PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?country ?countryLabel WHERE {
  wd:Q9441 wdt:P19 / wdt:P17 ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| country         | countryLabel |
| --------------- | ------------ |
| Nepal (wd:Q837) | Nepal (en)   |

The Buddha (Siddhartha Gautama) was born in Lumbini, which is located in the country of Nepal.

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

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

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

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

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

[User] what country did buddha come from?

[Tool]
Top 10 entity alternatives:
1. The Buddha, also known as Trigyesh, Shakyamuni, Sakyasinha, Shakyasimha, Siddhartha Gautama (wd:Q9441): Indian philosopher and the founder of Buddhism (623 or 563 BCE – 543 or 483 BCE), spiritual teacher, religious leader, social reformer, father of faith, psychologist, psychiatrist, philosopher, preacher, bhikkhu, writer
2. The Buddha, also known as Lord Buddha, Mahatma Buddha, Siddhartha Gautama, Munish, Shakyasimha (wd:Q9441): Indian philosopher and the founder of Buddhism (623 or 563 BCE – 543 or 483 BCE), spiritual teacher, religious leader, father of faith, social reformer, psychologist, psychiatrist, philosopher, preacher, bhikkhu, writer
3. Sri Siddhartha Gautama (wd:Q25209680): 2013 film
4. Siddhartha, also known as Camularenti (wd:Q457289): novel by Hermann Hesse
5. Gautama (wd:Q1496313): philosopher, Vedic sage, poet
6. Siddhartha (wd:Q505260): 1972 film directed by Conrad Rooks
7. Siddhartha, also known as Siddhartha of Kundagrama (wd:Q7508053): Father of Mahavira, the 24th and last Jain Tirthankara, king
8. Gautam, also known as Gautama, Gauthama, गौतम (wd:Q5527864): male given name (गौतम)
9. Siddhartha (wd:Q18703887): 2015 film by Prakash
10. Siddhartha, also known as Siddharta, Jorge Siddhartha González Ibarra, John Meier (wd:Q5936052): Mexican musician, record producer, composer, singer

[Tool]
Got 1 row and 3 columns:
| subject               | property                         | object               |
| --------------------- | -------------------------------- | -------------------- |
| The Buddha (wd:Q9441) | country of citizenship (wdt:P27) | Shakya (wd:Q1062748) |

[Tool]
Got 1 row and 3 columns:
| subject               | property                 | object             |
| --------------------- | ------------------------ | ------------------ |
| The Buddha (wd:Q9441) | place of birth (wdt:P19) | Lumbini (wd:Q9213) |

[Tool]
Got 1 row and 3 columns:
| subject            | property          | object          |
| ------------------ | ----------------- | --------------- |
| Lumbini (wd:Q9213) | country (wdt:P17) | Nepal (wd:Q837) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?countyLabel WHERE {
  wd:Q486472 wdt:P131 ?county .
  ?county rdfs:label ?countyLabel
  FILTER ( LANG( ?countyLabel ) = "en" )
}

Got 1 row and 1 column:
| countyLabel           |
| --------------------- |
| Wyandotte County (en) |

Wyandotte County

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

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

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

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

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

[User] what county is kansas city kansas?

[Tool]
Top 10 entity alternatives:
1. Kansas City, also known as Kansas City, Missouri, Kansas City, MO, K.C., KC, KCMO (wd:Q41819): city in Missouri, United States
2. Kansas City, also known as Kansas City, Kansas, KCK, Kansas, Kansas, Kansas City, KS (wd:Q486472): city and county seat of Wyandotte County, State of Kansas, United States
3. Kansas City, also known as Kansas City, Kansas, KCK, Kansas City, KS, Kansas, Kansas (wd:Q486472): city and county seat of Wyandotte County, State of Kansas, United States
4. Kansas City (wd:Q977996): 1996 film by Robert Altman
5. Kansas City, also known as K. C. Loving (wd:Q1723915): original song written and composed by Jerry Leiber and Mike Stoller
6. Kansas City, also known as Kansas City, Oregon, Kansas City, OR (wd:Q3709254): unincorporated community in Washington County, Oregon, United States
7. Kansas City/Hey, Hey, Hey, Hey, also known as Kansas City (wd:Q10543339): vocal track by The Beatles
8. Kansas City (wd:Q6364626): US basketball team
9. Kansas City (wd:Q6364628): 2008 single by Sneaky Sound System
10. Kansas City, also known as Kansas City (Oklahoma!) (wd:Q6364632): original song written and composed by Richard Rodgers (music) and Oscar Hammerstein II; from the musical Oklahoma!

