PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?award ?awardLabel WHERE {
  wd:Q7197 wdt:P1411 ?award .
  OPTIONAL {
    ?award rdfs:label ?awardLabel FILTER ( LANG( ?awardLabel ) = "en" )
  }
}

Using entities:
- Simone de Beauvoir (wd:Q7197): has occupation women letter writer / has occupation novelist / has occupation Philosopher / has occupation philosopher / has occupation philosophy teacher / has occupation author / has occupation literary critic / has occupation writer / has occupation political activist / has occupation feminist / has occupation journalist / has occupation diarist / has occupation political philosopher / has occupation autobiographer / has occupation essayist / is instance of human / French philosopher, social theorist and activist (1908–1986) / French philosopher, social theorist and activist (1908–1986) / French writer, philosopher and feminist

Using properties:
- nominated for (wd:P1411 as wdt), also known as finalist for, finalist for award, have nomination to, nominated for award, nomination received, etc.: award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166)) / award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))

Answer: Simone de Beauvoir was nominated for the Nobel Prize in Literature.

Simone de Beauvoir was nominated for the Nobel Prize in Literature.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?award ?awardLabel WHERE {
  wd:Q7197 wdt:P1411 ?award .
  OPTIONAL {
    ?award rdfs:label ?awardLabel FILTER ( LANG( ?awardLabel ) = "en" )
  }
}

Using entities:
- Simone de Beauvoir (wd:Q7197): has occupation women letter writer / has occupation novelist / has occupation Philosopher / has occupation philosopher / has occupation philosophy teacher / has occupation author / has occupation literary critic / has occupation writer / has occupation political activist / has occupation feminist / has occupation journalist / has occupation diarist / has occupation political philosopher / has occupation autobiographer / has occupation essayist / is instance of human / French philosopher, social theorist and activist (1908–1986) / French philosopher, social theorist and activist (1908–1986) / French writer, philosopher and feminist

Using properties:
- nominated for (wd:P1411 as wdt), also known as finalist for, finalist for award, have nomination to, nominated for award, nomination received, etc.: award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166)) / award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))

Execution result:
Got 1 row and 2 columns:
| award                                 | awardLabel                          |
| ------------------------------------- | ----------------------------------- |
| Nobel Prize in Literature (wd:Q37922) | Nobel Prize in Literature (lang:en) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] For what literature prize was Simone de Beauvoir nominated?

[Assistant]
Step 1: Identify the entity "Simone de Beauvoir" in Wikidata. I will search for this entity first.

Question: Simone de Beauvoir

Top 10 entity alternatives:
1. Simone de Beauvoir (wd:Q7197): French philosopher, social theorist and activist (1908–1986) / French philosopher, social theorist and activist (1908–1986) / French writer, philosopher and feminist / has occupation political philosopher / has occupation women letter writer / has occupation philosophy teacher / has occupation political activist / has occupation literary critic / has occupation autobiographer / has occupation Philosopher / has occupation philosopher / has occupation journalist / has occupation novelist / has occupation feminist / has occupation essayist / has occupation diarist / has occupation author / has occupation writer / is instance of human
2. Simone de Beauvoir (wd:Q66049034): 1979 documentary film directed by Josée Dayan / is instance of film
3. Simone de Beauvoir (wd:Q87280632): is instance of radio programme episode / is instance of radio series episode / episode of In Our Time
4. Simone de Beauvoir Prize (wd:Q2316171): is instance of award
5. Simone de Beauvoir Park (wd:Q23796565), also known as Fontainas Park: park in Brussels, Belgium / is instance of park
6. rue Simone de Beauvoir (wd:Q111302129): street in Bondy, France / is instance of street / street / street
7. rue Simone de Beauvoir (wd:Q115799099): street in Nanterre, France / is instance of street
8. rue Simone de Beauvoir (wd:Q111847967): street in Limeil-Brévannes, France / is instance of street / street / street
9. allée Simone de Beauvoir (wd:Q111916916): alley in Arcueil, France / is instance of avenue / is instance of Avenue
10. rue Simone de Beauvoir (wd:Q111916634): street in Villeneuve-Saint-Georges, France / is instance of street / street / street

[Assistant]
The entity for Simone de Beauvoir is wd:Q7197. Now I will search for literature prizes or awards for which Simone de Beauvoir was nominated. I will look for properties related to awards or nominations for this entity.

Question: award

Top 10 property alternatives:
1. award received (wd:P166 as wdt/p, matched via award), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
2. nominated for (wd:P1411 as wdt/p, matched via selected for award), also known as finalist for, finalist for award, have nomination to, nominated for award, nomination received, etc.: award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166)) / award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
3. notable work (wd:P800 as wdt/p), also known as artwork, author of, bibliography, books by, creator of, etc.: notable scientific, artistic or literary work, or other work of significance among subject's works / notable scientific, artistic or literary work, or other work of significance among subject's works
4. Nobel Prize People Nomination ID (wd:P3360 as wdt/p), also known as P3360: identifier for a person who nominated someone, or who was nominated, for a Nobel Prize
5. spouse (wd:P26 as p, matched via wed), also known as common-law husband, common-law spouse, common-law wife, husband, husbands, etc.: the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / is subproperty of significant person / is subproperty of relative
6. topic's main category (wd:P910 as wdt/p, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
7. described by source (wd:P1343 as wdt/p, matched via entry), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
8. field of work (wd:P101 as wdt/p, matched via academic area), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in
9. educated at (wd:P69 as wdt/p, matched via attended), also known as alma mater, alumna of, alumni of, alumnus of, attended, etc.: educational institution attended by the subject / educational institution attended by the subject / educational institution attended by subject / is subproperty of affiliation
10. birth name (wd:P1477 as wdt/p, matched via née), also known as birthname, bn, bname, born as, full birth name, etc.: full name of a person at birth, if different from their ... John Peter Doe for Joe Doe, Ann Smith for Ann Miller) / full name of a person at birth, if different from their current, generally used name / full name of a person at birth, if different from their current name / is subproperty of name

No other items found

[Assistant]
The property "nominated for" (wdt:P1411) is relevant for finding literature prizes for which Simone de Beauvoir was nominated. I will now query for awards or prizes for which Simone de Beauvoir (wd:Q7197) was nominated using this property.

execute

SELECT ?award ?awardLabel WHERE { wd:Q7197 wdt:P1411 ?award . OPTIONAL { ?award rdfs:label ?awardLabel FILTER (LANG(?awardLabel) = "en") } }

[Assistant]
answer

SELECT ?award ?awardLabel WHERE { wd:Q7197 wdt:P1411 ?award . OPTIONAL { ?award rdfs:label ?awardLabel FILTER (LANG(?awardLabel) = "en") } }

Answer: Simone de Beauvoir was nominated for the Nobel Prize in Literature.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?movie ?movieLabel WHERE {
  wd:Q169604 wdt:P527 ?movie .
  ?movie rdfs:label ?movieLabel .
  FILTER ( LANG( ?movieLabel ) = "en" )
}

