PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?country ?countryLabel WHERE {
  wd:Q9441 wdt:P27 ?country .
  ?country wdt:P17 wd:Q668 .
  OPTIONAL {
    wd:Q668 rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Buddha came from the country India.

[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?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what are buddhist gods?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 wd:Q6058157 ; wdt:P1049 wd:Q748 .
}

Using entities:
god (wd:Q6058157): male deity, in contrast to female deities
Buddhism, also known as Fo-Kiao, Bauddha Dharma, Fojiao, Fo-chiao, Dharmavinaya (wd:Q748): Indian religion

Using properties:
worshipped by, also known as deity of (wd:P1049 as wdt): religion or group/civilization that worships a given deity, part of
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 2:
Question:
what country did vasco da gama came from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q7328 wdt:P27 ?x .
}

Using entities:
Vasco da Gama, also known as Count of Vidigueira (wd:Q7328): Portuguese explorer, world traveler, naval officer, explorer, seafarer

Using properties:
country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt): the object is a country that recognizes the subject as its citizen, country

Example 3:
Question:
what country did vasco da gama come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q7328 wdt:P27 ?x .
}

Using entities:
Vasco da Gama, also known as Count of Vidigueira (wd:Q7328): Portuguese explorer, world traveler, naval officer, explorer, seafarer

Using properties:
country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt): the object is a country that recognizes the subject as its citizen, country

[Assistant] From the similar examples, we see that to find the country a person came from, the property "country of citizenship" (wdt:P27) is used. Now, I will search for the entity "Buddha" in Wikidata to find the correct identifier for Buddha.

[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. Buddha, also known as Arhat, Vijjācaraṇasampanna, Vidyācaraṇasaṃpanna, Tathārāja, Sugata (wd:Q7055): being who attains perfect enlightenment
4. buddhahood, also known as Buddha, fóguǒ, Chengfo, bukkai, buddhatta (wd:Q56247062): condition or rank of fully awakened enlightenment
5. Buddharupa, also known as Buddha, Buddharūpa (wd:Q1000809): statues of beings who have obtained Buddhahood
6. Buddha (wd:Q945140): manga series
7. Ulf Ekberg, also known as Ulf Buddha Ekberg, Ulf Gunnar Ekberg, Buddha (wd:Q2656667): television producer, Swedish musician, record producer, businessperson, film producer, songwriter, composer, musician, singer
8. Buddha (wd:Q851370): 1994 demo album by Blink-182
9. Buddha, also known as Buddhaa-Rajaon Ka Raja, Buddhaa - The King of Kings (wd:Q16954312): TV series
10. Huberht Taylor Hudson, also known as Buddha, Hubert Hudson (wd:Q3787383): British sailor who took part in Shackleton's Imperial Trans-Antarctic Expedition, navigator, sailor

[Assistant] The entity for the Buddha, the Indian philosopher and founder of Buddhism, is wd:Q9441. Now I will check the property "country of citizenship" (wdt:P27) for this entity to find the country Buddha came from.

[Tool]
Got 1 row and 2 columns:
| country              | countryLabel |
| -------------------- | ------------ |
| Shakya (wd:Q1062748) | Shakya (en)  |

[Assistant] The property "country of citizenship" (wdt:P27) for Buddha (wd:Q9441) returns "Shakya" (wd:Q1062748), which is an ancient kingdom or clan rather than a modern country. To find the modern country corresponding to Shakya, I will check if Shakya has a property indicating the modern country it is located in.

[Tool]
Got 231 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                           | object                                                   |
| -------------------- | -------------------------------------------------- | -------------------------------------------------------- |
| Shakya (wd:Q1062748) | instance of (wdt:P31)                              | ethnic group (wd:Q41710)                                 |
| Shakya (wd:Q1062748) | country (wdt:P17)                                  | India (wd:Q668)                                          |
| Shakya (wd:Q1062748) | subclass of (wdt:P279)                             | Indo-Aryan peoples (wd:Q1267849)                         |
| Shakya (wd:Q1062748) | inception (wdt:P571)                               | -700-01-01T00:00:00Z (xsd:dateTime)                      |
| Shakya (wd:Q1062748) | described by source (wdt:P1343)                    | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358) |
| Shakya (wd:Q1062748) | located in time zone (wdt:P421)                    | UTC+05:30 (wd:Q6828)                                     |
| Shakya (wd:Q1062748) | different from (wdt:P1889)                         | Sakia (wd:Q1624359)                                      |
| Shakya (wd:Q1062748) | dissolved, abolished or demolished date (wdt:P576) | -500-01-01T00:00:00Z (xsd:dateTime)                      |
| Shakya (wd:Q1062748) | capital (wdt:P36)                                  | Kapilavastu (wd:Q30610827)                               |
| Shakya (wd:Q1062748) | Freebase ID (wdt:P646)                             | /m/01xbtl                                                |
| ...                  | ...                                                | ...                                                      |

