PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT ?vicePresident ?vicePresidentLabel WHERE {
  ?vicePresident p:P39 ?statement .
  ?statement ps:P39 wd:Q11699 ; pq:P580 ?startTime ; pq:P582 ?endTime .
  FILTER ( ?startTime <= "1963-11-22T00:00:00Z" ^^ xsd:dateTime && ?endTime >= "1961-01-20T00:00:00Z" ^^ xsd:dateTime && ?startTime >= "1961-01-20T00:00:00Z" ^^ xsd:dateTime ) OPTIONAL {
    ?vicePresident rdfs:label ?vicePresidentLabel FILTER ( LANG( ?vicePresidentLabel ) = "en" )
  }
}
LIMIT 10

Got 1 row and 2 columns:
| ?vicePresident               | ?vicePresidentLabel |
| ---------------------------- | ------------------- |
| Lyndon B. Johnson (wd:Q9640) | Lyndon B. Johnson   |

The vice president when John F. Kennedy was president was Lyndon B. Johnson.

[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 was vice president when jfk was president?

[Assistant] To answer the question "Who was vice president when JFK was president?", I will first identify the entity for JFK (John F. Kennedy) in Wikidata. Then, I will find the property that relates a president to their vice president. Finally, I will construct a query to get the vice president(s) during JFK's presidency.

[Tool]
Top 10 entity alternatives:
1. John F. Kennedy, also known as John Kennedy, John Fitzgerald Kennedy, John F Kennedy, Kennedy, President Kennedy (wd:Q9696): President of the United States from 1961 to 1963, anti-communist, naval officer, statesperson, journalist, politician, writer
2. John F. Kennedy, also known as CVN-79, PCU John F. Kennedy, USS John F. Kennedy (wd:Q240666): 2019 Gerald R. Ford-class aircraft carrier
3. MV John F. Kennedy, also known as IMO 8643195, John F. Kennedy (wd:Q29378914): Staten Island Ferry vessel.
4. John F Kennedy (wd:Q22006430): horse
5. John F. Kennedy (wd:Q130973914): sculpture by Evangelos Frudakis
6. John F. Kennedy, also known as John Flanders Kennedy (wd:Q28836957): American politician and member of the Georgia State Senate, politician
7. John F Kennedy (wd:Q42586306): cultural heritage monument in Aruba
8. Rosa 'John F. Kennedy', also known as John F. Kennedy (wd:Q83668459): rose cultivar
9. John F. Kennedy (wd:Q80912685): scientific article published on 01 November 1963
10. John F. Kennedy (wd:Q78526936): edition; published in 1997

[Assistant] I have identified John F. Kennedy as wd:Q9696 in Wikidata. Now I will search for the property that relates a president to their vice president. I will search for properties related to "vice president" to find the appropriate property.

[Tool]
Top 10 property alternatives:
1. substitute/deputy/replacement of office/officeholder, also known as deputy office, vice position, vice office, substitute office, replacement office (wd:P2098 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): function that serves as deputy/replacement of this function/office (scope/conditions vary depending on office)
2. Vie publique person ID, also known as ViePublique, VP (wd:P7676 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier for a public personality on Vie publique
3. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): official with the highest formal authority in a country/state, director / manager, chairperson
4. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): senior official in an educational institution., director / manager, chairperson
5. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): presiding member of an organization, group or body, director / manager, significant person
6. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
7. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): position of the head of this item
8. vice-county, also known as Praeger vice-county, Watsonian vice-county, vice county (wd:P1887 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): geographical delineation utilized for biological records in the British Isles
9. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): persons who hold and/or held the position
10. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): political office that is fulfilled by the head of state of this item

[Assistant] The property "substitute/deputy/replacement of office/officeholder" (wdt:P2098) seems to be related to the vice position or deputy office. I will check if John F. Kennedy (wd:Q9696) has a statement with this property to find his vice president.

[Tool] Got no rows and 3 columns

[Assistant] The property wdt:P2098 did not return any results for John F. Kennedy. I will try another approach. I will search for the property "vice president" specifically related to the office of President of the United States. I will first find the entity for "President of the United States" and then search for properties related to "vice president" for that entity.