Using entities:
- Three Flavours Cornetto trilogy (wd:Q169604), also known as Blood and Ice Cream trilogy, Cornetto trilogy, The Cornetto Trilogy: is instance of film trilogy / 2004–2013 three films directed by Edgar Wright

Using properties:
- has part(s) (wd:P527 as wdt), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject, also valuable subclass or exemplar. Inverse property of "part of". / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

Got 3 rows and 2 columns:
| movie                          | movieLabel                  |
| ------------------------------ | --------------------------- |
| The World's End (wd:Q722379)   | The World's End (lang:en)   |
| Hot Fuzz (wd:Q729788)          | Hot Fuzz (lang:en)          |
| Shaun of the Dead (wd:Q858724) | Shaun of the Dead (lang:en) |

Answer: The movies that belong to the Cornetto trilogy (Three Flavours Cornetto trilogy) are: Shaun of the Dead, Hot Fuzz, and The World's End.

The movies that belong to the Cornetto trilogy (Three Flavours Cornetto trilogy) are: Shaun of the Dead, Hot Fuzz, and The World's End.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?movie ?movieLabel WHERE {
  wd:Q169604 wdt:P527 ?movie .
  ?movie rdfs:label ?movieLabel .
  FILTER ( LANG( ?movieLabel ) = "en" )
}

Using entities:
- Three Flavours Cornetto trilogy (wd:Q169604), also known as Blood and Ice Cream trilogy, Cornetto trilogy, The Cornetto Trilogy: is instance of film trilogy / 2004–2013 three films directed by Edgar Wright

Using properties:
- has part(s) (wd:P527 as wdt), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject, also valuable subclass or exemplar. Inverse property of "part of". / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

Execution result:
Got 3 rows and 2 columns:
| movie                          | movieLabel                  |
| ------------------------------ | --------------------------- |
| The World's End (wd:Q722379)   | The World's End (lang:en)   |
| Hot Fuzz (wd:Q729788)          | Hot Fuzz (lang:en)          |
| Shaun of the Dead (wd:Q858724) | Shaun of the Dead (lang:en) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which movies belong to the Cornetto trilogy ?

[Assistant]
To answer the question "Which movies belong to the Cornetto trilogy?" we need to:

1. Identify the entity for "Cornetto trilogy" in the knowledge graph.
2. Find the movies that are part of this trilogy.

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

Question: Cornetto trilogy

Top 10 entity alternatives:
1. Three Flavours Cornetto trilogy (wd:Q169604, matched via Cornetto trilogy), also known as Blood and Ice Cream trilogy, Cornetto trilogy, The Cornetto Trilogy: 2004–2013 three films directed by Edgar Wright / is instance of film trilogy
2. The Lord of the Rings (wd:Q190214, matched via LotR trilogy), also known as Lord of the Rings, Lord of the Rings trilogy, LotR, LotR trilogy, The Lord of the Rings trilogy: 2001-2003 three films directed by Peter Jackson / is instance of film trilogy
3. trilogy (wd:Q149010): is subclass of series of specified number of works / set of three works of art that are connected / is instance of series of creative works / is instance of narrative form / is subclass of series of 3 / is instance of serial
4. The Hobbit trilogy (wd:Q74331, matched via Hobbit trilogy), also known as Hobbit trilogy, The Hobbit: film series consisting of three films based on the 1937 novel "The Hobbit" by J. R. R. Tolkien / is instance of film trilogy
5. Dollars Trilogy (wd:Q370180), also known as Fistful of Dollars Trilogy, The Man With No Name: 1964–1966 Western films directed by Sergio Leone / is instance of film trilogy
6. Millennium (wd:Q847022, matched via Millennium trilogy), also known as Millennium trilogy: series of novels by Stieg Larsson, David Lagercrantz and Karin Smirnoff. / is instance of novel series
7. cornett (wd:Q204638, matched via cornetto), also known as cornetto, zink: early wind instrument with a cup mouthpiece / is subclass of keyed chromatic trumpets
8. Zork (wd:Q226736, matched via Zork trilogy), also known as Zork trilogy: is instance of video game trilogy / 1977 video game / 1977 video game / video game
9. Trilogy (wd:Q930723): 1972 studio album by Emerson, Lake & Palmer / album by Emerson, Lake & Palmer / album by Emerson, Lake & Palmer / is instance of album
10. The Godfather (wd:Q3225260, matched via Godfather trilogy), also known as Godfather trilogy, The Godfather series, The Godfather trilogy: 1972-1990 film series by Francis Ford Coppola / is instance of film trilogy

[Assistant]
The entity "Three Flavours Cornetto trilogy" (wd:Q169604) corresponds to the Cornetto trilogy. Now, I will find the movies that are part of this trilogy by looking for films that are part of this entity. I will check the property that links the trilogy to its movies. Typically, the property "has part" (wdt:P527) is used for parts of a series or collection. I will list some triples for the entity "Three Flavours Cornetto trilogy" to confirm this.

list

wd:Q169604

Got 159 rows and 3 columns, showing the first 10 rows below:
| subject                                      | property                                        | object                                |
| -------------------------------------------- | ----------------------------------------------- | ------------------------------------- |
| Three Flavours Cornetto trilogy (wd:Q169604) | instance of (wdt:P31)                           | film trilogy (wd:Q13593818)           |
| Three Flavours Cornetto trilogy (wd:Q169604) | publication date (wdt:P577)                     | 2004-01-01T00:00:00Z (xsd:dateTime)   |
| Three Flavours Cornetto trilogy (wd:Q169604) | Freebase ID (wdt:P646)                          | /m/05zscdl                            |
| Three Flavours Cornetto trilogy (wd:Q169604) | has part(s) (wdt:P527)                          | Shaun of the Dead (wd:Q858724)        |
| Three Flavours Cornetto trilogy (wd:Q169604) | country of origin (wdt:P495)                    | United Kingdom (wd:Q145)              |
| Three Flavours Cornetto trilogy (wd:Q169604) | genre (wdt:P136)                                | comedy film (wd:Q157443)              |
| Three Flavours Cornetto trilogy (wd:Q169604) | cast member (wdt:P161)                          | Simon Pegg (wd:Q238464)               |
| Three Flavours Cornetto trilogy (wd:Q169604) | native label (wdt:P1705)                        | Blood and Ice Cream Trilogy (lang:en) |
| Three Flavours Cornetto trilogy (wd:Q169604) | original language of film or TV show (wdt:P364) | English (wd:Q1860)                    |
| Three Flavours Cornetto trilogy (wd:Q169604) | director (wdt:P57)                              | Edgar Wright (wd:Q522057)             |
| ...                                          | ...                                             | ...                                   |