[Assistant] The entity Shakya (wd:Q1062748) has the property "country" (wdt:P17) with the value India (wd:Q668). This indicates that Buddha came from the country India. I will now finalize the answer with this information.

[Tool] Stopped generation process


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

Kansas City, Kansas is located in 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?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what famous people are from kansas city?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P19 wd:Q41819 .
}

Using entities:
Kansas City, also known as Kansas City, Missouri, Kansas City, MO, K.C., KC, KCMO (wd:Q41819): city in Missouri, United States

Using properties:
place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt): most specific known birth location of a person, animal or fictional character, location

Example 2:
Question:
where do the kansas city chiefs play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q223522 wdt:P159 ?x .
}

Using entities:
Kansas City Chiefs, also known as Chiefs, Dallas Texans, KC Chiefs (wd:Q223522): National Football League franchise in Kansas City, Missouri

Using properties:
headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place

Example 3:
Question:
what time is kansas in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1558 wdt:P421 ?x .
}

Using entities:
Kansas, also known as Kan., Kans., Kansas, United States of America, US-KS, KS (wd:Q1558): state of the United States of America

Using properties:
located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt): time zone for this item

[Assistant] The question is about the county of Kansas City, Kansas. Kansas City, Kansas is a city, and we want to find the county it is located in. The property that relates a city to a county is usually "located in the administrative territorial entity" (wdt:P131). I will first search for the entity "Kansas City, Kansas" to get its Wikidata identifier. Then I will query the county it is located in.

[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!

[Assistant] The entity for Kansas City, Kansas is wd:Q486472. Now I will query the county it is located in using the property "located in the administrative territorial entity" (wdt:P131).

[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 rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT DISTINCT ?actor ?actorLabel WHERE {
  wd:Q935945 p:P161 ?statement .
  ?statement ps:P161 ?actor ; pq:P453 wd:Q25097 .
  OPTIONAL {
    ?actor rdfs:label ?actorLabel FILTER ( LANG( ?actorLabel ) = "en" )
  }
}

The voice actor for Chucky in the film Child's Play is Brad Dourif.

[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?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
who the voice of jack skellington?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?p p:P725 ?y .
  ?y ps:P725 ?x ; pq:P453 wd:Q2708262 .
}

Using entities:
Jack Skellington, also known as The Pumpkin King (wd:Q2708262): fictional character from the film The Nightmare Before Christmas

Using properties:
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
voice actor, also known as voice actors, voice dubber, voice actress, voice actresses, voiced by (wd:P725 as p/ps): 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

Example 2:
Question:
who played andy in toy story 3?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q187278 p:P725 ?p .
  ?p ps:P725 ?x ; pq:P453 wd:Q1808466 .
}

Using entities:
Andy Davis (wd:Q1808466): Toy Story character
Toy Story 3 (wd:Q187278): 2010 American animated film

Using properties:
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
voice actor, also known as voice actors, voice dubber, voice actress, voice actresses, voiced by (wd:P725 as p/ps): 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

Example 3:
Question:
who has the voice of stewie griffin?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?p p:P725 ?y .
  ?y ps:P725 ?x ; pq:P453 wd:Q837909 .
}

Using entities:
Stewie Griffin, also known as Stewart Gilligan Griffin, Stewart Gilligan "Stewie" Griffin (wd:Q837909): fictional character from the Family Guy franchise

Using properties:
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
voice actor, also known as voice actors, voice dubber, voice actress, voice actresses, voiced by (wd:P725 as p/ps): 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

[Assistant]
From the examples, it is clear that the property "voice actor" (wdt:P725) with the qualifier "character role" (wdt:P453) is used to find the voice actor for a character in a specific film.