[Tool]
Top 10 entity alternatives:
1. Wyandotte County, also known as Wyandotte County, Kansas, Wyandotte County, KS (wd:Q375652): county in Kansas, United States
2. Wyandotte County Courthouse (wd:Q55637961): historic courthouse in Kansas City, Kansas, USA
3. Wyandotte County Park (wd:Q49583310): park in the United States of America
4. Wyandotte County Park (wd:Q49583312): park in Wyandotte County, Kansas, United States of America
5. The Wyandotte County Record, also known as Wyandotte County Record (wd:Q100287658): newspaper published in Kansas City, Kansas
6. Wyandotte County Cemetery (wd:Q117537351): cemetery in Wyandotte County, Kansas, United States
7. Wyandotte County Kansas Democratic Party, also known as Wyandotte County Democratic Party, wycodemocrats.org, Wyandotte County KS Democrats, Wyandotte County Democrats (wd:Q99755148): political organization in US state of Kansas
8. 2020 COVID-19 pandemic in Wyandotte County, Kansas, also known as Wyandotte County, Kansas COVID-19 pandemic, COVID-19 pandemic in Wyandotte County, Kansas, 2020 Wyandotte County, Kansas COVID-19 pandemic, 2020 COVID pandemic in Wyandotte County, Kansas, 2020 coronavirus outbreak in Wyandotte County, Kansas (wd:Q94283202): pandemic in Wyandotte County, Kansas
9. Wyandotte County, Kansas, Museum Crawl (wd:Q112028879): scientific article published on 24 April 2013
10. United Way of Wyandotte County (wd:Q54832641): American nonprofit organization

[Tool]
Got 1 row and 2 columns:
| county                        | countyLabel           |
| ----------------------------- | --------------------- |
| Wyandotte County (wd:Q375652) | Wyandotte County (en) |

[Tool] Stopped generation process


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT ?actor WHERE {
  wd:Q935945 p:P161 ?castStmt .
  ?castStmt ps:P161 ?actor .
  ?castStmt pq:P453 wd:Q25097 .
}

The voice of Chucky in the 1988 film Child’s Play is provided by actor Brad Dourif (wd:Q329734).

[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 does the voice for chucky in child's play?

[Tool]
Top 10 entity alternatives:
1. Child's Play (wd:Q935945): 1988 film by Tom Holland
2. Child's Play, also known as Childs Play (wd:Q56697304): 2019 film directed by Lars Klevberg
3. Child's Play, also known as Chucky (franchise) (wd:Q2265493): horror film franchise focusing on Chucky, a killer doll
4. Child's Play (wd:Q3966802): 1972 film by Sidney Lumet
5. Child's Play (wd:Q5097661): children's charity
6. Child's Play (wd:Q5097656): episode of Star Trek: Voyager (S6 E19)
7. Child's Play (wd:Q1463844): 1992 film directed by Wolfgang Becker
8. Child's Play (wd:Q5097664): 1994 Marvel Comics storyline
9. Child's Play (wd:Q5097667): 1980s US game show
10. Child's Play (wd:Q5097668): D&D module

[Tool]
Top 10 entity alternatives:
1. Hirving Lozano, also known as Chucky, Hirving Rodrigo Lozano Bahena, Hirving Lozano Bahena, Chucky Lozano (wd:Q17633812): Mexican association football player, association football player
2. Chucky, also known as The Lakeshore Strangler, Lakeshore Strangler, Good Guy doll, Chucky the murderdoll, Charles Ray (wd:Q25097): horror film villain, serial killer
3. Chucky (wd:Q106824359): American horror television series
4. Chucky (wd:Q85752306)
5. Matías Real, also known as Bochi, CHucky, chucker (wd:Q126939089): association football player, futbolista argentino
6. Chucky (wd:Q130921788): scientific article published on 12 November 2013
7. Chucky (wd:Q122300786): 2019 video game
8. Chucky (wd:Q110058876): sketch from Saturday Night Live
9. Earth-Mover, also known as Chuck Moss, Jeanne Chretien, Chucky (wd:Q3046465): Marvel comics character
10. Chucky Atkins, also known as Kenneth Lavon "Chucky" Atkins, Kenneth Lavon Atkins (wd:Q935693): American basketball player, basketball player

[Tool]
Top 10 property alternatives:
1. voice actor, also known as voice actors, voice dubber, voice actress, voice actresses, voiced by (wd:P725 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): performer of a spoken role in a creative work such as animation,... (P453) as qualifier] [use "cast member" (P161) for live acting], film crew member, cast member
2. Behind The Voice Actors person ID, also known as behindthevoiceactors.com person ID, BTVA person ID, BTVA ID (wd:P5007 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): identifier of a person on the website Behind The Voice Actors
3. Deutsche Synchronkartei dubbing voice actor ID, also known as Synchronkartei dubbing voice actor identifier, Synchronkartei dubbing voice actor ID, Deutsche Synchronkartei dubbing voice actor identifier (wd:P4727 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): identifier for a dubbing voice actor, in the synchronisation (dubbing) database Deutsche Synchronkartei
4. Behind The Voice Actors short ID, also known as BTVA short ID (wd:P7318 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): identifier of a short on the website Behind The Voice Actors
5. Behind The Voice Actors character ID, also known as Behind The Voice Actors character identifier, BTVA character ID, BTVA character identifier (wd:P5107 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): identifier of a character from the Behind The Voice Actors website
6. Behind The Voice Actors franchise ID, also known as BTVA franchise ID (wd:P5382 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): identifier of a franchise in Behind the Voice Actors
7. Behind The Voice Actors film ID, also known as Behind The Voice Actors movie ID, BTVA movie ID (wd:P5384 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): identifier of a film on the website Behind The Voice Actors
8. MyAnimeList people ID, also known as MyAnimeList actor ID, MyAnimeList voice actor ID, MyAnimeList staff ID, MyAnimeList person ID, MAL voice actor ID (wd:P4084 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): identifier for a person or group of people on MyAnimeList
9. audio recording of the subject's spoken voice, also known as voice recording, audio clip, spoken voice, speaking voice, recording of the subject's spoken voice (wd:P990 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): audio file representing the speaking voice of a person; or of an animated cartoon or other fictitious character, audio
10. voice type, also known as range of voice, register, tessitura, type of voice, vocal type (wd:P412 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): person's voice type. expected values: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass (and derivatives)