[Assistant]
The property "has part(s)" (wdt:P527) links the "Three Flavours Cornetto trilogy" to its movies. The movies listed under this property for this trilogy include "Shaun of the Dead" (wd:Q858724). I will now write a query to retrieve all movies that are part of the "Three Flavours Cornetto trilogy" using the "has part(s)" property. I will also include their labels for readability.

execute

SELECT ?movie ?movieLabel WHERE {
  wd:Q169604 wdt:P527 ?movie .
  ?movie rdfs:label ?movieLabel .
  FILTER(LANG(?movieLabel) = "en")
}

Got 3 rows and 2 columns:
| movie                          | movieLabel                  |
| ------------------------------ | --------------------------- |
| The World's End (wd:Q722379)   | The World's End (lang:en)   |
| Hot Fuzz (wd:Q729788)          | Hot Fuzz (lang:en)          |
| Shaun of the Dead (wd:Q858724) | Shaun of the Dead (lang:en) |

[Assistant]
answer

SELECT ?movie ?movieLabel WHERE {
  wd:Q169604 wdt:P527 ?movie .
  ?movie rdfs:label ?movieLabel .
  FILTER(LANG(?movieLabel) = "en")
}

Answer: The movies that belong to the Cornetto trilogy (Three Flavours Cornetto trilogy) are: Shaun of the Dead, Hot Fuzz, and The World's End.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?team WHERE {
  wd:Q169452 p:P54 ?statement1 .
  ?statement1 ps:P54 ?team ; pq:P580 ?start1 ; pq:P582 ?end1 .
  wd:Q25369 p:P54 ?statement2 .
  ?statement2 ps:P54 ?team ; pq:P580 ?start2 ; pq:P582 ?end2 .
  BIND( xsd:integer ( SUBSTR( STR( ?start1 ) , 1 , 4 ) ) AS ?startYear1 ) .
  BIND( xsd:integer ( SUBSTR( STR( ?end1 ) , 1 , 4 ) ) AS ?endYear1 ) .
  BIND( xsd:integer ( SUBSTR( STR( ?start2 ) , 1 , 4 ) ) AS ?startYear2 ) .
  BIND( xsd:integer ( SUBSTR( STR( ?end2 ) , 1 , 4 ) ) AS ?endYear2 ) .
  FILTER ( ?startYear1 <= 2000 && ?endYear1 >= 2000 && ?startYear2 <= 2000 && ?endYear2 >= 2000 ) .
}
LIMIT 10

Using entities:
- Shaquille O'Neal (wd:Q169452), also known as Shaq, Shaq O'Neal, Shaquille, Shaquille O’Neal, Shaquille Rashaun O'Neal, etc.: has occupation actor / has occupation sports commentator / has occupation film producer / has occupation Film producer / has occupation film actor / has occupation basketball player / has occupation Thai boxer / has occupation businessperson / has occupation television producer / has occupation real estate entrepreneur / has occupation rapper / has occupation podcaster / has occupation singer / has occupation screenwriter / is instance of human / American basketball player
- Kobe Bryant (wd:Q25369), also known as Black Mamba, KB24, Kobe, Kobe B. Bryant, Kobe Bean Bryant: has occupation screenwriter / has occupation professional athlete / has occupation basketball player / is instance of human / American basketball player (1978–2020)

Using properties:
- member of sports team (wd:P54 as ps/p), also known as club played for, member of team, of team, part of team, played for, etc.: is subproperty of member of / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject represents or represented
- start time (wd:P580 as pq), also known as began, beginning, building date, effective, effectivity, etc.: is subproperty of point in time / indicates the time an item begins to exist or a statement starts being valid / indicates the time an item begins to exist or a statement starts being valid / time an entity begins to exist or a statement starts being valid
- end time (wd:P582 as pq), also known as abolished, cease date, cease operation, cease time, closed, etc.: is subproperty of point in time / indicates the time an item ceases to exist or a statement stops being valid / indicates the time an item ceases to exist or a statement stops being valid / moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true

Answer: Yes, Shaquille O'Neal was a teammate of Kobe Bryant in the year 2000 on the Los Angeles Lakers.

Yes, Shaquille O'Neal was a teammate of Kobe Bryant in the year 2000 on the Los Angeles Lakers.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?team WHERE {
  wd:Q169452 p:P54 ?statement1 .
  ?statement1 ps:P54 ?team ; pq:P580 ?start1 ; pq:P582 ?end1 .
  wd:Q25369 p:P54 ?statement2 .
  ?statement2 ps:P54 ?team ; pq:P580 ?start2 ; pq:P582 ?end2 .
  BIND( xsd:integer ( SUBSTR( STR( ?start1 ) , 1 , 4 ) ) AS ?startYear1 ) .
  BIND( xsd:integer ( SUBSTR( STR( ?end1 ) , 1 , 4 ) ) AS ?endYear1 ) .
  BIND( xsd:integer ( SUBSTR( STR( ?start2 ) , 1 , 4 ) ) AS ?startYear2 ) .
  BIND( xsd:integer ( SUBSTR( STR( ?end2 ) , 1 , 4 ) ) AS ?endYear2 ) .
  FILTER ( ?startYear1 <= 2000 && ?endYear1 >= 2000 && ?startYear2 <= 2000 && ?endYear2 >= 2000 ) .
}
LIMIT 10

Using entities:
- Shaquille O'Neal (wd:Q169452), also known as Shaq, Shaq O'Neal, Shaquille, Shaquille O’Neal, Shaquille Rashaun O'Neal, etc.: has occupation actor / has occupation sports commentator / has occupation film producer / has occupation Film producer / has occupation film actor / has occupation basketball player / has occupation Thai boxer / has occupation businessperson / has occupation television producer / has occupation real estate entrepreneur / has occupation rapper / has occupation podcaster / has occupation singer / has occupation screenwriter / is instance of human / American basketball player
- Kobe Bryant (wd:Q25369), also known as Black Mamba, KB24, Kobe, Kobe B. Bryant, Kobe Bean Bryant: has occupation screenwriter / has occupation professional athlete / has occupation basketball player / is instance of human / American basketball player (1978–2020)

Using properties:
- member of sports team (wd:P54 as ps/p), also known as club played for, member of team, of team, part of team, played for, etc.: is subproperty of member of / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject represents or represented
- start time (wd:P580 as pq), also known as began, beginning, building date, effective, effectivity, etc.: is subproperty of point in time / indicates the time an item begins to exist or a statement starts being valid / indicates the time an item begins to exist or a statement starts being valid / time an entity begins to exist or a statement starts being valid
- end time (wd:P582 as pq), also known as abolished, cease date, cease operation, cease time, closed, etc.: is subproperty of point in time / indicates the time an item ceases to exist or a statement stops being valid / indicates the time an item ceases to exist or a statement stops being valid / moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true

Execution result:
Got 1 row and 1 column:
| team                            |
| ------------------------------- |
| Los Angeles Lakers (wd:Q121783) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Was Shaquille O'Neal the teammate of Kobe Bryant in the year of 2000?