Next, I will search for the entity "Chucky" from the movie "Child's Play" to get the correct entity ID for the character. Then I will use the property "voice actor" with the qualifier "character role" to find the voice actor for Chucky in Child's Play.

[Tool]
Top 10 entity alternatives:
1. Seed of Chucky, also known as Child's Play 5: Seed of Chucky (wd:Q925421): 2004 film directed by Don Mancini
2. Child's Play (wd:Q935945): 1988 film by Tom Holland
3. Child's Play, also known as Childs Play (wd:Q56697304): 2019 film directed by Lars Klevberg
4. Child's Play, also known as Chucky (franchise) (wd:Q2265493): horror film franchise focusing on Chucky, a killer doll
5. Child's Play (wd:Q3966802): 1972 film by Sidney Lumet
6. Child's Play (wd:Q5097661): children's charity
7. Child's Play (wd:Q5097656): episode of Star Trek: Voyager (S6 E19)
8. Child's Play (wd:Q1463844): 1992 film directed by Wolfgang Becker
9. Child's Play (wd:Q5097664): 1994 Marvel Comics storyline
10. Child's Play (wd:Q5097667): 1980s US game show

[Assistant] The entity for the original 1988 film "Child's Play" is wd:Q935945. The franchise is wd:Q2265493. I need to find the character Chucky in the context of this film or franchise. I will search for the character "Chucky" in Wikidata.

[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

[Assistant] The character "Chucky" from the horror film is wd:Q25097. Now I will construct a SPARQL query to find the voice actor (wdt:P725) for the character Chucky (wd:Q25097) in the film Child's Play (wd:Q935945) using the qualifier "character role" (wdt:P453).

[Tool] Got no rows and 2 columns

[Assistant] The query did not return any results. It might be that the voice actor is not directly linked to the film entity but rather to the character entity or the franchise. I will try to find the voice actor for the character Chucky (wd:Q25097) without restricting to the film entity.

[Tool] Got no rows and 2 columns

[Assistant] There are no direct voice actor statements for the character Chucky (wd:Q25097) in Wikidata. I will try to find the cast members of the film Child's Play (wd:Q935945) and check if any of them have a role as voice actor or are linked to the character Chucky.

[Tool]
SPARQL execution failed:
Tried to allocate 6.6 GB, but only 2.1 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query to get all cast members and their roles for the film Child's Play was too large to execute. I will try a more focused query to get the cast members (wdt:P161) of the film Child's Play (wd:Q935945) first. Then I will check their roles.

[Tool]
Got 9 rows and 2 columns:
| actor                                | actorLabel                  |
| ------------------------------------ | --------------------------- |
| John Franklin (wd:Q1647693)          | John Franklin (en)          |
| Michael Patrick Carter (wd:Q1928838) | Michael Patrick Carter (en) |
| Catherine Hicks (wd:Q230789)         | Catherine Hicks (en)        |
| Alex Vincent (wd:Q2735504)           | Alex Vincent (en)           |
| Brad Dourif (wd:Q329734)             | Brad Dourif (en)            |
| Chris Sarandon (wd:Q363684)          | Chris Sarandon (en)         |
| Dinah Manoff (wd:Q443850)            | Dinah Manoff (en)           |
| Edan Gross (wd:Q5335683)             | Edan Gross (en)             |
| Jack Colvin (wd:Q686682)             | Jack Colvin (en)            |

[Assistant] I found the cast members of the film Child's Play (wd:Q935945). Now I will check which of these actors has a voice actor role or is linked to the character Chucky. I will check the statements for Brad Dourif (wd:Q329734) first, as he is known to be the voice of Chucky.

[Tool]
Got 542 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                         | object                                                                        |
| ------------------------ | -------------------------------- | ----------------------------------------------------------------------------- |
| Brad Dourif (wd:Q329734) | instance of (wdt:P31)            | human (wd:Q5)                                                                 |
| Brad Dourif (wd:Q329734) | occupation (wdt:P106)            | actor (wd:Q33999)                                                             |
| Brad Dourif (wd:Q329734) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                            |
| Brad Dourif (wd:Q329734) | given name (wdt:P735)            | Claude (wd:Q17523984)                                                         |
| Brad Dourif (wd:Q329734) | date of birth (wdt:P569)         | 1950-03-18T00:00:00Z (xsd:dateTime)                                           |
| Brad Dourif (wd:Q329734) | Commons category (wdt:P373)      | Brad Dourif                                                                   |
| Brad Dourif (wd:Q329734) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Brad%20Dourif%202002.jpg> |
| Brad Dourif (wd:Q329734) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                        |
| Brad Dourif (wd:Q329734) | family name (wdt:P734)           | Dourif (wd:Q56538224)                                                         |
| Brad Dourif (wd:Q329734) | place of birth (wdt:P19)         | Huntington (wd:Q241808)                                                       |
| ...                      | ...                              | ...                                                                           |