[Tool]
Top 10 entity alternatives:
1. President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
2. cultural depictions of John F. Kennedy, also known as cultural depictions of JFK, cultural depictions of John Fitzgerald Kennedy, cultural depictions of President John F. Kennedy, cultural depictions of President Kennedy, President of the United States (wd:Q17512211): John F. Kennedy depicted in culture
3. President of the United States (wd:Q125680992): fictional position in the Grand Theft Auto video game series (HD)
4. Jimmy Carter, also known as James E. Carter, James Earl Carter, Jr., James E. Carter Jr., James E. Carter, Jr., 39th President of the United States (wd:Q23685): President of the United States from 1977 to 1981, human rights activist, environmentalist, autobiographer, businessperson, peace activist, naval officer, humanitarian, statesperson, submariner, politician, diplomat, engineer, novelist, farmer, writer
5. 2024 United States presidential election, also known as USA presidential election, 2024, US 2024 presidential election, POTUS 47, Harris v. Trump, Harris vs. Trump (wd:Q101110072): 60th quadrennial U.S. presidential election
6. Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States
7. President of Mexico, also known as President of the United Mexican States (wd:Q628004): head of state of the country of Mexico
8. Executive Office of the President of the United States, also known as EOP, EOPOTUS, Executive Office of the President, The White House, United States Executive Office of the President (wd:Q1355327): U.S. federal government office of the president of the United States
9. President-elect of the United States, also known as President-Elect (wd:Q1467287): winning candidate of the U.S. presidential election in the time before inauguration
10. The Presidents of the United States of America, also known as Pot USA, PotUSA, PUSA, The Presidents, The Presidents of the United States (wd:Q176430): American rock band

[Tool]
Top 10 property alternatives:
1. substitute/deputy/replacement of office/officeholder, also known as deputy office, vice position, vice office, substitute office, replacement office (wd:P2098 as p/wdt): function that serves as deputy/replacement of this function/office (scope/conditions vary depending on office)
2. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as p/wdt): persons who hold and/or held the position
3. elected in, also known as re-elected in, election (wd:P2715 as p/wdt): election in which a person gained a position (as qualifier), or a position or legislative term is/was elected (as main value)
4. organization directed by the office or position, also known as leader of, head of, leads, organization directed by, organization directed from the office (wd:P2389 as p/wdt): organization which is directed by this office
5. appointed by, also known as named by (wd:P748 as wdt/p): who appointed the person to the office, can be used as a qualifier
6. official residence, also known as resides at, lives in, palace, presidential mansion, presidential palace (wd:P263 as wdt/p): the residence at which heads of government and other senior figures officially reside, residence
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
8. subject has role, also known as has role, role, subject had role, subject of qualified statement has role, subject of statement has role (wd:P2868 as wdt/p): role/generic identity of the item ("subject") in the context of ...acting roles, use P453 ("character role"). For persons, use P39.
9. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name

No other items found

[Assistant] The property "substitute/deputy/replacement of office/officeholder" (wdt:P2098) is the relevant property for vice president in the context of the President of the United States (wd:Q11696). Since this property did not return results directly for John F. Kennedy, I will try a different approach: I will find the entity for John F. Kennedy's presidential term and then find the vice president for that term. I will search for John F. Kennedy's presidential term entity.

[Tool]
Top 10 entity alternatives:
1. John F. Kennedy presidential campaign, 1960, also known as 1960 presidential campaign of John F. Kennedy, John F. Kennedy 1960 presidential campaign (wd:Q29093696): 1960 United States presidential campaign of John F. Kennedy
2. Presidential transition of John F. Kennedy (wd:Q106925403): Transfer of U.S. presidential power
3. John F. Kennedy Presidential Library and Museum, also known as John Fitzgerald Kennedy Library Boston, Massachusetts, Kennedy Presidential Library, Kennedy Library, JFK Presidential Library, jfklibrary.org (wd:Q2007919): presidential library and museum for U.S. President John F. Kennedy in Boston, Massachusetts
4. John F. Kennedy's first presidential press conference (wd:Q19077519)
5. John F. Kennedy 1961 presidential inaugural ball (wd:Q123685704)
6. John F. Kennedy Presidential Library and Museum (wd:Q112007179): scientific article published on 18 October 2006
7. John F. Kennedy Presidential Campaign Files (NAID 23898391) (wd:Q63911290): series in the National Archives and Records Administration's holdings
8. John F. Kennedy's Presidential Nomination Acceptance Speech, also known as Equal to the Challenge (wd:Q19077532)
9. John F. Kennedy International Airport Terminal 8 (wd:Q128561890)
10. John F. Kennedy, also known as John Kennedy, John Fitzgerald Kennedy, John F Kennedy, Kennedy, President Kennedy (wd:Q9696): President of the United States from 1961 to 1963, anti-communist, naval officer, statesperson, journalist, politician, writer

[Assistant] There is no specific entity for John F. Kennedy's presidential term. I will try a different approach: I will query for the vice president of the United States (wd:Q11699) during the time period when John F. Kennedy was president (1961-1963). I will find the vice presidents who held office during that time.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] The query failed due to the use of SERVICE wikibase:label which is unsupported. I will rewrite the query without using SERVICE wikibase:label and instead use rdfs:label optionally. I will also simplify the query to find vice presidents who held the position during JFK's presidency (1961-1963).