[Assistant]
To answer the question "Was Shaquille O'Neal the teammate of Kobe Bryant in the year of 2000?", I need to check if both Shaquille O'Neal and Kobe Bryant were members of the same basketball team during the year 2000.

Step 1: Identify the entities for "Shaquille O'Neal" and "Kobe Bryant" in Wikidata.
Step 2: Find the teams they played for and the time periods of their membership.
Step 3: Check if there is an overlap in the year 2000 for the same team.

I will start by searching for the entities "Shaquille O'Neal" and "Kobe Bryant" in Wikidata.

Question: Shaquille O'Neal

Top 10 entity alternatives:
1. Shaquille O'Neal (wd:Q169452), also known as Shaq, Shaq O'Neal, Shaquille, Shaquille O’Neal, Shaquille Rashaun O'Neal, etc.: has occupation real estate entrepreneur / has occupation television producer / has occupation sports commentator / has occupation basketball player / has occupation businessperson / has occupation film producer / has occupation Film producer / has occupation screenwriter / American basketball player / has occupation Thai boxer / has occupation film actor / has occupation podcaster / has occupation singer / has occupation rapper / has occupation actor / is instance of human
2. Shaquille O'Neal (wd:Q125446160): is instance of television series episode / episode of All That (S5 E3)
3. Shaquille Cleare (wd:Q61953486, matched via Shaquille O'Neal Cleare), also known as Shaquille O'Neal Cleare: college basketball player (2013–2017) Maryland; Texas / has occupation basketball player / is instance of human
4. Shaq Belson (wd:Q106725566, matched via Shaquille O'Neal Belson), also known as Shaquille Belson, Shaquille O'Neal Belson: has occupation American football player / American American football player / has occupation football player / is instance of human
5. Shaquille Allen (wd:Q106725550, matched via Shaquille O'Neal Allen), also known as Shaquille O'Neal Allen: has occupation American football player / has occupation football player / American football player / is instance of human
6. Shaquille O'Neal Motors (wd:Q114535400): is instance of television series episode / episode of Fresh Off the Boat (S2 E3)
7. Statue of Shaquille O'Neal (wd:Q114363921): sculpture in Los Angeles, California, U.S / is instance of statue
8. Upload with Shaquille O'Neal (wd:Q7898386): American comedy television series / is instance of television series / is instance of serial
9. The Best of Shaquille O'Neal (wd:Q7717219): album by Shaquille O'Neal / album by Shaquille O'Neal / album by Shaquille O'Neal / is instance of album
10. A Message from Shaquille O'Neal (wd:Q110058550): is instance of Saturday Night Live sketch / sketch from Saturday Night Live

[Assistant]
Question: Kobe Bryant

Top 10 entity alternatives:
1. Kobe Bryant (wd:Q25369), also known as Black Mamba, KB24, Kobe, Kobe B. Bryant, Kobe Bean Bryant: American basketball player (1978–2020) / has occupation professional athlete / has occupation basketball player / has occupation screenwriter / is instance of human
2. Kobe Bryant Day (wd:Q98969272): proposed Federal Holiday / is instance of holiday
3. Kobe Bryant Boulevard (wd:Q107299206): proposed street renaming in Los Angeles / is instance of thoroughfare
4. death of Kobe Bryant (wd:Q83737550, matched via Kobe Bryant death), also known as Kobe Bryant death, Kobe Bryant's death: 26 January 2020 death of Kobe Bryant in helicopter crash / is instance of death
5. NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391, matched via Kobe Bryant MVP Award), also known as Kobe Bryant Most Valuable Player Award, Kobe Bryant MVP Award, NBA All-Star Game Kobe Bryant MVP Award: basketball award of the National Basketball Association (NBA) / is instance of most valuable player award
6. Statue of Kobe Bryant (wd:Q125101336): sculpture in Los Angeles, California, U.S
7. Kobe Bryant China Fund (wd:Q6424297): for education, sports, and culture programs for children from China and the United States / is instance of fund
8. Kobe Bryant/Ice Cube (wd:Q125446155): is instance of television series episode / episode of All That (S4 E19)
9. Kobe Bryant sexual assault case (wd:Q6424298): is instance of legal case / legal case
10. Kobe Bryant in NBA Courtside (wd:Q3198120): is instance of video game / 1998 video game / 1998 video game / 1998 video game

[Assistant]
I have identified the entities:
- Shaquille O'Neal: wd:Q169452
- Kobe Bryant: wd:Q25369

Next, I will find the teams they played for and the time periods of their membership to check if they were teammates in the year 2000. I will start by checking the teams Shaquille O'Neal played for with time qualifiers.

list

wd:Q169452

Got 7 rows and 3 columns:
| subject                       | property                        | object                                    |
| ----------------------------- | ------------------------------- | ----------------------------------------- |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Los Angeles Lakers (wd:Q121783)           |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Boston Celtics (wd:Q131371)               |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Orlando Magic (wd:Q161337)                |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Cleveland Cavaliers (wd:Q162990)          |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Phoenix Suns (wd:Q164177)                 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Miami Heat (wd:Q169138)                   |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | LSU Tigers men's basketball (wd:Q6460027) |

[Assistant]
Shaquille O'Neal was a member of several sports teams including the Los Angeles Lakers (wd:Q121783). Next, I will check the teams Kobe Bryant played for.

wd:Q25369

[Assistant]
Kobe Bryant was a member of the Los Angeles Lakers (wd:Q121783).

Now I need to check if both Shaquille O'Neal and Kobe Bryant were members of the Los Angeles Lakers in the year 2000. I will look for the membership start and end dates for Shaquille O'Neal and Kobe Bryant in the Los Angeles Lakers. I will start with Shaquille O'Neal.

wd:Q169452

[Assistant] wd:Q169452

[Assistant]
The direct property wdt:P54 for membership in Los Angeles Lakers does not provide qualifiers for the time period. I will try to find the statements for Shaquille O'Neal's membership in the Los Angeles Lakers with qualifiers to get the time period. I will query for the statements with property P54 for Shaquille O'Neal.

wd:Q169452

[Assistant] There are several statements for Shaquille O'Neal's membership in sports teams. I will now check the details of these statements to find the one related to the Los Angeles Lakers and check the qualifiers for the time period. I will start by looking at the qualifiers of the first statement.

[Assistant] The first statement is about Shaquille O'Neal's membership in LSU Tigers men's basketball from 1989 to 1992. I will check the next statement for the Los Angeles Lakers membership.

[Assistant] The second statement is about Shaquille O'Neal's membership in Boston Celtics from 2010 to 2011. I will check the next statement for the Los Angeles Lakers membership.

[Assistant] The third statement is about Shaquille O'Neal's membership in Cleveland Cavaliers from 2009 to 2010. I will check the next statement for the Los Angeles Lakers membership.