[Assistant] Brad Dourif is an actor. I want to check if he is linked as the voice actor for Chucky in the film Child's Play. I will query for statements where Brad Dourif is the voice actor (wdt:P725) with the character role qualifier (wdt:P453) as Chucky (wd:Q25097).

[Tool] Got no rows and 2 columns

[Assistant] There are no direct statements linking Brad Dourif as the voice actor for Chucky with the character role qualifier in Wikidata. I will try a different approach: I will check the cast members of the film Child's Play (wd:Q935945) with the property "cast member" (wdt:P161) and see if any of them have the role "voice actor" (wdt:P725) or similar.

[Tool]
SPARQL execution failed:
Tried to allocate 1.6 GB, but only 1.1 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query to get the roles of all cast members was too large to execute. I will try a simpler query to get the cast members and their roles for the film Child's Play (wd:Q935945) but limit the results to 10 to avoid memory issues.

[Tool]
SPARQL execution failed:
Tried to allocate 102.4 MB, but only 71.5 MB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query is still too large to execute. I will try a different approach. I will check the statements for the film Child's Play (wd:Q935945) with the property "cast member" (wdt:P161) and see if there are any qualifiers indicating voice acting or character roles. I will limit the results to 20.

[Tool]
Got 10 rows and 3 columns:
| subject                   | property             | object                                         |
| ------------------------- | -------------------- | ---------------------------------------------- |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:Q935945-353E9448-4D20-48E1-AEEC-EEC8AE450349 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:Q935945-3D3C1E62-DA99-4915-9172-6747EBEC11B9 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:Q935945-9B816757-E06D-40DE-80B7-D1DF36BBB07E |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:Q935945-AAC9B78D-C910-4311-8EBD-034F13CE5E64 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:q935945-BD448426-1C9E-487D-ADCB-F371D7F7201A |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:Q935945-F5AD312C-5076-4008-B46F-2F059B0CCD7F |

[Assistant] There are several statements for cast members of Child's Play (wd:Q935945). I will now check the details of one of these statements to see if it contains the character role or voice actor information. I will check the first statement s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property              | object                                       |
| ---------------------------------------------- | --------------------- | -------------------------------------------- |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | cast member (ps:P161) | Chris Sarandon (wd:Q363684)                  |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | wikibase:rank         | wikibase:NormalRank                          |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | rdf:type              | wikibase:BestRank                            |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:3255dfdb9d19b3914675b49cab82c0e97b37ab5f |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | rdf:type              | wikibase:Statement                           |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:4b210979265c396e054a16f77fc1b13414204915 |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:52df1f7de4ed2cad213516e6ac3a47f77d66c6cf |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:780933e795fa5d2e0b18c444e4bee7a7bdeb6575 |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:dbe7abbe749934eb5a147388e2320507a80f668c |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:e755fc2f1b30b36b93173bcbbf500171ecc2966f |
| ...                                            | ...                   | ...                                          |

[Assistant] The statement s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 has the cast member Chris Sarandon (wd:Q363684). I will check the qualifiers of this statement to see if there is a character role or voice actor role.

[Tool] Got no rows and 3 columns

[Assistant] The statement for Chris Sarandon does not have a character role qualifier. I will check another statement for a cast member to see if it has a character role qualifier. I will check the statement s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property                 | object                                       |
| ---------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | cast member (ps:P161)    | Alex Vincent (wd:Q2735504)                   |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | character role (pq:P453) | Andy Barclay (wd:Q778331)                    |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | wikibase:rank            | wikibase:NormalRank                          |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | rdf:type                 | wikibase:BestRank                            |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | prov:wasDerivedFrom      | ref:3255dfdb9d19b3914675b49cab82c0e97b37ab5f |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | rdf:type                 | wikibase:Statement                           |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | prov:wasDerivedFrom      | ref:52df1f7de4ed2cad213516e6ac3a47f77d66c6cf |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | prov:wasDerivedFrom      | ref:780933e795fa5d2e0b18c444e4bee7a7bdeb6575 |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | prov:wasDerivedFrom      | ref:dbe7abbe749934eb5a147388e2320507a80f668c |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | prov:wasDerivedFrom      | ref:e755fc2f1b30b36b93173bcbbf500171ecc2966f |
| ...                                            | ...                      | ...                                          |

