PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?award ?awardLabel WHERE {
  wd:Q7197 wdt:P1411 ?award .
  ?award wdt:P31 / wdt:P279 * wd:Q618779 .
  OPTIONAL {
    ?award rdfs:label ?awardLabel FILTER ( LANG( ?awardLabel ) = "en" )
  }
}

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

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

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

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

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

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

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

[Assistant] To answer the question "For what literature prize was Simone de Beauvoir nominated?", I will first identify the entity for Simone de Beauvoir in Wikidata. Then, I will look for properties related to nominations or awards for literature prizes associated with her.

[Tool]
Top 10 entity alternatives:
1. Simone de Beauvoir (wd:Q7197): French philosopher, social theorist and activist (1908–1986), political philosopher, women letter writer, philosophy teacher, political activist, literary critic, autobiographer, philosopher, journalist, novelist, feminist, essayist, diarist, author, writer
2. Simone de Beauvoir (wd:Q66049034): 1979 documentary film directed by Josée Dayan
3. Simone de Beauvoir (wd:Q87280632): episode of In Our Time
4. Simone de Beauvoir Prize (wd:Q2316171)
5. Simone de Beauvoir Park, also known as Fontainas Park (wd:Q23796565): park in Brussels, Belgium
6. allée Simone de Beauvoir (wd:Q111916916): alley in Arcueil, France
7. mail Simone de Beauvoir (wd:Q113391499): street in Bobigny, France
8. place Simone de Beauvoir (wd:Q113414051): square in Stains, en Seine-Saint-Denis
9. rue Simone de Beauvoir (wd:Q111302129): street in Bondy, France
10. rue Simone de Beauvoir (wd:Q111847967): street in Limeil-Brévannes, France

[Assistant] The entity for Simone de Beauvoir is wd:Q7197. Next, I will search for properties related to nominations or awards for literature prizes associated with Simone de Beauvoir. I will start by searching for properties related to "nominated" or "nomination" for this entity.

[Tool]
Top 10 property alternatives:
1. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as wdt/p): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
2. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
3. Nobel Prize People Nomination ID (wd:P3360 as wdt/p): identifier for a person who nominated someone, or who was nominated, for a Nobel Prize
4. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
5. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as wdt/p): person linked to the item in any possible way
6. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt/p): notable scientific, artistic or literary work, or other work of significance among subject's works
7. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt/p): educational institution attended by subject, affiliation
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
9. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as wdt/p): name the subject is known by; preferably use a more specific subproperty if available
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category

No other items found

[Assistant] The property "nominated for" (wdt:P1411) is the relevant property for award nominations. Now I will query which literature prizes Simone de Beauvoir (wd:Q7197) was nominated for using this property.

[Tool]
Got 1 row and 2 columns:
| ?award                                | ?awardLabel               |
| ------------------------------------- | ------------------------- |
| Nobel Prize in Literature (wd:Q37922) | Nobel Prize in Literature |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?movie ?movieLabel WHERE {
  wd:Q169604 wdt:P527 ?movie .
  OPTIONAL {
    ?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   |
| Hot Fuzz (wd:Q729788)          | Hot Fuzz          |
| Shaun of the Dead (wd:Q858724) | Shaun of the Dead |

The movies that belong to the Cornetto trilogy are "Shaun of the Dead", "Hot Fuzz", and "The World's End".

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

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

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

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

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

[User] Which movies belong to the Cornetto trilogy ?

[Assistant] To answer the question about which movies belong to the Cornetto trilogy, I will first search for the entity "Cornetto trilogy" in Wikidata to identify its identifier. Then, I will look for the movies that are part of this trilogy.