[Assistant]
Shaquille O'Neal was a member of the Los Angeles Lakers from 1996 to July 14, 2004.

Now I will check the membership period of Kobe Bryant in the Los Angeles Lakers. I will look for the statements for Kobe Bryant's membership in the Los Angeles Lakers.

wd:Q25369

[Assistant]
There are no direct statements for Kobe Bryant's membership in the Los Angeles Lakers with qualifiers. I will check all statements for P54 (member of sports team) for Kobe Bryant to find the relevant one with qualifiers.

wd:Q25369

[Assistant]
Kobe Bryant was a member of the Los Angeles Lakers from 1996 to 2016.

Since Shaquille O'Neal was a member of the Los Angeles Lakers from 1996 to July 14, 2004, and Kobe Bryant was a member from 1996 to 2016, they were teammates in the year 2000.

I will now formulate the final SPARQL query to confirm this overlap for the year 2000. The query will check if there exists a team for which both Shaquille O'Neal and Kobe Bryant were members with overlapping membership periods that include the year 2000.

execute

SELECT ?team WHERE {
  wd:Q169452 p:P54 ?statement1 .
  ?statement1 ps:P54 ?team ;
              pq:P580 ?start1 ;
              pq:P582 ?end1 .
  wd:Q25369 p:P54 ?statement2 .
  ?statement2 ps:P54 ?team ;
              pq:P580 ?start2 ;
              pq:P582 ?end2 .
  FILTER(?start1 <= "2000-12-31"^^xsd:dateTime && ?end1 >= "2000-01-01"^^xsd:dateTime) .
  FILTER(?start2 <= "2000-12-31"^^xsd:dateTime && ?end2 >= "2000-01-01"^^xsd:dateTime) .
} LIMIT 10

[Assistant]
The previous query did not return results because the end times are stored as dateTime but sometimes only year is given. I will modify the query to handle year-only dates as xsd:gYear or xsd:dateTime and also consider missing end times as ongoing membership.

I will try a more lenient query to check if Shaquille O'Neal and Kobe Bryant were members of the same team with overlapping membership including the year 2000.

SELECT ?team WHERE {
  wd:Q169452 p:P54 ?statement1 .
  ?statement1 ps:P54 ?team .
  OPTIONAL { ?statement1 pq:P580 ?start1 . }
  OPTIONAL { ?statement1 pq:P582 ?end1 . }
  wd:Q25369 p:P54 ?statement2 .
  ?statement2 ps:P54 ?team .
  OPTIONAL { ?statement2 pq:P580 ?start2 . }
  OPTIONAL { ?statement2 pq:P582 ?end2 . }
  FILTER(
    (!BOUND(?start1) || ?start1 <= "2000-12-31"^^xsd:dateTime) &&
    (!BOUND(?end1) || ?end1 >= "2000-01-01"^^xsd:dateTime) &&
    (!BOUND(?start2) || ?start2 <= "2000-12-31"^^xsd:dateTime) &&
    (!BOUND(?end2) || ?end2 >= "2000-01-01"^^xsd:dateTime)
  )
} LIMIT 10

[Assistant]
The lenient query also did not return results, possibly because the dates are stored as xsd:gYear or other formats that are not matching the dateTime filters.

I will try a different approach by checking only the years (as strings) and comparing them as integers for the overlapping period. I will extract the years from the start and end times and check if the year 2000 is within the range.

I will formulate a new query to check if Shaquille O'Neal and Kobe Bryant were teammates in the year 2000 by comparing the years of their membership in the same team.

SELECT ?team WHERE {
  wd:Q169452 p:P54 ?statement1 .
  ?statement1 ps:P54 ?team ;
              pq:P580 ?start1 ;
              pq:P582 ?end1 .
  wd:Q25369 p:P54 ?statement2 .
  ?statement2 ps:P54 ?team ;
              pq:P580 ?start2 ;
              pq:P582 ?end2 .
  BIND(xsd:integer(SUBSTR(STR(?start1), 1, 4)) AS ?startYear1) .
  BIND(xsd:integer(SUBSTR(STR(?end1), 1, 4)) AS ?endYear1) .
  BIND(xsd:integer(SUBSTR(STR(?start2), 1, 4)) AS ?startYear2) .
  BIND(xsd:integer(SUBSTR(STR(?end2), 1, 4)) AS ?endYear2) .
  FILTER(?startYear1 <= 2000 && ?endYear1 >= 2000 && ?startYear2 <= 2000 && ?endYear2 >= 2000) .
} LIMIT 10

[Assistant]
answer

SELECT ?team WHERE {
  wd:Q169452 p:P54 ?statement1 .
  ?statement1 ps:P54 ?team ;
              pq:P580 ?start1 ;
              pq:P582 ?end1 .
  wd:Q25369 p:P54 ?statement2 .
  ?statement2 ps:P54 ?team ;
              pq:P580 ?start2 ;
              pq:P582 ?end2 .
  BIND(xsd:integer(SUBSTR(STR(?start1), 1, 4)) AS ?startYear1) .
  BIND(xsd:integer(SUBSTR(STR(?end1), 1, 4)) AS ?endYear1) .
  BIND(xsd:integer(SUBSTR(STR(?start2), 1, 4)) AS ?startYear2) .
  BIND(xsd:integer(SUBSTR(STR(?end2), 1, 4)) AS ?endYear2) .
  FILTER(?startYear1 <= 2000 && ?endYear1 >= 2000 && ?startYear2 <= 2000 && ?endYear2 >= 2000) .
} LIMIT 10

Answer: Yes, Shaquille O'Neal was a teammate of Kobe Bryant in the year 2000 on the Los Angeles Lakers.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?city ) AS ?cityCount ) WHERE {
  wd:Q1144286 wdt:P527 ?city .
  ?city wdt:P31 / wdt:P279 * wd:Q515 .
}

Using entities:
- Pearl River Delta (wd:Q1144286), also known as Canton River, Zhujiang Kou: is instance of river delta / is instance of free economic zone / low-lying area surrounding the Pearl River estuary
- city (wd:Q515), also known as cities: is instance of classification of human settlements / is subclass of urban settlement / is subclass of city or town / large human settlement / large human settlement

Using properties:
- subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.: this item is a subclass (subset) of that item; ALL instances ... of volcanic landform); Everest is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform
- has part(s) (wd:P527 as wdt), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject, also valuable subclass or exemplar. Inverse property of "part of". / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

Got 1 row and 1 column:
| cityCount    |
| ------------ |
| 14 (xsd:int) |

Answer: There are 14 cities that are part of the Pearl River Delta.