[Assistant]
The statement s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 has the cast member Alex Vincent (wd:Q2735504) with the character role Andy Barclay (wd:Q778331). This means the character role qualifier is used in the cast member statements.

I will now check the statement s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 which might be linked to Brad Dourif to see if it has the character role qualifier for Chucky.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property              | object                                       |
| ---------------------------------------------- | --------------------- | -------------------------------------------- |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | cast member (ps:P161) | Catherine Hicks (wd:Q230789)                 |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | wikibase:rank         | wikibase:NormalRank                          |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | rdf:type              | wikibase:BestRank                            |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:3255dfdb9d19b3914675b49cab82c0e97b37ab5f |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | rdf:type              | wikibase:Statement                           |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:4b210979265c396e054a16f77fc1b13414204915 |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:52df1f7de4ed2cad213516e6ac3a47f77d66c6cf |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:780933e795fa5d2e0b18c444e4bee7a7bdeb6575 |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:dbe7abbe749934eb5a147388e2320507a80f668c |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:e755fc2f1b30b36b93173bcbbf500171ecc2966f |
| ...                                            | ...                   | ...                                          |

[Assistant] The statement s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 has the cast member Catherine Hicks (wd:Q230789) but no character role qualifier. I will check the statement s:q935945-9B816757-E06D-40DE-80B7-D1DF36BBB07E which might be linked to Brad Dourif.

[Tool] Got no rows and 3 columns

[Assistant] There is no statement with the ID s:q935945-9B816757-E06D-40DE-80B7-D1DF36BBB07E. I will check the statement s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F which might be linked to Brad Dourif.

[Tool]
Got 9 rows and 3 columns:
| subject                                        | property                 | object                                       |
| ---------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | cast member (ps:P161)    | Brad Dourif (wd:Q329734)                     |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | character role (pq:P453) | Chucky (wd:Q25097)                           |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | wikibase:rank            | wikibase:NormalRank                          |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | rdf:type                 | wikibase:BestRank                            |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | prov:wasDerivedFrom      | ref:52df1f7de4ed2cad213516e6ac3a47f77d66c6cf |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | rdf:type                 | wikibase:Statement                           |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | prov:wasDerivedFrom      | ref:780933e795fa5d2e0b18c444e4bee7a7bdeb6575 |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | prov:wasDerivedFrom      | ref:d5847b9b6032aa8b13dae3c2dfd9ed5d114d21b3 |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | prov:wasDerivedFrom      | ref:e755fc2f1b30b36b93173bcbbf500171ecc2966f |

[Assistant]
The statement s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F has the cast member Brad Dourif (wd:Q329734) with the character role Chucky (wd:Q25097). This means Brad Dourif is the actor for the character Chucky in the film Child's Play.

I will now finalize the SPARQL query to get the actor who played the voice for Chucky in Child's Play.

[Tool] Stopped generation process


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

The time zone of London, UK includes Europe/London, Greenwich Mean Time (GMT), UTC±00:00, and UTC+01:00. These represent the standard time zone and daylight saving time adjustments.

[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?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what time zone is it in london england?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q84 wdt:P421 ?x .
}

Using entities:
London, also known as Loniniensi, Trinovantum, the Big Smoke, Lundenwic, Lundenburh (wd:Q84): capital and largest city of England and the United Kingdom

Using properties:
located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt): time zone for this item

Example 2:
Question:
what time zone is london in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q84 wdt:P421 ?x .
}

Using entities:
London, also known as Loniniensi, Trinovantum, the Big Smoke, Lundenwic, Lundenburh (wd:Q84): capital and largest city of England and the United Kingdom

Using properties:
located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt): time zone for this item

Example 3:
Question:
what time zone in the uk?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q145 wdt:P421 ?x .
}

Using entities:
United Kingdom, also known as U.K., UK, U. K., U K, United Kingdom of Great Britain and Northern Ireland (wd:Q145): country in north-west Europe

Using properties:
located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt): time zone for this item

[Assistant] From the examples, it is clear that the entity for London is wd:Q84 and the property for time zone is wdt:P421. We can use these to query the time zone of London, UK. I will now write the SPARQL query to get the time zone of London.