[Tool]
Got 2 rows and 2 columns:
| ?vicePresident               | ?vicePresidentLabel |
| ---------------------------- | ------------------- |
| Richard Nixon (wd:Q9588)     | Richard Nixon       |
| Lyndon B. Johnson (wd:Q9640) | Lyndon B. Johnson   |

[Assistant] The query returned two vice presidents during the time JFK was president: Richard Nixon and Lyndon B. Johnson. However, Richard Nixon was not vice president during JFK's presidency; he was vice president under Eisenhower before JFK's term. The correct vice president during JFK's presidency was Lyndon B. Johnson. I will refine the query to exclude vice presidents whose term ended before JFK's presidency started (1961-01-20).

[Tool]
Got 1 row and 2 columns:
| ?vicePresident               | ?vicePresidentLabel |
| ---------------------------- | ------------------- |
| Lyndon B. Johnson (wd:Q9640) | Lyndon B. Johnson   |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT ?governor ?governorLabel ?start ?end WHERE {
  ?governor p:P39 ?statement .
  ?statement ps:P39 wd:Q17989863 ; pq:P580 ?start ; pq:P582 ?end .
  FILTER ( YEAR( ?start ) <= 2011 && YEAR( ?end ) >= 2011 ) OPTIONAL {
    ?governor rdfs:label ?governorLabel FILTER ( LANG( ?governorLabel ) = "en" )
  }
}
ORDER BY ?start
LIMIT 10

The governors of Ohio in 2011 were Ted Strickland, who served until January 10, 2011, and John Kasich, who started his term on January 10, 2011. Therefore, Ted Strickland was governor at the beginning of 2011, and John Kasich was governor after January 10, 2011.

[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 governor of ohio 2011?

[Assistant]
To answer the question "Who is the governor of Ohio in 2011?", I need to find the entity for Ohio and then find the person who held the position of governor of Ohio in the year 2011.

Step 1: Search for the entity representing Ohio.
Step 2: Search for the property representing the position of governor.
Step 3: Query for the governor of Ohio with a time constraint for the year 2011.

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

[Tool]
Top 10 entity alternatives:
1. Ohio, also known as US-OH, State of Ohio, OH, Buckeye State, Ohio, United States (wd:Q1397): state of the United States of America
2. Ohio, also known as Buckeye State, OH, US-OH, Ohio, United States, State of Ohio (wd:Q1397): state of the United States of America
3. Ohio, also known as Ohio, IL, Ohio, Illinois (wd:Q944935): village in Bureau County, Illinois, United States
4. Ohio, also known as Ohio, New York, Ohio, NY (wd:Q927274): town in New York, United States
5. Ohio (wd:Q2137506): protest song written and composed by Neil Young
6. Ohio (wd:Q7080727): song from the 1953 Broadway musical "Wonderful Town"
7. Ohio, also known as Ohio, MO, Ohio, Missouri (wd:Q21197484): human settlement in St. Clair County, Missouri, United States
8. Ohio, also known as Ohio, Kansas (wd:Q48849126): place in Kansas, United States
9. Ohio, also known as Ohio, Texas, Ohio, TX (wd:Q24260758): human settlement in United States of America
10. USS Turquoise, also known as Walucia III, Esmeraldas, USS PC-459, Turquoise, PY-18 Turquoise (wd:Q23003188): private motor yacht, later a patrol yacht for the U.S. Navy and Ecuadorian Navy

[Assistant] The entity for Ohio as a state of the United States of America is wd:Q1397. Next, I need to find the property or position related to the governor of Ohio. I will search for the property "governor" to find the relevant property for the governor position.

[Tool]
Top 10 property alternatives:
1. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): official with the highest formal authority in a country/state, director / manager, chairperson
2. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
3. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): political office that is fulfilled by the head of state of this item
4. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
5. country, also known as sovereign state, state, land, host country (wd:P17 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. official residence, also known as resides at, lives in, palace, presidential mansion, presidential palace (wd:P263 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): the residence at which heads of government and other senior figures officially reside, residence
7. position held, also known as function, held position, holds position, job, office held (wd:P39 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): subject currently or formerly holds the object position or public office
8. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): person(s) or political organization(s) elected after the election, candidate, winner
9. chief executive officer, also known as executive director, CEO, chief executive (wd:P169 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): highest-ranking corporate officer appointed as the CEO within an organization, director / manager, corporate officer
10. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): senior official in an educational institution., director / manager, chairperson

[Assistant]
The property "position held" (wdt:P39) is used to indicate the position or office held by a person. This property is suitable to find the governor of Ohio.