There are 14 cities that are part of the Pearl River Delta.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?city ) AS ?cityCount ) WHERE {
  wd:Q1144286 wdt:P527 ?city .
  ?city wdt:P31 / wdt:P279 * wd:Q515 .
}

Using entities:
- Pearl River Delta (wd:Q1144286), also known as Canton River, Zhujiang Kou: is instance of river delta / is instance of free economic zone / low-lying area surrounding the Pearl River estuary
- city (wd:Q515), also known as cities: is instance of classification of human settlements / is subclass of urban settlement / is subclass of city or town / large human settlement / large human settlement

Using properties:
- subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.: this item is a subclass (subset) of that item; ALL instances ... of volcanic landform); Everest is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform
- has part(s) (wd:P527 as wdt), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject, also valuable subclass or exemplar. Inverse property of "part of". / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

Execution result:
Got 1 row and 1 column:
| cityCount    |
| ------------ |
| 14 (xsd:int) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How many cities are part of the Pearl River Delta?

[Assistant]
Step 1: Identify the entity "Pearl River Delta" in Wikidata. I will search for this entity first.

Question: Pearl River Delta

Top 10 entity alternatives:
1. Pearl River Delta (wd:Q1144286), also known as Canton River, Zhujiang Kou: low-lying area surrounding the Pearl River estuary / is instance of free economic zone / is instance of river delta
2. Hong Kong–Zhuhai–Macau Bridge (wd:Q1191515, matched via Pearl River Delta bridge), also known as Gǎngzhū'ào Dàqiáo, HKZMB, Hong Kong-Macau bridge, Hong Kong-Macau tunnel, Hong Kong-Zhuhai Bridge, etc.: fixed link consisting of tunnel and multiple bridges / is instance of transport megaproject / is instance of bridge–tunnel
3. Pearl River Delta Economic Zone (wd:Q7158154): Economic region in southeastern China / is instance of economic region
4. Foshan Gaoming International Airport (wd:Q59569145, matched via Pearl River Delta International Airport), also known as Pearl River Delta International Airport: is instance of proposed airport / proposed airport in China
5. Tastefully in Pearl River Delta (wd:Q10921831): is instance of television programme / is instance of television program
6. G94 Pearl River Delta Ring Expressway (wd:Q594813): beltway connecting Hong Kong and Macau SARs, and cities near Zhujiangkou in Guangdong / is instance of motorway ring road
7. Geology of the Pearl River Delta (wd:Q123455489): is instance of geological formation
8. Pearl River Delta Metropolitan Region Intercity Railway (wd:Q4121252), also known as PRDIR: is instance of commuter rail network / Regional rail network in South China
9. Guangdong Pearl River Delta Intercity Railway Co., Ltd. (wd:Q116828690), also known as PRDIR: company in Guangzhou, China / is instance of business
10. Pearl River Delta’s Regional Differentiation and Synergy (wd:Q119500806): scholarly article in Jinan Journal (Philosophy & Social Science Edition), no. 6, 2010 / is instance of scholarly article / is instance of academic article

[Assistant]
The entity "Pearl River Delta" corresponds to wd:Q1144286 in Wikidata.

Step 2: Determine the property that links cities to the Pearl River Delta. We want to find cities that are part of this delta. This could be represented by properties like "located in the administrative territorial entity" or "part of" or similar. I will search for properties related to "part of" or "located in" for the entity Pearl River Delta.

Question: part of

Top 10 property alternatives:
1. has part(s) (wd:P527 as wdt/p, matched via includes part), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject, also valuable subclass or exemplar. Inverse property of "part of".
2. located in the administrative territorial entity (wd:P131 as wdt/p, matched via in), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / is subproperty of location / is subproperty of part of
3. instance of (wd:P31 as wdt/p, matched via is an), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
4. different from (wd:P1889 as wdt/p, matched via not), also known as confused with, differs from, disambiguated from, distinct from, distinguished from, etc.: item that is different from another item, with which it is often confused / item that is different from another item, with which it may be confused
5. topic's main category (wd:P910 as wdt/p, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
6. coordinate location (wd:P625 as wdt/p, matched via position), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject
7. FAST ID (wd:P2163 as wdtn/wdt/p, matched via fst), also known as Faceted Application of Subject Terminology ID, FAST subject heading, fst, worldcat.org/fast, P2163: authority control identifier in WorldCat's “FAST Linked Data” authority file / authority control identifier in WorldCat's “FAST Linked Data” authority file
8. Commons category (wd:P373 as wdt/p, matched via category Commons), also known as category Commons, category on Commons, category on Wikimedia Commons, category Wikipedia Commons, commonscat, etc.: name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category")
9. country (wd:P17 as wdt/p, matched via state), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
10. image (wd:P18 as wdt/p, matched via illustration), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)

No other items found

[Assistant]
The property "has part(s)" (wdt:P527) seems to be the inverse of "part of" and could indicate parts of the Pearl River Delta. This might be used to list cities or other entities that are part of the delta.

Step 3: Check what parts are listed under the Pearl River Delta using the property "has part(s)" (wdt:P527). This will help identify if cities are directly linked as parts.

execute

SELECT ?part ?partLabel WHERE { wd:Q1144286 wdt:P527 ?part . OPTIONAL { ?part rdfs:label ?partLabel FILTER (LANG(?partLabel) = "en") } }

Got 3 rows and 2 columns:
| part                  | partLabel           |
| --------------------- | ------------------- |
| Shenzhen (wd:Q15174)  | Shenzhen (lang:en)  |
| Guangzhou (wd:Q16572) | Guangzhou (lang:en) |
| Zhuhai (wd:Q59095)    | Zhuhai (lang:en)    |

[Assistant]
The Pearl River Delta (wd:Q1144286) has parts that include the cities Shenzhen (wd:Q15174), Guangzhou (wd:Q16572), and Zhuhai (wd:Q59095).

Step 4: To answer the question "How many cities are part of the Pearl River Delta?", I will count the number of parts that are instances of "city" or subclasses of city. I will refine the query to count the parts that are cities.

SELECT (COUNT(?city) AS ?cityCount) WHERE { wd:Q1144286 wdt:P527 ?city . ?city wdt:P31/wdt:P279* wd:Q515 . }

Got 1 row and 1 column:
| cityCount    |
| ------------ |
| 14 (xsd:int) |

[Assistant]
answer

SELECT (COUNT(?city) AS ?cityCount) WHERE { wd:Q1144286 wdt:P527 ?city . ?city wdt:P31/wdt:P279* wd:Q515 . }

Answer: There are 14 cities that are part of the Pearl River Delta.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?publisher ?publisherLabel WHERE {
  wd:Q2357719 wdt:P123 ?publisher .
  OPTIONAL {
    ?publisher rdfs:label ?publisherLabel FILTER ( LANG( ?publisherLabel ) = "en" )
  }
}

Using entities:
- Smite (wd:Q2357719): is instance of esports discipline / is instance of video game / 2014 video game

Using properties:
- publisher (wd:P123 as wdt), also known as board game publisher, book publisher, comic book publisher, comic publisher, music publisher, etc.: organisation or person responsible for publishing books, periodicals, games or software / organization or person responsible for publishing books, periodicals, games or software / organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software

Answer: The publisher of Smite is Hi-Rez Studios.