[Tool]
Got 187 rows and 3 columns, showing the first 10 rows below:
| subject            | property                         | object                              |
| ------------------ | -------------------------------- | ----------------------------------- |
| Chucky (wd:Q25097) | instance of (wdt:P31)            | film character (wd:Q15773347)       |
| Chucky (wd:Q25097) | occupation (wdt:P106)            | serial killer (wd:Q484188)          |
| Chucky (wd:Q25097) | sex or gender (wdt:P21)          | male (wd:Q6581097)                  |
| Chucky (wd:Q25097) | given name (wdt:P735)            | Charles (wd:Q2958359)               |
| Chucky (wd:Q25097) | date of birth (wdt:P569)         | 1988-11-09T00:00:00Z (xsd:dateTime) |
| Chucky (wd:Q25097) | Commons category (wdt:P373)      | Chucky                              |
| Chucky (wd:Q25097) | country of citizenship (wdt:P27) | United States (wd:Q30)              |
| Chucky (wd:Q25097) | family name (wdt:P734)           | Ray (wd:Q2133813)                   |
| Chucky (wd:Q25097) | child (wdt:P40)                  | Glen/Glenda Ray (wd:Q123521613)     |
| Chucky (wd:Q25097) | creator (wdt:P170)               | Don Mancini (wd:Q1239298)           |
| ...                | ...                              | ...                                 |

[Tool]
Got 456 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                                        | object                                                                           |
| ------------------------- | ----------------------------------------------- | -------------------------------------------------------------------------------- |
| Child's Play (wd:Q935945) | instance of (wdt:P31)                           | film (wd:Q11424)                                                                 |
| Child's Play (wd:Q935945) | title (wdt:P1476)                               | Child's Play (en)                                                                |
| Child's Play (wd:Q935945) | publication date (wdt:P577)                     | 1988-01-01T00:00:00Z (xsd:dateTime)                                              |
| Child's Play (wd:Q935945) | main subject (wdt:P921)                         | body swap (wd:Q4936971)                                                          |
| Child's Play (wd:Q935945) | image (wdt:P18)                                 | <http://commons.wikimedia.org/wiki/Special:FilePath/Child%27s%20play%201988.png> |
| Child's Play (wd:Q935945) | country of origin (wdt:P495)                    | United States (wd:Q30)                                                           |
| Child's Play (wd:Q935945) | genre (wdt:P136)                                | horror film (wd:Q200092)                                                         |
| Child's Play (wd:Q935945) | cast member (wdt:P161)                          | Brad Dourif (wd:Q329734)                                                         |
| Child's Play (wd:Q935945) | followed by (wdt:P156)                          | Child's Play 2 (wd:Q1089281)                                                     |
| Child's Play (wd:Q935945) | original language of film or TV show (wdt:P364) | English (wd:Q1860)                                                               |
| ...                       | ...                                             | ...                                                                              |

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 1 column:
| actor                    |
| ------------------------ |
| Brad Dourif (wd:Q329734) |

[Tool] Got no rows and 3 columns

[Tool]
Got 65 rows and 3 columns, showing the first 5 and last 5 rows below:
| actor                                | qual                | qualValue                                    |
| ------------------------------------ | ------------------- | -------------------------------------------- |
| John Franklin (wd:Q1647693)          | prov:wasDerivedFrom | ref:697ebe753b838814bf6eb9bc6d52bbae34d1a790 |
| John Franklin (wd:Q1647693)          | rdf:type            | wikibase:Statement                           |
| John Franklin (wd:Q1647693)          | rdf:type            | wikibase:BestRank                            |
| John Franklin (wd:Q1647693)          | wikibase:rank       | wikibase:NormalRank                          |
| Michael Patrick Carter (wd:Q1928838) | prov:wasDerivedFrom | ref:697ebe753b838814bf6eb9bc6d52bbae34d1a790 |
| ...                                  | ...                 | ...                                          |
| Edan Gross (wd:Q5335683)             | prov:wasDerivedFrom | ref:697ebe753b838814bf6eb9bc6d52bbae34d1a790 |
| Jack Colvin (wd:Q686682)             | wikibase:rank       | wikibase:NormalRank                          |
| Jack Colvin (wd:Q686682)             | rdf:type            | wikibase:BestRank                            |
| Jack Colvin (wd:Q686682)             | rdf:type            | wikibase:Statement                           |
| Jack Colvin (wd:Q686682)             | prov:wasDerivedFrom | ref:697ebe753b838814bf6eb9bc6d52bbae34d1a790 |

[Tool]
Top 10 property alternatives:
1. character role, also known as role, plays, performer of, as, acting role (wd:P453 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
2. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
3. name of the character role, also known as character named as, role named as, role name, name of the role, name of the character (wd:P4633 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): name by which a character role is recorded in a database or ment...ably a specific performance of a theatrical production of a play, name
4. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): role that agents of this action take on in the context of this action
5. used by, also known as armiger, user, played by, of (wd:P1535 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): item or concept that makes use of the subject (use sub-properties when appropriate)
6. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): object depicting this subject (object being creative works such as books, films, paintings)
7. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
8. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
9. agent of action, also known as being done by, initiator, initiated by, done by, doer (wd:P12995 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): particular item that initiates this action or class of actions
10. describes actor of (wd:P12027 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): predicate sense whose actor (an agent or a cause—basically the instigator of an action) is denoted by this sense