Next, I will search for the entity representing the position "Governor of Ohio" to use it in the query.

[Tool]
Top 10 entity alternatives:
1. Governor of Ohio, also known as Governor of the State of Ohio, Ohio Governor (wd:Q17989863): head of state and of government of the U.S. state of Ohio
2. Lieutenant Governor of Ohio, also known as Ohio Lieutenant Governor (wd:Q1660669): political office in Ohio, USA
3. Cabinet of the Governor of Ohio (wd:Q5015582)
4. Allen, William (governor of Ohio) (wd:Q115677191): article in The Biographical Dictionary of America
5. family of the Governor of Ohio, also known as First Family of Ohio (wd:Q111903237)
6. Ohio State Office of the Governor (wd:Q33121995): government organization in Columbus, United States
7. Portrait of William Bebb, Governor of Ohio (wd:Q131839779)
8. Portrait of Charles Anderson (governor), Governor of Ohio (wd:Q125555578): painting by Charles T. Webber
9. Portrait of Mordecai Bartley, Governor of Ohio (wd:Q131402143): painting by Richard T. Clarke (1820-1885)
10. Doctor Edward Tiffin, first governor of Ohio. (wd:Q52529336): scientific article published in September 1947

[Assistant]
The entity for the position "Governor of Ohio" is wd:Q17989863. Now I will construct a SPARQL query to find the person who held the position of Governor of Ohio (wd:Q17989863) in the year 2011. This requires checking the position held (wdt:P39) with a time constraint for the year 2011.

I will write a query to find the governor of Ohio in 2011.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant]
The query failed due to the use of SERVICE wikibase:label which is not supported by the endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label to get the governor's name.

I will try again with the corrected query.

[Tool]
Got 2 rows and 2 columns:
| ?governor                   | ?governorLabel |
| --------------------------- | -------------- |
| Ted Strickland (wd:Q465295) | Ted Strickland |
| John Kasich (wd:Q69319)     | John Kasich    |

[Assistant]
The query returned two governors for Ohio in 2011: Ted Strickland and John Kasich. This suggests a transition of office in that year. To clarify, I will check the exact start and end dates of their terms as governor of Ohio.

I will modify the query to include the start and end dates of the position held.

[Tool]
Got 2 rows and 4 columns:
| ?governor                   | ?governorLabel | ?start               | ?end                 |
| --------------------------- | -------------- | -------------------- | -------------------- |
| Ted Strickland (wd:Q465295) | Ted Strickland | 2007-01-08T00:00:00Z | 2011-01-10T00:00:00Z |
| John Kasich (wd:Q69319)     | John Kasich    | 2011-01-10T00:00:00Z | 2019-01-14T00:00:00Z |

[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 ?actor ?actorLabel WHERE {
  VALUES ?lexLuthorVersion {
    wd:Q694790 wd:Q110800327 wd:Q91371653 wd:Q105123177 wd:Q735712
  }
  ?lexLuthorVersion wdt:P175 ?actor .
  OPTIONAL {
    ?actor rdfs:label ?actorLabel FILTER ( LANG( ?actorLabel ) = "en" )
  }
}

Got 8 rows and 2 columns:
| ?actor                         | ?actorLabel       |
| ------------------------------ | ----------------- |
| Gene Hackman (wd:Q150943)      | Gene Hackman      |
| Lucas Grabeel (wd:Q215488)     | Lucas Grabeel     |
| Jesse Eisenberg (wd:Q219512)   | Jesse Eisenberg   |
| Nicholas Hoult (wd:Q298347)    | Nicholas Hoult    |
| Jon Cryer (wd:Q310367)         | Jon Cryer         |
| Michael Rosenbaum (wd:Q311613) | Michael Rosenbaum |
| Connor Stanhope (wd:Q72910547) | Connor Stanhope   |
| Wayne Dalglish (wd:Q7976164)   | Wayne Dalglish    |

The actors who have played Lex Luthor in various media are Gene Hackman, Lucas Grabeel, Jesse Eisenberg, Nicholas Hoult, Jon Cryer, Michael Rosenbaum, Connor Stanhope, and Wayne Dalglish.

[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 has played lex luthor?

[Assistant]
To answer the question "Who has played Lex Luthor?", I need to identify the entity for "Lex Luthor" and then find the property that relates this character to the actors who have played him.

Step 1: Search for the entity "Lex Luthor" in Wikidata.
Step 2: Identify the property that links a character to the actors who have portrayed them.
Step 3: Query the actors who have played Lex Luthor.