The publisher of Smite is Hi-Rez Studios.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?publisher ?publisherLabel WHERE {
  wd:Q2357719 wdt:P123 ?publisher .
  OPTIONAL {
    ?publisher rdfs:label ?publisherLabel FILTER ( LANG( ?publisherLabel ) = "en" )
  }
}

Using entities:
- Smite (wd:Q2357719): is instance of esports discipline / is instance of video game / 2014 video game

Using properties:
- publisher (wd:P123 as wdt), also known as board game publisher, book publisher, comic book publisher, comic publisher, music publisher, etc.: organisation or person responsible for publishing books, periodicals, games or software / organization or person responsible for publishing books, periodicals, games or software / organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software

Execution result:
Got 1 row and 2 columns:
| publisher                    | publisherLabel           |
| ---------------------------- | ------------------------ |
| Hi-Rez Studios (wd:Q5750244) | Hi-Rez Studios (lang:en) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Who is the publisher of Smite ?

[Assistant]
To answer the question "Who is the publisher of Smite?", I need to identify the entity for "Smite" and the property related to its publisher in the knowledge graph.

Step 1: Search for the entity "Smite" in Wikidata.

Question: Smite

Top 10 entity alternatives:
1. Smite (wd:Q2357719): is instance of esports discipline / is instance of video game / 2014 video game
2. dueling scar (wd:Q340053, matched via smite), also known as bragging scar, Mensur scar, smite: facial scars left by the sport of academic fencing / is subclass of scar
3. Dagnija Šmite (wd:Q36541227, matched via Šmite), also known as Šmite: has occupation botanist / is instance of human / botanist
4. Šmite (wd:Q124734370): is instance of family name / is instance of surname / family name / family name / surname
5. Smite (wd:Q129875391): is instance of video game series / video game series
6. Smite (wd:Q114552397): is instance of television series episode / episode of Sons of Anarchy (S2 E5)
7. Smite River (wd:Q7544835): is instance of river / river in New Zealand
8. Emīlija Šmite (wd:Q28121408): has occupation chess player / is instance of human / Latvian chess player
9. River Smite (wd:Q21061511): river in Nottinghamshire and Leicestershire, United Kingdom / is instance of tributary
10. Šmitek (wd:Q12807255): is instance of family name / is instance of surname / family name / family name / surname

[Assistant]
The entity "Smite" as a video game is identified as wd:Q2357719 in Wikidata. Next, I need to find the property that relates a video game to its publisher.

Step 2: Search for properties related to "publisher" for the entity "Smite" (wd:Q2357719).

Question: publisher

Top 10 property alternatives:
1. publisher (wd:P123 as wdt/p), also known as board game publisher, book publisher, comic book publisher, comic publisher, music publisher, etc.: organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software / organisation or person responsible for publishing books, periodicals, games or software / organization or person responsible for publishing books, periodicals, games or software
2. publication date (wd:P577 as wdt/p, matched via publication), also known as air date, airdate, be published during, be published in, broadcast date, etc.: date or point in time when a work was first published or released / date or point in time a work is first published or released / date or point in time a work is first published or released / is subproperty of point in time
3. distribution format (wd:P437 as wdt/p, matched via edition), also known as book format, distribution, distribution method, edition, format, etc.: method (or type) of distribution for the subject / method (or type) of distribution for the subject
4. platform (wd:P400 as wdt/p, matched via published on), also known as computing platform, environment, game platform, hardware, platforms, etc.: platform for which a work has been developed or released / specific platform version of a software developed / platform for which a work was developed or released, or the specific platform version of a software product
5. distributed by (wd:P750 as wdt/p, matched via distributor), also known as distributor, P750: distributor of a creative work; distributor for a record label; news agency; film distributor / distributor of a creative work; distributor for a record label; news agency; film distributor
6. developer (wd:P178 as wdt/p, matched via written by), also known as created by, dev, developed by, game dev, game developer, etc.: organisation or person that developed this item / organization or person that developed the item / is subproperty of creator
7. logo image (wd:P154 as wdt/p, matched via mark), also known as insignia, logo, logomark, mark, marque, etc.: graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / is subproperty of icon
8. genre (wd:P136 as wdt/p), also known as artistic genre, art style, film genre, genre of literature, genre of music, etc.: creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic / genre of a creative work or genre in which an artist works
9. social media followers (wd:P8687 as wdt/p, matched via followers), also known as follow count, follower count, follower number, followers, follow number, etc.: number of subscribers on a particular social media website ... time" and property for account. For Twitter, use numeric id.
10. title (wd:P1476 as wdt/p, matched via name), also known as article title, full title, headline, known as, name, etc.: published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / is subproperty of name

No other items found

[Assistant]
The property "publisher" (wdt:P123) is the appropriate property to find the publisher of the video game Smite (wd:Q2357719).

Step 3: Query the publisher of Smite using the property wdt:P123.

execute

SELECT ?publisher ?publisherLabel WHERE { wd:Q2357719 wdt:P123 ?publisher . OPTIONAL { ?publisher rdfs:label ?publisherLabel FILTER(LANG(?publisherLabel) = "en") } }

[Assistant]
answer

SELECT ?publisher ?publisherLabel WHERE { wd:Q2357719 wdt:P123 ?publisher . OPTIONAL { ?publisher rdfs:label ?publisherLabel FILTER(LANG(?publisherLabel) = "en") } }

Answer: The publisher of Smite is Hi-Rez Studios.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?skiResort ) AS ?count ) WHERE {
  ?skiResort wdt:P31 wd:Q130003 ; wdt:P17 wd:Q142 .
}

Using entities:
- ski resort (wd:Q130003), also known as ski field, skifield, skiing centre, ski station, winter sports resort: is subclass of nordic ski area / is subclass of mountain resort / mountainside developed for skiing, snowboarding, and other winter sports
- France (wd:Q142), also known as FR, FRA, French Republic: is instance of sovereign state / is instance of country / is instance of republic / is instance of Republic / country in Western Europe / country in Western Europe / country with territory in Europe and several overseas regions and territories / republic in Western Europe

Using properties:
- country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17: is subproperty of located in the administrative territorial entity / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings)
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform

Answer: There have been 262 ski resorts in France according to Wikidata.

There have been 262 ski resorts in France according to Wikidata.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?skiResort ) AS ?count ) WHERE {
  ?skiResort wdt:P31 wd:Q130003 ; wdt:P17 wd:Q142 .
}

Using entities:
- ski resort (wd:Q130003), also known as ski field, skifield, skiing centre, ski station, winter sports resort: is subclass of nordic ski area / is subclass of mountain resort / mountainside developed for skiing, snowboarding, and other winter sports
- France (wd:Q142), also known as FR, FRA, French Republic: is instance of sovereign state / is instance of country / is instance of republic / is instance of Republic / country in Western Europe / country in Western Europe / country with territory in Europe and several overseas regions and territories / republic in Western Europe

Using properties:
- country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17: is subproperty of located in the administrative territorial entity / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings)
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform

Execution result:
Got 1 row and 1 column:
| count         |
| ------------- |
| 262 (xsd:int) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How many ski resorts were there ever in France?