[Tool]
Got 4 rows and 2 columns:
| timeZone                        | timeZoneLabel            |
| ------------------------------- | ------------------------ |
| 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 WHERE {
  ?event wdt:P31 / wdt:P279 * wd:Q32096 ; wdt:P1923 wd:Q221878 ; wdt:P585 ?date .
  BIND( YEAR( ?date ) AS ?year )
}
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?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what year did arizona cardinals go to superbowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?y wdt:P31 / wdt:P279 * wd:Q32096 ; wdt:P1923 wd:Q224164 ; wdt:P585 ?x .
}

Using entities:
Arizona Cardinals, also known as St. Louis Cardinals, Racine Cardinals, Morgan Athletic Club, Chicago Cardinals, Phoenix Cardinals (wd:Q224164): National Football League franchise in Glendale, Arizona
Super Bowl, also known as AFL–NFL World Championship Game (wd:Q32096): National Football League championship game

Using properties:
participating team, also known as teams (wd:P1923 as wdt): like 'Participant' (P710) but for teams. For an event like a cyc...member of sports team' (P54) as a qualifier for the individuals), participant
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

Example 2:
Question:
when did miami dolphins win super bowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?y wdt:P31 / wdt:P279 * wd:Q32096 ; wdt:P1346 wd:Q223243 ; wdt:P585 ?x .
}

Using entities:
Miami Dolphins, also known as Dolphins, Miami (wd:Q223243): National Football League franchise in Miami, Florida
Super Bowl, also known as AFL–NFL World Championship Game (wd:Q32096): National Football League championship game

Using properties:
winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt): 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
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

Example 3:
Question:
what year did baltimore ravens win the superbowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?y wdt:P31 / wdt:P279 * wd:Q32096 ; wdt:P1346 wd:Q276539 ; wdt:P585 ?x .
}

Using entities:
Baltimore Ravens (wd:Q276539): National Football League franchise in Baltimore, Maryland
Super Bowl, also known as AFL–NFL World Championship Game (wd:Q32096): National Football League championship game

Using properties:
winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt): 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
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

[Assistant]
From the examples, the approach is to find instances of the Super Bowl (wd:Q32096) where the Seattle Seahawks participated. The property for participating team is wdt:P1923 and the property for the date or year of the event is wdt:P585.

Next, I will search for the entity Seattle Seahawks to get its Wikidata ID.

[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

[Assistant] The Seattle Seahawks as an American football team is wd:Q221878. Now I will write a SPARQL query to find the years when the Seattle Seahawks participated in the Super Bowl (wd:Q32096) using the property for participating team (wdt:P1923) and the date of the event (wdt:P585).

[Tool]
Got 3 rows and 1 column:
| year           |
| -------------- |
| 2006 (xsd:int) |
| 2014 (xsd:int) |
| 2015 (xsd:int) |

[Tool] Stopped generation process


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?team ?teamLabel WHERE {
  wd:Q296403 p:P54 ?statement .
  ?statement ps:P54 ?team ; pq:P580 ?startTime .
  OPTIONAL {
    ?statement pq:P582 ?endTime .
  }
  FILTER ( ?startTime <= "2024-12-31T23:59:59Z" ^^ xsd:dateTime ) FILTER ( ! BOUND( ?endTime ) || ?endTime >= "2024-01-01T00:00:00Z" ^^ xsd:dateTime ) ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
}

Lamar Odom is not currently playing for any team in 2024 according to the data available in Wikidata.