[Tool]
Top 10 entity alternatives:
1. Three Flavours Cornetto trilogy, also known as Blood and Ice Cream trilogy, Cornetto trilogy, The Cornetto Trilogy (wd:Q169604): 2004–2013 three films directed by Edgar Wright
2. trilogy (wd:Q149010): set of three works of art that are connected
3. cornett, also known as zink, cornetto (wd:Q204638): early wind instrument with a cup mouthpiece
4. Trilogy (wd:Q930723): 1972 studio album by Emerson, Lake & Palmer
5. Cornetto, also known as Drumstick (ice cream) (wd:Q1899311): type of ice cream
6. Trilogy (wd:Q1753107): Yngwie Malmsteen studio album
7. Trilogy (wd:Q7842079): 2012 compilation album by the Weeknd
8. cornetto (wd:Q15629893): pastry similar to a croissant
9. Trilogy (wd:Q1041486): ATB album
10. Cornetto (wd:Q5171700): human settlement in Città di Castello, Province of Perugia, Umbria, Italy

[Assistant] The entity "Three Flavours Cornetto trilogy" (wd:Q169604) corresponds to the Cornetto trilogy. Now I will find the movies that belong to this trilogy. I will look for the property that links this trilogy to its movies.

[Tool]
Got 157 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            |
| 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     |
| 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)       |
| Three Flavours Cornetto trilogy (wd:Q169604) | distributed by (wdt:P750)                       | Universal Pictures (wd:Q168383) |
| ...                                          | ...                                             | ...                             |

[Assistant] The property "has part(s)" (wdt:P527) links the Cornetto trilogy (wd:Q169604) to its movies. The first movie listed is "Shaun of the Dead" (wd:Q858724). I will now query all movies that are part of the Cornetto trilogy using this property.

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

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
ASK WHERE {
  wd:Q169452 p:P54 ?statement1 .
  ?statement1 ps:P54 wd:Q121783 ; pq:P580 ?start1 ; pq:P582 ?end1 .
  wd:Q25369 p:P54 ?statement2 .
  ?statement2 ps:P54 wd:Q121783 ; 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 )
}

Yes, Shaquille O'Neal was the teammate of Kobe Bryant in the year 2000 as they both played for the Los Angeles Lakers during that time.

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

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

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

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

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

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

[Assistant]
To answer this question, I need to check if Shaquille O'Neal and Kobe Bryant were teammates in the year 2000. This involves verifying if they played for the same basketball team during that year.

Step 1: Identify the entities for Shaquille O'Neal and Kobe Bryant in Wikidata.
Step 2: Identify the teams they played for in the year 2000.
Step 3: Check if there is an overlap in the teams they played for in that year.

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

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

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

[Assistant] I have identified the entities for Shaquille O'Neal (wd:Q169452) and Kobe Bryant (wd:Q25369). Next, I will check the teams they played for in the year 2000 to see if they were teammates. I will start by checking the teams Shaquille O'Neal played for in the year 2000.

[Tool]
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) | 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) | Orlando Magic (wd:Q161337)                |
| 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 during his career, including the Los Angeles Lakers, Boston Celtics, Cleveland Cavaliers, Phoenix Suns, Orlando Magic, Miami Heat, and LSU Tigers men's basketball team. Now, I will check the teams Kobe Bryant played for.

[Tool]
Got 1 row and 3 columns:
| subject                 | property                        | object                          |
| ----------------------- | ------------------------------- | ------------------------------- |
| Kobe Bryant (wd:Q25369) | member of sports team (wdt:P54) | Los Angeles Lakers (wd:Q121783) |

[Assistant]
Kobe Bryant was a member of the Los Angeles Lakers. Since Shaquille O'Neal was also a member of the Los Angeles Lakers, I need to verify if both were members of the Los Angeles Lakers specifically in the year 2000.

I will now check the membership dates for Shaquille O'Neal's membership in the Los Angeles Lakers.

[Tool]
Got 8 rows and 3 columns:
| subject                       | property                      | object                                         |
| ----------------------------- | ----------------------------- | ---------------------------------------------- |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B |

[Assistant] Shaquille O'Neal has several statements about being a member of sports teams with qualifiers. I will now check the details of the statement about his membership in the Los Angeles Lakers to find the time period.