[Assistant]
To answer the question "How many ski resorts were there ever in France?", I need to identify entities related to "ski resorts" and the country "France" in the knowledge graph. Then I will count the number of such entities that are or were located in France.

Step 1: Search for the entity "ski resort" in Wikidata to get its identifier.
Step 2: Search for the entity "France" in Wikidata to get its identifier.
Step 3: Find ski resorts located in France, including those that might no longer be operational (historical or former ski resorts).
Step 4: Count the total number of such ski resorts.

I will start with Step 1 and search for the entity "ski resort" in Wikidata.

Question: ski resort

Top 10 entity alternatives:
1. ski resort (wd:Q130003), also known as ski field, skifield, skiing centre, ski station, winter sports resort: mountainside developed for skiing, snowboarding, and other winter sports / is subclass of nordic ski area / is subclass of mountain resort
2. Dizin Ski Resort (wd:Q259613), also known as Dizin: ski resort in Karaj County, Iran / is instance of ski resort
3. Sundance Resort (wd:Q2027196, matched via Sundance Ski Resort), also known as Sundance Mountain Resort, Sundance Ski Area, Sundance Ski Resort: resort in the Wasatch Range in Utah County, Utah, United States / is instance of mountain resort / is instance of ski resort
4. Masikryong Ski Resort (wd:Q16602030): Ski resort in Kangwon-do, North Korea / is instance of ski resort
5. Yabuli Ski Resort (wd:Q1005993): is instance of ski resort / ski resort in China
6. Candanchú ski resort (wd:Q588136), also known as Candanchu, Candanchú: is instance of ski resort / ski resort in Spain
7. Perisher Ski Resort (wd:Q1629394): is instance of ski resort / Australian ski resort
8. Brezovica Ski Resort (wd:Q16953614), also known as Brezovica Ski Center: is instance of ski resort / Ski resort in Kosovo
9. Darbandsar Ski Resort (wd:Q5875140): is instance of ski resort / ski resort in Iran
10. Naeba Ski Resort (wd:Q3268287): is instance of ski resort / ski resort in Japan

[Assistant]
The entity "ski resort" exists in Wikidata with the identifier wd:Q130003. Next, I will search for the entity "France" in Wikidata to get its identifier.

Question: France

Top 10 entity alternatives:
1. France (wd:Q142), also known as FR, FRA, French Republic: country with territory in Europe and several overseas regions and territories / is instance of sovereign state / republic in Western Europe / country in Western Europe / country in Western Europe / is instance of republic / is instance of Republic / is instance of country
2. France men's national association football team (wd:Q47774, matched via France), also known as France, France men's national football team, France national association football team, France national football team, France national soccer team, etc.: national association football team representing France / national association football team representing France / is instance of national association football team / is subclass of national association football team / is instance of national soccer team / is subclass of national soccer team / national association football team / national association football team
3. French Fifth Republic (wd:Q200686, matched via France), also known as 5th French Republic, 5th Republic, Fifth French Republic, Fifth Republic, France, etc.: current system of government of France (1958–present) / is instance of republic regime in France
4. Bourbon Restoration in France (wd:Q207162, matched via France), also known as France, Kingdom of France: period of French history, 1814–1830 / is instance of historical country / is instance of regime
5. French Community (wd:Q1120363, matched via France), also known as France: International political association / is instance of coalition
6. France at the 2008 Summer Olympics (wd:Q146845, matched via France), also known as France: is instance of Olympic delegation / sporting event delegation
7. France (wd:Q49644), also known as French battleship France: 1912 Courbet-class battleship / is instance of dreadnought
8. France (wd:Q76488728), also known as On a Half Clear Morning: 2021 film directed by Bruno Dumont / is instance of film
9. La France (wd:Q3209212, matched via France), also known as France: 2007 film by Serge Bozon / is instance of film
10. France (wd:Q5478259): is instance of constituency of the European Parliament / constituency of the European Parliament

[Assistant]
The entity "France" exists in Wikidata with the identifier wd:Q142.

Next, I will find ski resorts located in France. I will look for instances of ski resorts (wd:Q130003) that have a location or country property pointing to France (wd:Q142). This will help me find ski resorts that are or were in France. I will start with a simple query to get some ski resorts in France.

execute

SELECT ?skiResort ?skiResortLabel WHERE {
  ?skiResort wdt:P31 wd:Q130003;  # instance of ski resort
             wdt:P17 wd:Q142.      # country France
  OPTIONAL { ?skiResort rdfs:label ?skiResortLabel FILTER(LANG(?skiResortLabel) = "en") }
} LIMIT 10

Got 10 rows and 2 columns:
| skiResort                                  | skiResortLabel                       |
| ------------------------------------------ | ------------------------------------ |
| Val Thorens (wd:Q1026835)                  | Val Thorens (lang:en)                |
| Domaine nordique du Meygal (wd:Q104666663) | Domaine nordique du Meygal (lang:en) |
| La Rosière (wd:Q1058626)                   | La Rosière (lang:en)                 |
| Tignes Val Claret (wd:Q107451789)          | Tignes Val Claret (lang:en)          |
| Saint-Michel-de-Chaillol (wd:Q1085709)     | Saint-Michel-de-Chaillol (lang:en)   |
| Saint-Léger-les-Mélèzes (wd:Q1085971)      | Saint-Léger-les-Mélèzes (lang:en)    |
| Puy-Saint-Vincent (wd:Q1086218)            | Puy-Saint-Vincent (lang:en)          |
| Réallon (wd:Q1086638)                      | Réallon (lang:en)                    |
| Les Orres (wd:Q1086670)                    | Les Orres (lang:en)                  |
| Molines-en-Queyras (wd:Q1087781)           | Molines-en-Queyras (lang:en)         |

[Assistant]
I found some ski resorts located in France. Now, I need to count how many ski resorts there are or were in France, including possibly former or historical ski resorts.

To do this, I will count all instances of ski resorts (wd:Q130003) that have a country property (wdt:P17) pointing to France (wd:Q142). This should include all ski resorts ever in France.

I will run a count query for this.

SELECT (COUNT(DISTINCT ?skiResort) AS ?count) WHERE {
  ?skiResort wdt:P31 wd:Q130003;  # instance of ski resort
             wdt:P17 wd:Q142.      # country France
}

[Assistant]
answer

SELECT (COUNT(DISTINCT ?skiResort) AS ?count) WHERE {
  ?skiResort wdt:P31 wd:Q130003;  # instance of ski resort
             wdt:P17 wd:Q142.      # country France
}

Answer: There have been 262 ski resorts in France according to Wikidata.