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?tz ?tzLabel WHERE {
  wd:Q84 wdt:P421 ?tz .
  OPTIONAL {
    ?tz rdfs:label ?tzLabel FILTER ( LANG( ?tzLabel ) = "en" )
  }
}

London, United Kingdom, has the following time zones (property P421):
- Europe/London (Q16894228)
- Greenwich Mean Time (Q30192)
- UTC±00:00 (Q6574)
- UTC+01:00 (Q6655)

The primary IANA time zone identifier for London is Europe/London.

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

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

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

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

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

[User] what is london uk time zone?

[Tool]
Top 10 entity alternatives:
1. London, also known as Loniniensi, Trinovantum, the Big Smoke, Lundenwic, Lundenburh (wd:Q84): capital and largest city of England and the United Kingdom
2. City of London, also known as City of London (unparished area), City and County of the City of London, the City, London, Square Mile (wd:Q23311): city, ceremonial county and local government district that conta...ry central business district in the London Region in England, UK
3. London, also known as City of London, London, ON, London, Ontario (wd:Q92561): city in Southwestern Ontario, Canada
4. London, also known as London, KY, London, Kentucky (wd:Q3061911): city in Kentucky, United States
5. London, also known as London, OH, London, Ohio (wd:Q1001456): city in Madison County, Ohio, United States
6. London, also known as London, AR, London, Arkansas (wd:Q79348): city in Pope County, Arkansas, United States
7. London, also known as London, CA, London, California (wd:Q586353): census designated place in Tulare County, California, United States
8. London Recordings, also known as London, London Records (wd:Q935090): record label headquartered in the United Kingdom
9. London (wd:Q1749384): 2005 film directed by Hunter Richards
10. London, also known as Ronton (wd:Q2477346): settlement in Kiribati

[Tool]
Top 10 property alternatives:
1. located in time zone, also known as TZ, time zone, timezone (wd:P421 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): time zone for this item
2. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
3. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): indicate when something happens relative to its beginning
4. point in time, also known as at time, as of, year, when, time of event (wd:P585 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
5. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
6. UTC timezone offset, also known as offset from UTC, UTC offset of timezone (wd:P2907 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): difference between Coordinated Universal Time (UTC) and this timezone, numeric value
7. start time, also known as start date, since, valid, join time, joined (wd:P580 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): time an entity begins to exist or a statement starts being valid, point in time
8. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): length of time of an event or process
9. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
10. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): date represented in a work (for narrative works use P2408)

[Tool]
Got 4 rows and 2 columns:
| tz                              | tzLabel                  |
| ------------------------------- | ------------------------ |
| Europe/London (wd:Q16894228)    | Europe/London (en)       |
| Greenwich Mean Time (wd:Q30192) | Greenwich Mean Time (en) |
| UTC±00:00 (wd:Q6574)            | UTC±00:00 (en)           |
| UTC+01:00 (wd:Q6655)            | UTC+01:00 (en)           |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ( YEAR( ?date ) AS ?year ) WHERE {
  wd:Q221878 wdt:P1344 ?superbowl .
  ?superbowl wdt:P31 wd:Q32096 ; wdt:P585 ?date .
}
ORDER BY ?year

The Seattle Seahawks went to the Super Bowl in the years 2006, 2014, and 2015.

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

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

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

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

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

[User] what year did seattle seahawks go to the super bowl?

[Tool]
Top 10 entity alternatives:
1. Seattle Seahawks (wd:Q221878): American football team
2. Seattle Seahawks (wd:Q1431833): ice hockey team
3. history of the Seattle Seahawks, also known as Seattle Seahawks history, the Seattle Seahawks history (wd:Q3973903): aspect of history
4. 2021 Seattle Seahawks season (wd:Q104869618): 46th season in franchise history
5. 2022 Seattle Seahawks season (wd:Q110445415): 47th season in franchise history
6. 2023 Seattle Seahawks season (wd:Q116170066): 48th season in franchise history
7. 2020 Seattle Seahawks season (wd:Q81002024): 45th season in franchise history
8. 2018 Seattle Seahawks season (wd:Q47191924): 43rd season in franchise history; final one under ownership of Paul Allen
9. 2015 Seattle Seahawks season (wd:Q19255692): 40th season in franchise history
10. 2024 Seattle Seahawks season (wd:Q124167235): 49th season in franchise history

[Tool]
Got 1 row and 3 columns:
| subject                       | property                   | object                     |
| ----------------------------- | -------------------------- | -------------------------- |
| Seattle Seahawks (wd:Q221878) | participant in (wdt:P1344) | Beast Quake (wd:Q16950836) |