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                                    |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------------- |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | member of sports team (ps:P54)                 | LSU Tigers men's basketball (wd:Q6460027) |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | start time (pq:P580)                           | 1989-01-01T00:00:00Z                      |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | end time (pq:P582)                             | 1992-01-01T00:00:00Z                      |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | position played on team / speciality (pq:P413) | center (wd:Q222052)                       |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | sport number (pq:P1618)                        | 33                                        |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | wikibase:rank                                  | wikibase:NormalRank                       |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | rdf:type                                       | wikibase:BestRank                         |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | start time (pqv:P580)                          | v:9930877c43e09a3dd26a2b4a0d5aa9c8        |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | end time (pqv:P582)                            | v:db46b10f4b1283c7fb7d0caafac6e7c8        |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | rdf:type                                       | wikibase:Statement                        |

[Assistant]
The statement s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 is about Shaquille O'Neal's membership in LSU Tigers men's basketball from 1989 to 1992, which is not the Los Angeles Lakers.

I will check the other statements to find the one related to the Los Angeles Lakers.

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                             |
| ---------------------------------------------- | ---------------------------------------------- | ---------------------------------- |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | member of sports team (ps:P54)                 | Boston Celtics (wd:Q131371)        |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | start time (pq:P580)                           | 2010-01-01T00:00:00Z               |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | end time (pq:P582)                             | 2011-01-01T00:00:00Z               |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | position played on team / speciality (pq:P413) | center (wd:Q222052)                |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | sport number (pq:P1618)                        | 36                                 |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | wikibase:rank                                  | wikibase:NormalRank                |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | rdf:type                                       | wikibase:BestRank                  |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | start time (pqv:P580)                          | v:4f272fae38ee73a331afd0407cdc74b9 |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | end time (pqv:P582)                            | v:19fb1e607fb895edac44d92bd9141272 |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | rdf:type                                       | wikibase:Statement                 |

[Assistant]
The statement s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED is about Shaquille O'Neal's membership in the Boston Celtics from 2010 to 2011, which is not the Los Angeles Lakers.

I will continue checking the other statements to find the one related to the Los Angeles Lakers.

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                             |
| ---------------------------------------------- | ---------------------------------------------- | ---------------------------------- |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | member of sports team (ps:P54)                 | Cleveland Cavaliers (wd:Q162990)   |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | start time (pq:P580)                           | 2009-01-01T00:00:00Z               |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | end time (pq:P582)                             | 2010-01-01T00:00:00Z               |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | position played on team / speciality (pq:P413) | center (wd:Q222052)                |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | sport number (pq:P1618)                        | 33                                 |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | wikibase:rank                                  | wikibase:NormalRank                |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | rdf:type                                       | wikibase:BestRank                  |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | start time (pqv:P580)                          | v:fc1d2395f6a4679c97b3b7f23f202c19 |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | end time (pqv:P582)                            | v:4f272fae38ee73a331afd0407cdc74b9 |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | rdf:type                                       | wikibase:Statement                 |

[Assistant]
The statement s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 is about Shaquille O'Neal's membership in the Cleveland Cavaliers from 2009 to 2010, which is not the Los Angeles Lakers.

I will continue checking the other statements to find the one related to the Los Angeles Lakers.

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                             |
| ---------------------------------------------- | ---------------------------------------------- | ---------------------------------- |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | member of sports team (ps:P54)                 | Los Angeles Lakers (wd:Q121783)    |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | start time (pq:P580)                           | 1996-01-01T00:00:00Z               |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | end time (pq:P582)                             | 2004-07-14T00:00:00Z               |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | position played on team / speciality (pq:P413) | center (wd:Q222052)                |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | sport number (pq:P1618)                        | 34                                 |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | wikibase:rank                                  | wikibase:NormalRank                |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | rdf:type                                       | wikibase:BestRank                  |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | start time (pqv:P580)                          | v:d49b98a030ea836c922381a07d3a55a5 |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | end time (pqv:P582)                            | v:b5ff01e96ebedaa0a614a99ae12e187f |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | rdf:type                                       | wikibase:Statement                 |

[Assistant] Shaquille O'Neal was a member of the Los Angeles Lakers from January 1, 1996, to July 14, 2004. Now I will check the membership dates for Kobe Bryant in the Los Angeles Lakers.