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

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

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

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

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

[User] who is lamar odom playing for this year?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
who is lamar odom playing for in 2012?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q296403 p:P54 ?p .
  ?p ps:P54 ?x ; pq:P580 ?y ; pq:P582 ?z .
  FILTER ( ( ?y < "2013-01-01T00:00:00Z" ^^ xsd:dateTime ) && ( ?z >= "2012-01-01T00:00:00Z" ^^ xsd:dateTime ) )
}

Using entities:
Lamar Odom, also known as Lamar Joseph Odom, The Goods, L.O., Candy Man (wd:Q296403): American basketball player, basketball player

Using properties:
member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as p/ps): sports teams or clubs that the subject represents or represented, member of
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq): time an entity begins to exist or a statement starts being valid, point in time
end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pq): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time

Example 2:
Question:
what team does lamar odom play for 2011?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q296403 p:P54 ?p .
  ?p ps:P54 ?x ; pq:P580 ?y ; pq:P582 ?z .
  FILTER ( ( ?y < "2012-01-01T00:00:00Z" ^^ xsd:dateTime ) && ( ?z > "2011-01-01T00:00:00Z" ^^ xsd:dateTime ) )
}

Using entities:
Lamar Odom, also known as Lamar Joseph Odom, The Goods, L.O., Candy Man (wd:Q296403): American basketball player, basketball player

Using properties:
member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as p/ps): sports teams or clubs that the subject represents or represented, member of
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq): time an entity begins to exist or a statement starts being valid, point in time
end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pq): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time

Example 3:
Question:
who did lamar odom sign with?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q296403 wdt:P54 ?x .
}

Using entities:
Lamar Odom, also known as Lamar Joseph Odom, The Goods, L.O., Candy Man (wd:Q296403): American basketball player, basketball player

Using properties:
member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt): sports teams or clubs that the subject represents or represented, member of

[Assistant]
From the examples, we see that Lamar Odom is represented by wd:Q296403 in Wikidata. The property for the sports team he plays for is wdt:P54 (member of sports team). To find the team he is playing for this year, we need to check the statements with qualifiers for start time (pq:P580) and end time (pq:P582) to filter for the current year.

I will now write a SPARQL query to find the sports team Lamar Odom is playing for in the current year 2024.

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, which suggests that Lamar Odom may not be currently playing for any team in 2024 according to the data in Wikidata. To confirm this, I will run a simpler query to check all the teams Lamar Odom has played for without any time constraints. This will help verify if there is any recent team information available.

[Tool]
Got 6 rows and 2 columns:
| team                                             | teamLabel                               |
| ------------------------------------------------ | --------------------------------------- |
| Los Angeles Lakers (wd:Q121783)                  | Los Angeles Lakers (en)                 |
| Dallas Mavericks (wd:Q132893)                    | Dallas Mavericks (en)                   |
| Miami Heat (wd:Q169138)                          | Miami Heat (en)                         |
| Saski Baskonia (wd:Q54927)                       | Saski Baskonia (en)                     |
| Rhode Island Rams men's basketball (wd:Q7320948) | Rhode Island Rams men's basketball (en) |
| Los Angeles Clippers (wd:Q976396)                | Los Angeles Clippers (en)               |

[Assistant]
Lamar Odom has played for several teams including Los Angeles Lakers, Dallas Mavericks, Miami Heat, Saski Baskonia, Rhode Island Rams men's basketball, and Los Angeles Clippers. However, there is no indication from the previous query that he is currently playing for any team in 2024.

I will now check the time qualifiers for these teams to see when he played for them and if any of these periods include the year 2024.

[Tool]
Got 5 rows and 4 columns:
| team                                             | teamLabel                               | startTime                           | endTime                             |
| ------------------------------------------------ | --------------------------------------- | ----------------------------------- | ----------------------------------- |
| Los Angeles Clippers (wd:Q976396)                | Los Angeles Clippers (en)               | 2012-01-01T00:00:00Z (xsd:dateTime) | 2013-01-01T00:00:00Z (xsd:dateTime) |
| Dallas Mavericks (wd:Q132893)                    | Dallas Mavericks (en)                   | 2011-01-01T00:00:00Z (xsd:dateTime) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Los Angeles Lakers (wd:Q121783)                  | Los Angeles Lakers (en)                 | 2004-01-01T00:00:00Z (xsd:dateTime) | 2011-01-01T00:00:00Z (xsd:dateTime) |
| Miami Heat (wd:Q169138)                          | Miami Heat (en)                         | 2003-01-01T00:00:00Z (xsd:dateTime) | 2004-01-01T00:00:00Z (xsd:dateTime) |
| Rhode Island Rams men's basketball (wd:Q7320948) | Rhode Island Rams men's basketball (en) | 1998-01-01T00:00:00Z (xsd:dateTime) | 1999-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?college ?collegeLabel WHERE {
  wd:Q6759529 wdt:P69 ?college .
  ?college wdt:P31 / wdt:P279 * wd:Q38723 .
  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 went to 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?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where did pres clinton go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1124 wdt:P69 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q38723 .
}