[Tool] Got no rows and 1 columns

[Tool]
Top 10 entity alternatives:
1. Super Bowl, also known as AFL–NFL World Championship Game (wd:Q32096): National Football League championship game
2. Super Bowl (wd:Q121409161): 2023 single by Stray Kids
3. Super Bowl (wd:Q104642171): American horse
4. Super Bowl, also known as xkcd 60 (wd:Q18612009): 60th strip of the webcomic xkcd
5. Super Bowl, also known as xkcd 1480 (wd:Q20671274): 1480th strip of the webcomic xkcd
6. Super Bowl (wd:Q51263859): episode of Aqua Teen Hunger Force (S2 E3)
7. Super Bowl (wd:Q51159462): episode of Everybody Loves Raymond (S5 E13)
8. Super Bowl (wd:Q114548781): episode of Nurses (S2 E16)
9. Super Bowl 50, also known as 2016 Super Bowl, Super Bowl 2016, Super Bowl L (wd:Q7642193): 2016 edition of the Super Bowl
10. Super Bowl LII, also known as 2018 Super Bowl, Super Bowl 2018, Super Bowl 52 (wd:Q15633579): 2018 edition of the Super Bowl

[Tool]
Top 10 entity alternatives:
1. Super Bowl XL, also known as Super Bowl 2006, Super Bowl 40, 2006 Super Bowl (wd:Q904928): 2006 edition of the Super Bowl
2. Super Bowl XLVII, also known as 2013 Super Bowl, Harbaugh Bowl, Harbowl, Super Bowl 2013, Super Bowl 47 (wd:Q126291): 2013 edition of the Super Bowl
3. Super Bowl XLVI, also known as 2012 Super Bowl, Super Bowl 2012, Super Bowl 46 (wd:Q849079): 2012 edition of the Super Bowl
4. Super Bowl XLIX, also known as Super Bowl 49, Super Bowl 2015, 2015 Super Bowl (wd:Q1710023): 2015 edition of the Super Bowl
5. Super Bowl XLI, also known as 2007 Super Bowl, Super Bowl 41, Super Bowl 2007 (wd:Q597607): 2007 edition of the Super Bowl
6. Super Bowl XLV, also known as Super Bowl 2011, Super Bowl 45, 2011 Super Bowl (wd:Q371433): 2011 edition of the Super Bowl
7. Super Bowl XLII, also known as 2008 Super Bowl, Super Bowl 2008, Super Bowl 42 (wd:Q597314): 2008 edition of the Super Bowl
8. Super Bowl XLIII, also known as 2009 Super Bowl, Super Bowl 2009, Super Bowl 43 (wd:Q853768): 2009 edition of the Super Bowl
9. Super Bowl XLIV, also known as 2010 Super Bowl, Super Bowl 2010, Super Bowl 44 (wd:Q268882): 2010 edition of the Super Bowl
10. Super Bowl XLVIII, also known as 2014 Super Bowl, Super Bowl 48, Super Bowl 2014 (wd:Q1190093): 2014 edition of the Super Bowl

[Tool]
Got 1 row and 1 column:
| type                   |
| ---------------------- |
| Super Bowl (wd:Q32096) |

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
2. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
3. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
4. 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)
5. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as wdt/p): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]
6. follows, also known as prev, successor to, succeeds to, succeeds, split from (wd:P155 as wdt/p): immediately prior item in a series of which the subject is a par... preceding item, e.g. political offices, use "replaces" (P1365)]
7. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt/p): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
9. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)

No other items found

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?teamLabel WHERE {
  wd:Q296403 p:P54 ?stmt .
  ?stmt ps:P54 ?team .
  FILTER NOT EXISTS {
    ?stmt pq:P582 ?end .
  }
  ?team rdfs:label ?teamLabel FILTER ( lang( ?teamLabel ) = "en" )
}

Got 1 row and 1 column:
| teamLabel           |
| ------------------- |
| Saski Baskonia (en) |

According to Wikidata, Lamar Odom is currently playing for Saski Baskonia.

[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 lamar odom playing for this year?

[Tool]
Top 10 entity alternatives:
1. Lamar Odom, also known as Lamar Joseph Odom, The Goods, L.O., Candy Man (wd:Q296403): American basketball player, basketball player
2. Lamar Odom: Reborn, also known as Lamar Odom Re/born, Lamar Odom Reborn (wd:Q130267969): 2023 American documetary about addiction and recovery
3. Lamar, also known as Lamar, CO, Lamar, Colorado (wd:Q994475): home rule municipality in and county seat of Prowers County, Colorado, United States
4. Lamar, also known as Lamar, Missouri, Lamar, MO (wd:Q572172): city in Missouri, United States
5. Lamar, also known as Lamar, AR, Lamar, Arkansas (wd:Q79276): city in Johnson County, Arkansas, United States
6. Lamar, also known as Lamar, OK, Lamar, Oklahoma (wd:Q3287546): town in Hughes County, Oklahoma, United States
7. Lamar, also known as Lamar, SC, Lamar, South Carolina (wd:Q2083536): town in South Carolina
8. Lamar, also known as Lamar, NE, Lamar, Nebraska (wd:Q1809547): village in Nebraska
9. Lamar, also known as Lamar, Texas, Lamar, TX (wd:Q972793): census-designated place in Aransas County, Texas, United States
10. Lamar, also known as Lamar, Pennsylvania (wd:Q6480823): census-designated place in Clinton County, Pennsylvania, USA