[Tool] Got no rows and 3 columns

[Assistant] I did not find any statement with the subject "s:Q25369-1" for Kobe Bryant. I will try to list the statements about Kobe Bryant's membership in sports teams with qualifiers to find the relevant statement about his membership in the Los Angeles Lakers.

[Tool]
Got 1 row and 3 columns:
| subject                 | property                      | object                                        |
| ----------------------- | ----------------------------- | --------------------------------------------- |
| Kobe Bryant (wd:Q25369) | member of sports team (p:P54) | s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB |

[Tool]
Got 10 rows and 3 columns:
| subject                                       | property                                       | object                             |
| --------------------------------------------- | ---------------------------------------------- | ---------------------------------- |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | member of sports team (ps:P54)                 | Los Angeles Lakers (wd:Q121783)    |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | start time (pq:P580)                           | 1996-01-01T00:00:00Z               |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | end time (pq:P582)                             | 2016-01-01T00:00:00Z               |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | position played on team / speciality (pq:P413) | shooting guard (wd:Q273199)        |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | sport number (pq:P1618)                        | 24                                 |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | wikibase:rank                                  | wikibase:NormalRank                |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | rdf:type                                       | wikibase:BestRank                  |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | start time (pqv:P580)                          | v:d49b98a030ea836c922381a07d3a55a5 |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | end time (pqv:P582)                            | v:864c28093f3e70d5e1967de207df801e |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | rdf:type                                       | wikibase:Statement                 |

[Assistant]
Kobe Bryant was a member of the Los Angeles Lakers from January 1, 1996, to January 1, 2016.

Since Shaquille O'Neal was a member of the Los Angeles Lakers from January 1, 1996, to July 14, 2004, and Kobe Bryant was a member of the same team from January 1, 1996, to January 1, 2016, they were teammates in the year 2000.

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?city ) AS ?count ) WHERE {
  ?city wdt:P31 / wdt:P279 * wd:Q515 ; wdt:P361 wd:Q1144286 .
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 7      |

There are 7 distinct cities that are part of the Pearl River Delta according to Wikidata.

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

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

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

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

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

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

[Assistant]
To answer the question "How many cities are part of the Pearl River Delta?", I need to:

1. Identify the entity for "Pearl River Delta" in Wikidata.
2. Find the cities that are part of this geographical region.
3. Count the number of such cities.

First, I will search for the entity "Pearl River Delta" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Pearl River Delta, also known as Canton River, Zhujiang Kou (wd:Q1144286): low-lying area surrounding the Pearl River estuary
2. Hong Kong–Zhuhai–Macau Bridge, also known as Hong Kong-Zhuhai-Macau Bridge, Pearl River Delta bridge, Pearl River Bridge Project, Macau-Hong Kong bridge, HZMB (wd:Q1191515): fixed link consisting of tunnel and multiple bridges
3. Pearl River Delta Economic Zone (wd:Q7158154): Economic region in southeastern China
4. Foshan Gaoming International Airport, also known as Pearl River Delta International Airport (wd:Q59569145): proposed airport in China
5. Tastefully in Pearl River Delta (wd:Q10921831)
6. G94 Pearl River Delta Ring Expressway (wd:Q594813): beltway connecting Hong Kong and Macau SARs, and cities near Zhujiangkou in Guangdong
7. Geology of the Pearl River Delta (wd:Q123455489)
8. Pearl River Delta Metropolitan Region Intercity Railway, also known as PRDIR (wd:Q4121252): Regional rail network in South China
9. Guangdong Pearl River Delta Intercity Railway Co., Ltd., also known as PRDIR (wd:Q116828690): company in Guangzhou, China
10. Pearl River Delta’s Regional Differentiation and Synergy (wd:Q119500806): scholarly article in Jinan Journal (Philosophy & Social Science Edition), no. 6, 2010

[Assistant]
The entity "Pearl River Delta" is identified as wd:Q1144286 in Wikidata. Now, I need to find the cities that are part of this Pearl River Delta region. Typically, the property "located in the administrative territorial entity" (wdt:P131) or "part of" (wdt:P361) can be used to find entities that are part of a larger region.

