)            |
| ...                        | ...                             |
| Julian Lennon (wd:Q357974) | composer (wd:Q36834)            |
| Julian Lennon (wd:Q357974) | singer-songwriter (wd:Q488205)  |
| Julian Lennon (wd:Q357974) | poet (wd:Q49757)                |
| Julian Lennon (wd:Q357974) | recording artist (wd:Q55960555) |
| Julian Lennon (wd:Q357974) | guitarist (wd:Q855091)          |

[Tool]
Got 16 rows and 4 columns, showing the first 5 and last 5 rows below:
| son                        | sonLabel           | profession                      | professionLabel       |
| -------------------------- | ------------------ | ------------------------------- | --------------------- |
| Sean Lennon (wd:Q311238)   | Sean Lennon (en)   | singer (wd:Q177220)             | singer (en)           |
| Julian Lennon (wd:Q357974) | Julian Lennon (en) | singer (wd:Q177220)             | singer (en)           |
| Sean Lennon (wd:Q311238)   | Sean Lennon (en)   | screenwriter (wd:Q28389)        | screenwriter (en)     |
| Julian Lennon (wd:Q357974) | Julian Lennon (en) | photographer (wd:Q33231)        | photographer (en)     |
| Sean Lennon (wd:Q311238)   | Sean Lennon (en)   | actor (wd:Q33999)               | actor (en)            |
| ...                        | ...                | ...                             | ...                   |
| Sean Lennon (wd:Q311238)   | Sean Lennon (en)   | poet (wd:Q49757)                | poet (en)             |
| Julian Lennon (wd:Q357974) | Julian Lennon (en) | poet (wd:Q49757)                | poet (en)             |
| Julian Lennon (wd:Q357974) | Julian Lennon (en) | recording artist (wd:Q55960555) | recording artist (en) |
| Sean Lennon (wd:Q311238)   | Sean Lennon (en)   | guitarist (wd:Q855091)          | guitarist (en)        |
| Julian Lennon (wd:Q357974) | Julian Lennon (en) | guitarist (wd:Q855091)          | guitarist (en)        |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?stadium WHERE {
  wd:Q213417 wdt:P115 ?stadium
}

The New York Yankees play at Yankee Stadium (wd:Q753529).

[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] In which stadium do the New York Yankees play?

[Assistant]
Let's break down the question:

1. The entity "New York Yankees" refers to a Major League Baseball team.
2. The question asks for the stadium where they play, so we need to find the property that links a sports team to its home stadium.

First, I will search for the entity "New York Yankees" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. New York Yankees, also known as New York Highlanders, Yankees, NY Yankees, NYY, Highlanders (wd:Q213417): baseball team and Major League Baseball franchise in the Bronx, New York, United States
2. New York Yankees (wd:Q979646): defunct American football team
3. New York Yankees (wd:Q1275088): American football team from 1946 to 1949
4. New York Yankees (wd:Q7014865): American football team in 1936
5. New York Yankees (wd:Q16845944): association football (soccer) team
6. New York Yankees (wd:Q7014868): American football team in 1940
7. New York Yankees Museum (wd:Q7014872): baseball museum in The Bronx
8. New York Black Yankees, also known as Black Yankees (wd:Q7013072): Negro League Baseball team active from 1931-1948; record: 243-462-19 (.345)
9. history of the New York Yankees, also known as New York Yankees history, the New York Yankees history (wd:Q5870090): Sports team history
10. Saratoga Harlem Yankees, also known as Glens Falls-Saratoga, New York Harlem Yankees, Schenectady Yankees (wd:Q7423363): defunct American basketball team

[Assistant]
The correct entity for the New York Yankees baseball team is wd:Q213417.

Next, I need to find the property that links a sports team to its home stadium. I will search for properties related to "stadium" for this entity.

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
6. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
7. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
8. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
10. SportsLogos.net team ID, also known as SportsLogos.net ID (wd:P9122 as p/wdt): identifier for a sports organization on the website Sports Logos

No other items found

[Assistant]
The property "home venue" (wd:P115) is the correct one to link a sports team to its stadium.

Now, I will write a SPARQL query to find the stadium (home venue) of the New York Yankees (wd:Q213417). I will also try to get the stadium's label for clarity.

[Tool]
Got 1 row and 2 columns:
| stadium                     | stadiumLabel        |
| --------------------------- | ------------------- |
| Yankee Stadium (wd:Q753529) | Yankee Stadium (en) |

[Tool] Stopped generation process