I will start by searching for the entity "Lex Luthor."

[Tool]
Top 10 entity alternatives:
1. Lex Luthor, also known as Alexander Joseph Luthor, Alexander Luthor, Alexander Joseph "Lex" Luthor (wd:Q694790): supervillain appearing in DC Comics publications and related media, chief executive officer, business executive, business magnate, drug trafficker, philanthropist, mass murderer, roboticist, crime boss, superhero, physicist, engineer, inventor, chemist
2. Lex Luthor, also known as Alexander Joseph "Lex" Luthor, Jr. (wd:Q110800327): DC Extended Universe character, chief executive officer, business executive, philanthropist, mass murderer, scientist, socialite, terrorist, engineer, criminal
3. Green Skull, also known as Alexander Luthor, Lex Luthor (wd:Q9300166): fictional character in Amalgam Comics
4. Lex Luthor, also known as Alexander Joseph Luthor (wd:Q91371653): fictional character from the television series Supergirl, time traveller, businessperson, politician, terrorist, criminal, inventor
5. Lex Luthor (wd:Q105123177): villain in the film Superman (1978), scientist, criminal, inventor
6. Lex Lutor, also known as Alexander Luthor, Lex Luthor (Smallville) (wd:Q735712): fictional character from the television series Smallville, businessperson, murderer
7. Lex Luthor, Jr. (wd:Q3831418): American investor, criminal, investor
8. Eve Teschmacher, also known as Eve, Lex Luthor's Girlfriend (wd:Q22266383): DC Comics character, secretary
9. Vitor Miranda, also known as Vitor "Lex Luthor" Miranda (wd:Q7937196): mixed martial arts fighter, Brazilian martial artist, Thai boxer, kickboxer
10. Lex Luthor's Presidency (wd:Q18280092)

[Assistant]
The main entity for the character Lex Luthor is wd:Q694790, which represents the supervillain appearing in DC Comics publications and related media.

Next, I need to find the property that links this character to the actors who have portrayed him. This is typically a property like "portrayed by" or "actor."

I will search for properties related to "portrayed by" or "actor" for the entity Lex Luthor (wd:Q694790).

[Tool]
Top 10 property alternatives:
1. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
2. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as wdt/p): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
4. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
5. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
6. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as p/wdt): generic character type that this fictional character represents, manifestation of
7. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as p): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
8. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
9. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt/p): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
10. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdt/p): subject currently or formerly holds the object position or public office

No other items found

[Assistant]
The property "performer" (wdt:P175) is used to indicate the actor or performer associated with a role or work. This property is suitable to find the actors who have played Lex Luthor.

I will now write a SPARQL query to find the performers (actors) who have played the character Lex Luthor (wd:Q694790) using the property wdt:P175. I will also include the actor's label for better readability.

[Tool]
Got 1 row and 2 columns:
| ?actor                      | ?actorLabel    |
| --------------------------- | -------------- |
| Nicholas Hoult (wd:Q298347) | Nicholas Hoult |

[Assistant]
The query returned only one actor, Nicholas Hoult, who has played Lex Luthor. However, I know from general knowledge that there have been multiple actors who played this character in different media.

I will refine the query to also consider instances where Lex Luthor is a character in a work (e.g., a film or TV series) and find the actors who portrayed him in those works. This can be done by looking for entities where Lex Luthor is a character and then finding the actors associated with those works.

I will try to find works where Lex Luthor is a character using property "character in" (wdt:P1441) and then find the actors who performed in those works.

[Tool] Got no rows and 2 columns

[Assistant]
The query to find actors who performed in works where Lex Luthor is a character returned no results. This approach might not be effective.

I will try another approach: find the instances of Lex Luthor as a character in different media (e.g., films, TV shows) and then find the actors who played those instances. For this, I will search for entities that are instances of Lex Luthor (wd:Q694790) or subclasses and then find the actors who portrayed those entities.

I will start by searching for subclasses or instances of Lex Luthor.

[Tool] Got no rows and 2 columns

[Assistant]
There are no direct instances of Lex Luthor (wd:Q694790) in the knowledge graph.

I will try to find different versions or adaptations of Lex Luthor by searching for entities with "Lex Luthor" in their label and then find the actors who played those versions.

I will search for entities with the label "Lex Luthor" to find different versions or adaptations.