I will search for cities (instances of city or human settlement) that are located in or part of the Pearl River Delta (wd:Q1144286). I will start by checking for cities that have the Pearl River Delta as their administrative territorial entity or part of property.

[Tool] Got no rows and 1 columns

[Assistant]
No cities were found with the property "located in the administrative territorial entity" (P131) directly pointing to the Pearl River Delta (wd:Q1144286). It is possible that the cities are linked to the Pearl River Delta through a different property or indirectly.

I will try to find cities that are part of the Pearl River Delta using the "part of" (wdt:P361) property.

[Tool]
Got 21 rows and 1 column, showing the first 5 and last 5 rows below:
| ?city                 |
| --------------------- |
| Shenzhen (wd:Q15174)  |
| Shenzhen (wd:Q15174)  |
| Zhongshan (wd:Q59223) |
| Dongguan (wd:Q59218)  |
| Jiangmen (wd:Q59132)  |
| ...                   |
| Dongguan (wd:Q59218)  |
| Jiangmen (wd:Q59132)  |
| Shenzhen (wd:Q15174)  |
| Foshan (wd:Q34412)    |
| Guangzhou (wd:Q16572) |

[Assistant]
I found 21 entries of cities that are part of the Pearl River Delta using the "part of" property. There are some duplicates in the results.

Next, I will count the distinct number of cities that are part of the Pearl River Delta.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 7      |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
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" )
  }
}

The publisher of the video game Smite is Hi-Rez Studios.

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

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

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

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

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

[User] Who is the publisher of Smite ?

[Assistant] To answer the question "Who is the publisher of Smite?", I will first search for the entity "Smite" in Wikidata to identify its unique identifier. Then, I will look for the property related to the publisher of that entity.

[Tool]
Top 10 entity alternatives:
1. Smite (wd:Q2357719): 2014 video game
2. dueling scar, also known as Mensur scar, bragging scar, smite (wd:Q340053): facial scars left by the sport of academic fencing
3. Dagnija Šmite, also known as Šmite (wd:Q36541227): botanist
4. Šmite (wd:Q124734370): family name
5. Smite (wd:Q129875391): video game series
6. Smite (wd:Q114552397): episode of Sons of Anarchy (S2 E5)
7. smite (wd:L27136)
8. smite (wd:L27136-F1)
9. smite (wd:L739220-S1)
10. Smite River (wd:Q7544835): river in New Zealand

[Assistant] The entity "Smite" that refers to the 2014 video game has the identifier wd:Q2357719. Next, I will search for the property related to the publisher of this video game.

[Tool]
Top 10 property alternatives:
1. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as wdt/p): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
2. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as wdt/p): method (or type) of distribution for the subject
3. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
4. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as wdt/p): date or point in time when a work was first published or released, point in time
5. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as wdt/p): platform for which a work was developed or released, or the specific platform version of a software product
6. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
7. distributed by, also known as distributor (wd:P750 as wdt/p): distributor of a creative work; distributor for a record label; news agency; film distributor
8. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
9. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as wdt/p): organization or person that developed the item, creator
10. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as wdt/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))

No other items found

[Assistant] The property "publisher" (wdt:P123) is the relevant property for the publisher of the video game Smite. I will now construct a SPARQL query to find the publisher of Smite (wd:Q2357719) using this property.

[Tool]
Got 1 row and 2 columns:
| ?publisher                   | ?publisherLabel |
| ---------------------------- | --------------- |
| Hi-Rez Studios (wd:Q5750244) | Hi-Rez Studios  |

[Tool] Stopped generation process


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

Got 1 row and 1 column:
| ?count |
| ------ |
| 261    |

There have been 261 ski resorts in France according to Wikidata.

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

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

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

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

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

[User] How many 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 that represent ski resorts and are located in France. Then, I will count the number of such entities.

Step 1: Identify the entity for "ski resort" in Wikidata.
Step 2: Identify the entity for "France" in Wikidata.
Step 3: Query for ski resorts located in France.
Step 4: Count the number of such ski resorts.