[Tool]
Got 6 rows and 3 columns:
| team                                             | teamLabel                               | end                                 |
| ------------------------------------------------ | --------------------------------------- | ----------------------------------- |
| Los Angeles Lakers (wd:Q121783)                  | Los Angeles Lakers (en)                 | 2011-01-01T00:00:00Z (xsd:dateTime) |
| Dallas Mavericks (wd:Q132893)                    | Dallas Mavericks (en)                   | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Miami Heat (wd:Q169138)                          | Miami Heat (en)                         | 2004-01-01T00:00:00Z (xsd:dateTime) |
| Saski Baskonia (wd:Q54927)                       | Saski Baskonia (en)                     |                                     |
| Rhode Island Rams men's basketball (wd:Q7320948) | Rhode Island Rams men's basketball (en) | 1999-01-01T00:00:00Z (xsd:dateTime) |
| Los Angeles Clippers (wd:Q976396)                | Los Angeles Clippers (en)               | 2013-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?college ?collegeLabel WHERE {
  wd:Q6759529 wdt:P69 ?college .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel .
    FILTER ( LANG( ?collegeLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| college                        | collegeLabel           |
| ------------------------------ | ---------------------- |
| Davidson College (wd:Q2902978) | Davidson College (en)  |
| Bryn Mawr College (wd:Q995265) | Bryn Mawr College (en) |

Margaret Hoover attended Davidson College and Bryn Mawr College.

[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] where did margaret hoover go to college?

[Tool]
Top 10 entity alternatives:
1. Colleen Hoover, also known as Margaret Hoover, Margaret Fennell, Margaret Colleen Fennell, Colleen Fennell (wd:Q18348293): children's writer, American author, novelist, writer
2. Margaret Hoover, also known as Margaret Claire Hoover (wd:Q6759529): American political commentator (born 1977), political adviser, media personality, politician, pundit
3. Margaret Coberly, also known as Margaret Coberly Hoover, Margaret Hoover (wd:Q75766489): (1911-2009)
4. Margaret Eva Watson, also known as Margaret Eva Hoover, Margaret Hoover, Margaret Watson (wd:Q75766488): (190_-1982)
5. Margaret Ann Hoover, also known as Margaret Ann Bringham (wd:Q105131468): granddaughter of U.S. president Herbert Hoover (1926-2011)
6. Firing Line, also known as Firing Line with Margaret Hoover, Firing Line with William F. Buckley, Jr., FL2 LLC, Line Firing (wd:Q5452076): American public affairs television show
7. Margaret Hoover's Files (NAID 7074176) (wd:Q63908951): series in the National Archives and Records Administration's holdings
8. Psy, also known as PSY, Park Jae-sang, 박재상 (Park Jae-Sang), Pak Chaesang, Bak Jae-Sang (wd:Q20150): South Korean singer (born 1977), television producer, record producer, choreographer, film actor, songwriter, rapper, singer
9. vacuum cleaner, also known as vacuum, vac, hoover (wd:Q101674): device that uses air to suck up dirt and other substances
10. vacuum cleaner, also known as hoover, vac, vacuum (wd:Q101674): device that uses air to suck up dirt and other substances

[Tool]
Got 2 rows and 1 column:
| collegeLabel           |
| ---------------------- |
| Davidson College (en)  |
| Bryn Mawr College (en) |

[Tool]
Got 2 rows and 2 columns:
| college                        | collegeLabel           |
| ------------------------------ | ---------------------- |
| Davidson College (wd:Q2902978) | Davidson College (en)  |
| Bryn Mawr College (wd:Q995265) | Bryn Mawr College (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?influencer ?influencerLabel WHERE {
  wd:Q937 wdt:P737 ?influencer .
  OPTIONAL {
    ?influencer rdfs:label ?influencerLabel .
    FILTER ( LANG( ?influencerLabel ) = "en" )
  }
}

Got 18 rows and 2 columns, showing the first 5 and last 5 rows below:
| influencer                      | influencerLabel          |
| ------------------------------- | ------------------------ |
| Mahatma Gandhi (wd:Q1001)       | Mahatma Gandhi (en)      |
| George Bernard Shaw (wd:Q19185) | George Bernard Shaw (en) |
| Paul Valéry (wd:Q200639)        | Paul Valéry (en)         |
| Thomas Young (wd:Q25820)        | Thomas Young (en)        |
| Karl Pearson (wd:Q310794)       | Karl Pearson (en)        |
| ...                             | ...                      |
| Riazuddin (wd:Q7322195)         | Riazuddin (en)           |
| James Clerk Maxwell (wd:Q9095)  | James Clerk Maxwell (en) |
| Isaac Newton (wd:Q935)          | Isaac Newton (en)        |
| Ernst Mach (wd:Q93996)          | Ernst Mach (en)          |
| Fyodor Dostoyevsky (wd:Q991)    | Fyodor Dostoyevsky (en)  |

This query retrieves all entities (people, ideas, works, etc.) that influenced Albert Einstein (wd:Q937), along with their English labels.

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

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

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

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

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

[User] who or what influenced albert einstein?