[Tool]
Top 10 entity alternatives:
1. Lex Luthor, also known as Alexander Joseph Luthor, Alexander Luthor, Alexander Joseph "Lex" Luthor (wd:Q694790): supervillain appearing in DC Comics publications and related media, chief executive officer, business executive, business magnate, drug trafficker, philanthropist, mass murderer, roboticist, crime boss, superhero, physicist, engineer, inventor, chemist
2. Lex Luthor, also known as Alexander Joseph "Lex" Luthor, Jr. (wd:Q110800327): DC Extended Universe character, chief executive officer, business executive, philanthropist, mass murderer, scientist, socialite, terrorist, engineer, criminal
3. Green Skull, also known as Alexander Luthor, Lex Luthor (wd:Q9300166): fictional character in Amalgam Comics
4. Lex Luthor, also known as Alexander Joseph Luthor (wd:Q91371653): fictional character from the television series Supergirl, time traveller, businessperson, politician, terrorist, criminal, inventor
5. Lex Luthor (wd:Q105123177): villain in the film Superman (1978), scientist, criminal, inventor
6. Lex Lutor, also known as Alexander Luthor, Lex Luthor (Smallville) (wd:Q735712): fictional character from the television series Smallville, businessperson, murderer
7. Lex Luthor, Jr. (wd:Q3831418): American investor, criminal, investor
8. Eve Teschmacher, also known as Eve, Lex Luthor's Girlfriend (wd:Q22266383): DC Comics character, secretary
9. Vitor Miranda, also known as Vitor "Lex Luthor" Miranda (wd:Q7937196): mixed martial arts fighter, Brazilian martial artist, Thai boxer, kickboxer
10. Lex Luthor's Presidency (wd:Q18280092)

[Assistant]
There are multiple entities related to Lex Luthor, including different versions in various media:
- Lex Luthor (wd:Q694790) - main character
- Lex Luthor (DC Extended Universe) (wd:Q110800327)
- Lex Luthor from Supergirl (wd:Q91371653)
- Lex Luthor from Superman (1978) (wd:Q105123177)
- Lex Luthor from Smallville (wd:Q735712)

I will now try to find the actors who played these different versions by querying the "performer" (wdt:P175) property for each of these entities.

I will write a query that retrieves actors for these Lex Luthor entities.

[Tool]
Got 8 rows and 2 columns:
| ?actor                         | ?actorLabel       |
| ------------------------------ | ----------------- |
| Gene Hackman (wd:Q150943)      | Gene Hackman      |
| Lucas Grabeel (wd:Q215488)     | Lucas Grabeel     |
| Jesse Eisenberg (wd:Q219512)   | Jesse Eisenberg   |
| Nicholas Hoult (wd:Q298347)    | Nicholas Hoult    |
| Jon Cryer (wd:Q310367)         | Jon Cryer         |
| Michael Rosenbaum (wd:Q311613) | Michael Rosenbaum |
| Connor Stanhope (wd:Q72910547) | Connor Stanhope   |
| Wayne Dalglish (wd:Q7976164)   | Wayne Dalglish    |

[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 ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q8027 wdt:P20 ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel FILTER ( LANG( ?placeOfDeathLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?placeOfDeath       | ?placeOfDeathLabel |
| ------------------- | ------------------ |
| Memphis (wd:Q16563) | Memphis            |

Martin Luther King Jr. was assassinated in the town of Memphis.

[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 town was martin luther king assassinated in?

[Assistant]
To answer the question "What town was Martin Luther King assassinated in?", I need to identify the entity for Martin Luther King and find the property related to the place or town of his assassination.

Step 1: Search for the entity "Martin Luther King" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Martin Luther King Sr., also known as Martin Luther King (wd:Q2603376): American baptist pastor (1899–1984), Christian minister
2. Martin Luther King (wd:Q123135762): Indian Telugu-language political satire film directed by Puja Kolluru
3. Martin Luther King (wd:Q124695769): painting by Alexey Akindinov
4. Martin Luther King (wd:Q126859789): written work by Mario Escobar
5. Martin Luther King (wd:Q126859837): 2006 edition of written work by Mario Escobar
6. Martin Luther King (wd:Q127414862): railway underpass in Helmond, the Netherlands
7. Martin Luther King (wd:Q19338319): street in Culemborg, the Netherlands
8. Martin Luther King (wd:Q52755150): primary school in Pistoia, Pistoia, Tuscany, Italy
9. Martin Luther King (wd:Q52782068): primary school in Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
10. Martin Luther King (wd:Q52801085): primary school in Cesano Maderno, Monza and Brianza, Lombardy, Italy

[Assistant] The relevant entity for Martin Luther King is wd:Q2603376 (Martin Luther King Sr. is a different person, so I need to find the correct Martin Luther King, the civil rights leader). I will search again with a more specific query "Martin Luther King Jr." to find the civil rights leader.