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

[Tool]
Top 10 entity alternatives:
1. ski resort, also known as ski field, skifield, skiing centre, ski station, winter sports resort (wd:Q130003): mountainside developed for skiing, snowboarding, and other winter sports
2. Dizin Ski Resort, also known as Dizin (wd:Q259613): ski resort in Karaj County, Iran
3. Masikryong Ski Resort (wd:Q16602030): Ski resort in Kangwon-do, North Korea
4. Sundance Resort, also known as Sundance Ski Resort, Sundance Ski Area, Sundance Mountain Resort (wd:Q2027196): resort in the Wasatch Range in Utah County, Utah, United States
5. Yabuli Ski Resort (wd:Q1005993): ski resort in China
6. Candanchú ski resort, also known as Candanchu, Candanchú (wd:Q588136): ski resort in Spain
7. Perisher Ski Resort (wd:Q1629394): Australian ski resort
8. Brezovica Ski Resort, also known as Brezovica Ski Center (wd:Q16953614): Ski resort in Kosovo
9. Darbandsar Ski Resort (wd:Q5875140): ski resort in Iran
10. Furano Ski Resort (wd:Q5509476): Ski Resort in Furano, Hokkaido

[Assistant]
The entity for "ski resort" in Wikidata is wd:Q130003.

Next, I will search for the entity "France" in Wikidata.

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

[Assistant]
The entity for "France" in Wikidata is wd:Q142.

Now, I will write a SPARQL query to find all ski resorts (wd:Q130003) located in France (wd:Q142) and count them. I will consider the property for location or country to filter ski resorts in France.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 261    |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?director ?directorLabel WHERE {
  wd:Q28091065 wdt:P57 ?director .
  OPTIONAL {
    ?director rdfs:label ?directorLabel FILTER ( LANG( ?directorLabel ) = "en" )
  }
}

The director of the Canadian drama television series "Anne with an E" is Niki Caro.

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

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

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

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

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

[User] Who directed Anne with an E ?

[Assistant]
To answer the question "Who directed Anne with an E?", I need to identify the entity for "Anne with an E" and then find the property related to the director of this entity.

Step 1: Search for the entity "Anne with an E" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Anne with an E (wd:Q28091065): Canadian drama television series
2. Anne Linda Chisa, also known as Anne with an E (wd:Q109236706): South African academic, podcaster
3. Anne with an E, season 1 (wd:Q30897460): Wikimedia list article
4. Anne with an E, season 2 (wd:Q56327877): season of Anne with an E
5. Anne with an E, season 3 (wd:Q97370516): season of Anne with an E
6. An Intimate Evening with Anne Murray (wd:Q4750087): live album
7. Annelid Phylogeny—Molecular Anal...th an Emphasis on Model Annelids (wd:Q57267390): article
8. Hat with Bird: Anne Estelle Rice (wd:Q119158898): painting by John Duncan Fergusson (1874–1961), Kelvingrove Art Gallery and Museum
9. Queery with Cameron Esposito: Anne McClain, also known as Anne McClain (wd:Q117712680): Queery with Cameron Esposito podcast episode
10. Live Body: An interview with Anne Emmanuelle Berger (wd:Q127594883): scholarly article

[Assistant] The entity "Anne with an E" as a Canadian drama television series is identified as wd:Q28091065. Next, I will search for the property that relates to the director of this television series. I will look for properties related to "director" for this entity.

[Tool]
Top 10 property alternatives:
1. director, also known as film director, movie director, game director, directed by (wd:P57 as wdt/p): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
2. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt/p): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
3. screenwriter, also known as story by, teleplay by, video game writer, writer (of screenplays), writing credits (wd:P58 as wdt/p): person(s) who wrote the script for subject item, film crew member, author
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
6. Kinobox film ID, also known as www.kinobox.cz/film/, kinobox.cz/film/, https://www.kinobox.cz/film/ (wd:P12096 as wdt/p): identifier for a film on the Kinobox.cz website
7. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as wdt/p): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
8. Rotten Tomatoes ID, also known as RottenTomatoes ID, Rotten Tomatoes identifier, RottenTomatoes identifier (wd:P1258 as wdt/p): identifier on Rotten Tomatoes
9. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
10. ČSFD film ID, also known as CSFD film ID, ČSFD film identifier (wd:P2529 as wdt/p): identifier for a movie in the Czech-Slovak film database ČSFD

No other items found

[Assistant] The property "director" (wdt:P57) is the appropriate property to find the director(s) of the television series "Anne with an E" (wd:Q28091065). Now, I will write a SPARQL query to get the director(s) of "Anne with an E".