[Tool]
Top 10 property alternatives:
1. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”
2. inspired by, also known as inspiration, source of inspiration (wd:P941 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): work, human, place or event which inspired this creative work or fictional entity
3. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
4. amended by, also known as updated by, revised by, modified by, corrected by, has addendum (wd:P2567 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): document is amended by specified other document
5. moved by (wd:P6939 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): a person who moves a motion as parliamentary procedure
6. innervated by (wd:P3189 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): nerves which innervate this anatomical structure
7. object of occurrence, also known as action applies to item, undergoer, target of action, target, patient (wd:P12912 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): specific object to which an occurrence or class of occurrences applies
8. afflicts, also known as affects, infects, condition endemic in (wd:P689 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): type of organism which a condition or disease afflicts (for an organ affected by a condition, use P927)
9. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): underlying cause, entity that ultimately resulted in this effect, follows
10. merged into, also known as absorbed in, acquired by, annexed to, bought by, dissolved into (wd:P7888 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): the subject was dissolved and merged into the object, that existed previously

[Tool]
Got 10 rows and 1 column:
| influencer                        |
| --------------------------------- |
| Mahatma Gandhi (wd:Q1001)         |
| George Bernard Shaw (wd:Q19185)   |
| Paul Valéry (wd:Q200639)          |
| Thomas Young (wd:Q25820)          |
| Karl Pearson (wd:Q310794)         |
| Henry George (wd:Q355245)         |
| Benedictus de Spinoza (wd:Q35802) |
| David Hume (wd:Q37160)            |
| Arthur Schopenhauer (wd:Q38193)   |
| Hendrik Lorentz (wd:Q41688)       |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT DISTINCT ?person ?personLabel WHERE {
  ?person p:P39 ?stmt .
  ?stmt ps:P39 wd:Q844587 ; pq:P580 ?start .
  OPTIONAL {
    ?stmt pq:P582 ?end .
  }
  FILTER ( ?start <= "2011-12-31" ^^ xsd:date && ( ! BOUND( ?end ) || ?end >= "2011-01-01" ^^ xsd:date ) ) OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" || LANG( ?personLabel ) = "es" )
  }
}
ORDER BY ?start

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

The prime ministers of Spain during 2011 were José Luis Rodríguez Zapatero and Mariano Rajoy.

[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 prime minister of spain 2011?

[Tool]
Top 10 entity alternatives:
1. Prime Minister of Spain, also known as president of the Government of Spain (wd:Q844587): head of government of Spain
2. Deputy Prime Minister of Spain, also known as First Deputy Prime Minister of Spain, Vice President of the Government of Spain (wd:Q3113035): second-highest position of the Government of Spain
3. Fourth Deputy Prime Minister of Spain (wd:Q83565070): Senior position in the government of Spain
4. Office of the Prime Minister, also known as Presidency of the Council of Ministers (1874-1939), Presidency of the Government (1939-), Prime Minister's Office (Spain) (wd:Q113299788): Office of the prime minister of Spain
5. Third Deputy Prime Minister of Spain (wd:Q6366494)
6. First Deputy Prime Minister of the Government of Spain (wd:Q37936537)
7. minister of Spain (wd:Q20899145)
8. Taoiseach, also known as Irish prime minister, prime minister of Ireland, prime minister of the Republic Ireland, Taoisigh (wd:Q191827): head of government and prime minister of Ireland
9. Prime Minister of Japan, also known as Japanese prime minister, Kantei Saigai (wd:Q274948): head of government of Japan
10. Prime Minister of Australia, also known as Australian Prime Minister (wd:Q319145): Head of Government of Australia

[Tool]
Got 2 rows and 2 columns:
| person                    | personLabel        |
| ------------------------- | ------------------ |
| Mariano Rajoy (wd:Q10819) | Mariano Rajoy (en) |
| wd:Q41395                 |                    |

[Tool]
Got 2 rows and 2 columns:
| person                    | personLabel        |
| ------------------------- | ------------------ |
| Mariano Rajoy (wd:Q10819) | Mariano Rajoy (en) |
| wd:Q41395                 |                    |

[Tool]
Got 500 rows and 3 columns, showing the first 10 rows below:
| subject   | property                         | object                                                                                |
| --------- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| wd:Q41395 | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| wd:Q41395 | occupation (wdt:P106)            | politician (wd:Q82955)                                                                                |
| wd:Q41395 | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| wd:Q41395 | given name (wdt:P735)            | José Luis (wd:Q20856658)                                                                                |
| wd:Q41395 | date of birth (wdt:P569)         | 1960-08-04T00:00:00Z (xsd:dateTime)                                                                                |
| wd:Q41395 | Commons category (wdt:P373)      | José Luis Rodríguez Zapatero                                                                                |
| wd:Q41395 | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Presidente%20de%20Espa%C3%B1a%20Rodr%C3%ADguez%20Zapatero%20en%20el%20Senado%20en%20marzo%20de%202011%20%28cropped%29.jpg> |
| wd:Q41395 | country of citizenship (wdt:P27) | Spain (wd:Q29)                                                                                |
| wd:Q41395 | family name (wdt:P734)           | Rodríguez (wd:Q1654058)                                                                                |
| wd:Q41395 | place of birth (wdt:P19)         | Valladolid (wd:Q8356)                                                                                |
| ...       | ...                              | ...                                                                                |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?location ?locationLabel ?countryLabel WHERE {
  {
    wd:Q1317 wdt:P20 ?location
  } UNION {
    wd:Q19085 wdt:P276 ?location
  }
  .
  ?location rdfs:label ?locationLabel FILTER ( LANG( ?locationLabel ) = "en" ) .
  OPTIONAL {
    ?location wdt:P17 ?country .
    ?country rdfs:label ?countryLabel
    FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Osama bin Laden was found and killed at his compound in Abbottabad, Pakistan.