[Tool]
Top 10 entity alternatives:
1. Martin Luther King Jr. (wd:Q8027): American Baptist minister and civil rights leader (1929–1968), human rights activist, civil rights advocate, opinion journalist, peace activist, politician, preacher, pacifist, writer, pastor
2. Martin Luther King Jr. (wd:Q16974341): station on the Crenshaw Line, currently under construction
3. Martin Luther King, Jr. (wd:Q6776048): sculpture by John Woodrow Wilson
4. Martin Luther King Jr. (wd:Q39073111): Outdoor bronze sculpture depicting the American civil rights leader  installed on the University of Texas at Austin campus.
5. Martin Luther King, Jr. (wd:Q111842410): sculpture by artist unknown
6. Martin Luther King, Jr. (wd:Q116445650): print at the Metropolitan Museum of Art (MET, 2022.102)
7. Martin Luther King, Jr. (wd:Q47509396): painting by Robert Vickrey
8. Martin Luther King, Jr. (wd:Q47511447): painting by Boris Chaliapin
9. Martin Luther King, Jr. (wd:Q63570975): technical material in the National Gallery of Art (NGA 59039)
10. Martin Luther King, Jr. (wd:Q65577725): print in the National Gallery of Art (NGA 59040)

[Assistant]
The correct entity for Martin Luther King Jr., the American Baptist minister and civil rights leader, is wd:Q8027.

Step 2: Now I will search for properties related to "assassination place" or "place of death" for this entity.

[Tool]
Top 10 property alternatives:
1. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as wdt/p): person or organization who killed the subject, significant person
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as p/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
4. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as wdt/p): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. image of grave, also known as headstone picture, image of gravestone, image of cenotaph, image of grave, image of shrine (wd:P1442 as p/wdt): picture of a person or animal's grave, gravestone or tomb, image
7. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
8. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in

No other items found

[Assistant]
The property "place of death" (wdt:P20) seems to be the most relevant to find the town where Martin Luther King Jr. was assassinated.

Step 3: I will now query the place of death for Martin Luther King Jr. (wd:Q8027).

[Tool]
Got 1 row and 2 columns:
| ?placeOfDeath       | ?placeOfDeathLabel |
| ------------------- | ------------------ |
| Memphis (wd:Q16563) | Memphis            |

[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 ?country ?countryLabel ?continent ?continentLabel WHERE {
  wd:Q6583 wdt:P17 ?country .
  ?country rdfs:label ?countryLabel .
  FILTER ( LANG( ?countryLabel ) = "en" ) wd:Q6583 wdt:P30 ?continent .
  ?continent rdfs:label ?continentLabel .
  FILTER ( LANG( ?continentLabel ) = "en" )
}

Got 10 rows and 4 columns:
| ?country              | ?countryLabel | ?continent      | ?continentLabel |
| --------------------- | ------------- | --------------- | --------------- |
| Mauritania (wd:Q1025) | Mauritania    | Africa (wd:Q15) | Africa          |
| Morocco (wd:Q1028)    | Morocco       | Africa (wd:Q15) | Africa          |
| Niger (wd:Q1032)      | Niger         | Africa (wd:Q15) | Africa          |
| Sudan (wd:Q1049)      | Sudan         | Africa (wd:Q15) | Africa          |
| France (wd:Q142)      | France        | Africa (wd:Q15) | Africa          |
| Algeria (wd:Q262)     | Algeria       | Africa (wd:Q15) | Africa          |
| Chad (wd:Q657)        | Chad          | Africa (wd:Q15) | Africa          |
| Egypt (wd:Q79)        | Egypt         | Africa (wd:Q15) | Africa          |
| Mali (wd:Q912)        | Mali          | Africa (wd:Q15) | Africa          |
| Tunisia (wd:Q948)     | Tunisia       | Africa (wd:Q15) | Africa          |

The Sahara Desert (wd:Q6583) is located on the continent Africa (wd:Q15). It spans multiple countries including Mauritania, Morocco, Niger, Sudan, France, Algeria, Chad, Egypt, Mali, and Tunisia.

[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 are the sahara desert located?