[Tool]
Got 1 row and 2 columns:
| ?director              | ?directorLabel |
| ---------------------- | -------------- |
| Niki Caro (wd:Q449163) | Niki Caro      |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?person ?personLabel WHERE {
  ?person wdt:P20 wd:Q934 .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}

The person who died at the North Pole is Sigizmund Levanevsky.

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

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

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

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

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

[User] Who died at the North Pole?

[Assistant]
To answer the question "Who died at the North Pole?", I need to find entities (people) who have a property indicating their place of death as the North Pole.

Step 1: Identify the entity for "North Pole" in Wikidata.
Step 2: Identify the property for "place of death" in Wikidata.
Step 3: Query for people who have the place of death as the North Pole.

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

[Tool]
Top 10 entity alternatives:
1. North Pole, also known as terrestrial North Pole, geographic North Pole (wd:Q934): one of the two points where the Earth's axis of rotation intersects its surface
2. North Pole, also known as North Pole, Alaska (wd:Q79494): city in Alaska, USA
3. North Pole, also known as North Pole, ID, North Pole, Idaho (wd:Q7056392): unincorporated community in Idaho
4. North Pole, also known as North Pole, New York, North Pole, NY (wd:Q4327488): human settlement in United States of America
5. North Pole (wd:Q130803558): pub in Wateringbury, Tonbridge and Malling, Kent, England
6. North Pole (wd:Q21958071): mine in Western Australia
7. North Pole (wd:Q21983876): mountain in Australia
8. North Pole (wd:Q31972103): mine in Masvingo Province, Zimbabwe
9. North Pole (wd:Q34886291): mountain in United States of America
10. North Pole (wd:Q49057483): mountain in Idaho, United States of America

[Assistant] The entity for the geographic North Pole is wd:Q934. Next, I need to find the property for "place of death" in Wikidata. I will search for properties related to "place of death."

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): dissolved, abolished or demolished date, date on which the subject died, end time
4. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): category item for people who died in this location, related category
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): total (cumulative) number of people who died since start as a direct result of an event or cause
7. category for people buried here, also known as buried here: Wikimedia category for, category of people buried here, category for place of burial, category for burials (wd:P1791 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): Wikimedia category for people with a burial site within this area, related category
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): date on which the person was buried or cremated soon after death, point in time
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant] The property for "place of death" is wd:P20. Now I will write a SPARQL query to find people who have the place of death as the North Pole (wd:Q934). I will also include their labels for readability.

[Tool]
Got 1 row and 2 columns:
| ?person                            | ?personLabel         |
| ---------------------------------- | -------------------- |
| Sigizmund Levanevsky (wd:Q1333099) | Sigizmund Levanevsky |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?character ?characterLabel ?genderLabel WHERE {
  wd:Q696071 wdt:P674 ?character .
  OPTIONAL {
    ?character wdt:P21 ?gender .
  }
  OPTIONAL {
    ?character rdfs:label ?characterLabel FILTER ( LANG( ?characterLabel ) = "en" )
  }
  OPTIONAL {
    ?gender rdfs:label ?genderLabel FILTER ( LANG( ?genderLabel ) = "en" )
  }
}

Got 6 rows and 3 columns:
| ?character                        | ?characterLabel     | ?genderLabel |
| --------------------------------- | ------------------- | ------------ |
| Ging Freecss (wd:Q20381047)       | Ging Freecss        | male         |
| Hisoka (wd:Q2280812)              | Hisoka              | male         |
| Kurapika (wd:Q2537895)            | Kurapika            | male         |
| Leorio Paladiknight (wd:Q2611418) | Leorio Paladiknight | male         |
| Gon Freecss (wd:Q2717608)         | Gon Freecss         | male         |
| Killua Zoldyck (wd:Q2717625)      | Killua Zoldyck      | male         |

Based on the characters listed in Wikidata for Hunter x Hunter, all main characters are male. There is no female main character in Hunter x Hunter according to the available data.