[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] where was bin laden found and killed?

[Tool]
No property items found

No other items found

[Tool] Got no rows and 1 columns

[Tool]
No property items found

No other items found

[Tool]
No property items found

No other items found

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): 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 prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): 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 prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): 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 prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): 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 prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): 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 prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): 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 prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): 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 prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): 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 prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): 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 prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): what the place, monument, memorial, or holiday, commemorates, main subject

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Osama bin Laden, also known as Usama bin Laden, Usāmah bin Muḥammad bin ‘Awaḍ bin Lādin, Osama bin Mohammed bin Awad bin Laden, Crankshaft (wd:Q1317): Saudi terrorist and co-founder of al-Qaeda (1957–2011), businessperson, civil engineer, terrorist, jihadist
2. Osama bin Laden (wd:Q10612826): rogue bull elephant in India
3. death of Osama bin Laden, also known as Geronimo EKIA, killing of Bin Laden, killing of Osama bin Laden, Operation Neptune Spear, Osama bin Laden death (wd:Q19085): U.S. military operation in Abbottabad, Pakistan
4. Osama bin Laden bodyguards (wd:Q7105668): bodyguards of Osama Bin Laden
5. Osama Bin Laden Tape (wd:Q110056559): sketch from Saturday Night Live
6. Meeting Osama Bin Laden (wd:Q129687082): 2004 Television film
7. Operation Osama Bin Laden (wd:Q122824240): 2021 video game
8. Targeted: Osama Bin Laden (wd:Q129687094): 2004 Television film
9. Fatwas of Osama bin Laden (wd:Q5437340)
10. 2007 Osama bin Laden video (wd:Q4609081): 2007 film

[Tool]
Top 10 property alternatives:
1. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
2. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): dissolved, abolished or demolished date, date on which the subject died, end time
3. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdt/p): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
4. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt/p): religion of a person, organization or religious building, or associated with this subject
5. Oxford Reference overview ID, also known as OR ID, ORO ID, Overview Oxford Reference ID, Overview Reference Oxford ID, Oxford Reference ID (wd:P12582 as wdt/p): identifier for an overview page for a topic in the Oxford Reference
6. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
7. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as wdt/p): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
8. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
9. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
10. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception

No other items found

[Tool]
Top 10 property alternatives:
1. number of arrests, also known as arrest count, arrests (wd:P5582 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): the number of arrests made by public officials during or resulting from an event
2. place of detention, also known as internment at, internment place, jail, jailed at, penal (wd:P2632 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): place where this person is or was detained, residence
3. charge, also known as criminal charge, accused of, charged with (wd:P1595 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): offence with which someone is charged, at a trial
4. dam, also known as impounded by (wd:P4792 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): construction impounding this watercourse or creating this reservoir
5. perpetrator, also known as robber, perpetrators, perpetrated by, perp, offender (wd:P8031 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): person or organization who carried out this harmful, illegal, or immoral act, participant
6. convicted of, also known as conviction, found guilty of, guilty of (wd:P1399 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): crime a person was convicted of
7. participant, also known as suspect, player, party, participants, has participant (wd:P710 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
8. defendant, also known as litigant, respondant, plaintiff in, accused (wd:P1591 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): person or organization accused at a trial, object of occurrence, participant
9. reservoir created, also known as impounds, lake created, lake formed, reservoir formed, forms (wd:P4661 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): product, material, or service produced or provided, reservoir created upstream of a dam by this dam, located in or next to body of water, product or material produced
10. victim(s), also known as sexual abuse victim, terrorist victim, shooting victim, torture victim, victims (wd:P8032 as prn/pqn/psv/pqv/p/pq/prv/psn/ps/wdt/pr/wdtn): person(s) who were harmed from an act or event, object of occurrence, participant

[Tool]
Got 1 row and 1 column:
| place                                                  |
| ------------------------------------------------------ |
| Osama bin Laden's compound in Abbottabad (wd:Q3065522) |

[Tool]
Top 10 property alternatives:
1. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
2. 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
3. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt/p): religion of a person, organization or religious building, or associated with this subject
4. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as wdt/p): informal name (for a pseudonym use P742), name
5. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdt/p): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
6. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): dissolved, abolished or demolished date, date on which the subject died, end time
7. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
8. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
9. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as wdt/p): significant or notable events associated with the subject
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

No other items found

[Tool]
Top 10 property alternatives:
1. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
6. participant, also known as suspect, player, party, participants, has participant (wd:P710 as wdt/p): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
7. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)

No other items found

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 427 for token EOF with content '' (the input most likely does not follow the grammar)

[Tool]
Got 1 row and 3 columns:
| subject                              | property            | object                                                 |
| ------------------------------------ | ------------------- | ------------------------------------------------------ |
| death of Osama bin Laden (wd:Q19085) | location (wdt:P276) | Osama bin Laden's compound in Abbottabad (wd:Q3065522) |

[Tool]
Got 1 row and 3 columns:
| subject                                                | property                                                    | object                   |
| ------------------------------------------------------ | ----------------------------------------------------------- | ------------------------ |
| Osama bin Laden's compound in Abbottabad (wd:Q3065522) | located in the administrative territorial entity (wdt:P131) | Bilal Town (wd:Q2902640) |

[Tool] Stopped generation process