Using entities:
Bill Clinton, also known as William Jefferson Blythe, William Jefferson Blythe III, William Jefferson "Bill" Clinton, William Jefferson Clinton, WJC (wd:Q1124): President of the United States from 1993 to 2001, autobiographer, statesperson, saxophonist, politician, governor, diplomat, teacher, jurist, lawyer, writer
higher education institution, also known as HEI, Higher Education school, institution of higher education, Superior Institute (wd:Q38723): institution that provides higher education (e.g., universities, ...es, liberal arts colleges, institutes of technology, and others)

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

Example 2:
Question:
what colleges did alice walker attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q215868 wdt:P69 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q38723 .
}

Using entities:
Alice Walker, also known as Alice Walker Leventhal, Alice Malsenior Walker, Alice Malsenior Tallulah-Kate Walker (wd:Q215868): American author and activist, civil rights advocate, short story writer, university teacher, children's writer, climate activist, film producer, screenwriter, educator, novelist, essayist, writer, actor, poet
higher education institution, also known as HEI, Higher Education school, institution of higher education, Superior Institute (wd:Q38723): institution that provides higher education (e.g., universities, ...es, liberal arts colleges, institutes of technology, and others)

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

Example 3:
Question:
where donald trump went to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q22686 wdt:P69 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q38723 .
}

Using entities:
Donald Trump, also known as President Donald Trump, President Donald J. Trump, President Trump, President Donald J Trump, Trump (wd:Q22686): president of the United States (2017–2021, 2025–present), real estate entrepreneur, chief executive officer, television producer, business magnate, businessperson, game show host, film producer, entrepreneur, politician, merchant, investor, writer, actor
higher education institution, also known as HEI, Higher Education school, institution of higher education, Superior Institute (wd:Q38723): institution that provides higher education (e.g., universities, ...es, liberal arts colleges, institutes of technology, and others)

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

[Assistant] The examples show that the property "educated at" (wdt:P69) is used to find the college or higher education institution a person attended. The entity for Margaret Hoover needs to be identified first. I will now search for the entity "Margaret Hoover" in Wikidata.

[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

[Assistant] The entity "Margaret Hoover" corresponding to the American political commentator (wd:Q6759529) seems to be the correct one. Now I will use the property "educated at" (wdt:P69) to find where Margaret Hoover went to college.

[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 rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT 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)  |

Albert Einstein was influenced by several people including Mahatma Gandhi, George Bernard Shaw, Paul Valéry, Thomas Young, Karl Pearson, Riazuddin, James Clerk Maxwell, Isaac Newton, Ernst Mach, and Fyodor Dostoyevsky among others.

[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?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what did einstein do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q937 wdt:P106 ?x .
}

Using entities:
Albert Einstein (wd:Q937): German-born theoretical physicist (1879–1955), physicist

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

Example 2:
Question:
who was arthur miller influenced by?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q80596 wdt:P737 ?x .
}

Using entities:
Arthur Miller, also known as Arthur Asher Miller (wd:Q80596): American playwright and essayist (1915–2005), screenwriter, prose writer, playwright, journalist, novelist, essayist, writer

Using properties:
influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as wdt): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”

Example 3:
Question:
who influenced wolfgang amadeus mozart?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q254 wdt:P737 ?x .
}

Using entities:
Wolfgang Amadeus Mozart, also known as Wolfgango Amadeo Mozart, W. A. Mozart, Volphnkank Amedaios Motsart, Wolfgang Amadeus Chrysostom Mozart, Wolfgang Gottlieb Mozart (wd:Q254): Austrian composer of the Classical period (1756-1791), music educator, violinist, organist, composer, musician, pianist

Using properties:
influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as wdt): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”

[Assistant] From the similar examples, the property "influenced by" (wdt:P737) is used to indicate who or what influenced a person. Albert Einstein is identified by wd:Q937. I will now write a SPARQL query to find the entities or things that influenced Albert Einstein using the property wdt:P737.

[Tool]
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)  |

[Tool] Stopped generation process