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

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

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

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

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

[User] is there female main character in hunter x hunter?

[Assistant]
To answer the question "Is there a female main character in Hunter x Hunter?" I need to:

1. Identify the entity for "Hunter x Hunter" (likely a manga or anime series).
2. Identify the main characters of Hunter x Hunter.
3. Check the gender of these main characters to see if any are female.

First, I will search for the entity "Hunter x Hunter" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Hunter × Hunter, also known as HUNTER × HUNTER, Hunter x Hunter, HXH (wd:Q696071): Japanese manga series
2. Hunter × Hunter, also known as H×H, Hunter x Hunter, HxH (wd:Q70209136): 2011 Japanese anime television series
3. Hunter × Hunter, also known as Hunter x Hunter, HxH (wd:Q21232458): 1999 Japanese anime television series
4. Monster Hunter Generations, also known as Monster Hunter X (wd:Q20856979): 2015 Japanese video game
5. Hunter Xcite (wd:Q60767092): sailboat class
6. Xavier Hunter (wd:Q100806788): basketball player
7. Hunter × Hunter: Phantom Rouge, also known as Hunter X Hunter: Phantom Rouge (wd:Q11398237): 2013 film by Yūzō Satō
8. City Hunter XYZ (wd:Q97170832): fan film by Filip Wong
9. Monster Hunter Generations Ultimate, also known as Monster Hunter XX (wd:Q30302563): 2017 video game
10. XX: Beautiful Hunter (wd:Q8042573): 1994 film by Masaru Konuma

[Assistant] The entity "Hunter × Hunter" as a Japanese manga series is wd:Q696071. Now I will find the main characters of this manga series. I will search for properties related to "main character" or "character" for this entity.

[Tool]
Top 10 property alternatives:
1. characters, also known as appears in this work (wd:P674 as wdt/p): characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games)
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
4. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
5. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as wdt/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
6. author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt/p): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
7. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
8. Personality Database work ID, also known as PDB work ID, Personality Database work identifier, Personality DB work ID (wd:P10688 as wdt/p): identifier of an audiovisual work on the Personality Database website
9. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as wdt/p): new work of art (film, book, software, etc.) derived from major part of this work
10. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time

No other items found

[Assistant] The property "characters" (wdt:P674) is used to indicate characters which appear in the work. I will now query the characters of Hunter x Hunter (wd:Q696071) using this property. Then I will check the gender of these characters to find if there is any female main character.

[Tool]
Got 6 rows and 3 columns:
| ?character                        | ?characterLabel     | ?genderLabel |
| --------------------------------- | ------------------- | ------------ |
| Ging Freecss (wd:Q20381047)       | Ging Freecss        | male         |
| Hisoka (wd:Q2280812)              | Hisoka              | male         |
| Kurapika (wd:Q2537895)            | Kurapika            | male         |
| Leorio Paladiknight (wd:Q2611418) | Leorio Paladiknight | male         |
| Gon Freecss (wd:Q2717608)         | Gon Freecss         | male         |
| Killua Zoldyck (wd:Q2717625)      | Killua Zoldyck      | male         |

[Assistant]
The main characters of Hunter x Hunter listed in Wikidata are Ging Freecss, Hisoka, Kurapika, Leorio Paladiknight, Gon Freecss, and Killua Zoldyck. All of them are marked as male. There is no female main character listed among these main characters.

I will now check if there are any female characters at all in Hunter x Hunter by querying characters with female gender. This will help confirm if there are any female characters that might be considered main characters but not listed in the initial main characters list.

[Tool] Got no rows and 2 columns

[Assistant]
There are no female characters listed as characters of Hunter x Hunter in Wikidata. Based on the data, there is no female main character in Hunter x Hunter.

I will now provide the final answer.

[Tool] Stopped generation process