[Assistant] The user is asking for the location of the Sahara Desert. To answer this, I need to find the entity for "Sahara Desert" and then find its location. The location could be represented by properties such as "located in" or "coordinate location" or "country" or "continent." I will start by searching for the entity "Sahara Desert" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Sahara, also known as the Desart, Zara, Zahara, Zaara, The Sahara (wd:Q6583): desert on the African continent
2. Sahara Desert (wd:Q3889421): ecoregion
3. Sahara (Desert) (wd:Q104765650): painting by Jan Ciągliński (MNK MNK II-b-422)
4. Sahara (Desert) (wd:Q104765639): painting by Jan Ciągliński (MNK MNK II-b-419)
5. Sahara (Desert) (wd:Q104765619): painting by Jan Ciągliński (MNK MNK II-b-426)
6. Sahara (Desert) (wd:Q104765585): painting by Jan Ciągliński
7. Sahara desert (wd:L643007-S1)
8. Sahara desert (wd:L300591-S1)
9. Sahara Desert (wd:L1411251-S1)
10. Cataglyphis bicolor, also known as Sahara desert ant (wd:Q1717126): species of insect

[Assistant] The Sahara Desert is represented by the entity wd:Q6583 in Wikidata. Now I will look for properties that describe the location of this entity. I will search for properties related to location for the entity Sahara (wd:Q6583).

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
4. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
5. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
6. continent (wd:P30 as wdt/p): continent of which the subject is a part, located in/on physical feature
7. length, also known as size, long, LOA, distance, dimension (wd:P2043 as wdt/p): measured dimension of an object
8. width, also known as breadth, bus width, size (wd:P2049 as p/wdt): width of an object, length
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
10. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name

No other items found

[Assistant]
The relevant properties for location of the Sahara Desert (wd:Q6583) are:
- coordinate location (wdt:P625)
- located in the administrative territorial entity (wdt:P131)
- country (wdt:P17)
- continent (wdt:P30)

I will now write a query to get the coordinate location, countries, and continent of the Sahara Desert.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] The query failed because the SERVICE wikibase:label is not supported by the endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional clauses with rdfs:label to get the labels for country and continent.

[Tool]
Got 10 rows and 5 columns:
| ?coordinateLocation        | ?country              | ?countryLabel | ?continent      | ?continentLabel |
| -------------------------- | --------------------- | ------------- | --------------- | --------------- |
| POINT(12.612222 23.079722) | Mauritania (wd:Q1025) | Mauritania    | Africa (wd:Q15) | Africa          |
| POINT(12.612222 23.079722) | Morocco (wd:Q1028)    | Morocco       | Africa (wd:Q15) | Africa          |
| POINT(12.612222 23.079722) | Niger (wd:Q1032)      | Niger         | Africa (wd:Q15) | Africa          |
| POINT(12.612222 23.079722) | Sudan (wd:Q1049)      | Sudan         | Africa (wd:Q15) | Africa          |
| POINT(12.612222 23.079722) | France (wd:Q142)      | France        | Africa (wd:Q15) | Africa          |
| POINT(12.612222 23.079722) | Algeria (wd:Q262)     | Algeria       | Africa (wd:Q15) | Africa          |
| POINT(12.612222 23.079722) | Chad (wd:Q657)        | Chad          | Africa (wd:Q15) | Africa          |
| POINT(12.612222 23.079722) | Egypt (wd:Q79)        | Egypt         | Africa (wd:Q15) | Africa          |
| POINT(12.612222 23.079722) | Mali (wd:Q912)        | Mali          | Africa (wd:Q15) | Africa          |
| POINT(12.612222 23.079722) | Tunisia (wd:Q948)     | Tunisia       | Africa (wd:Q15) | Africa          |

[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 ?currency ?currencyLabel WHERE {
  wd:Q766 wdt:P38 ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel FILTER ( LANG( ?currencyLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?currency                    | ?currencyLabel  |
| ---------------------------- | --------------- |
| Jamaican dollar (wd:Q209792) | Jamaican dollar |

The currency of Jamaica is called the Jamaican dollar.

[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 jamaican money called?

[Assistant] The user is asking for the name of the currency used in Jamaica. I will search for the entity "Jamaica" in Wikidata and then find the property related to the currency used in that country. The property for currency is usually "currency" (P38). I will verify this by searching for the property "currency" first. Then I will query the currency of Jamaica.

[Tool]
Top 10 entity alternatives:
1. Jamaica, also known as JA, JM, JAM, Commonwealth of Jamaica (wd:Q766): island state in the Caribbean Sea
2. Jamaica men's national association football team, also known as Jamaica, Reggae Boyz, Jamaica national soccer team, Jamaica national football team, Jamaica national association football team (wd:Q235399): men's national association football team representing Jamaica
3. Jamaica, also known as Jamaica, Iowa, Jamaica, IA (wd:Q1913470): city in Iowa, United States
4. Jamaica, also known as Jamaica, Vermont, Jamaica, VT (wd:Q3450853): town in Vermont, United States
5. Jamaica, also known as Jamaica, New York City, Jamaica, Queens (wd:Q1320403): neighborhood of Queens, New York City, United States
6. Colony of Jamaica, also known as Jamaica and Dependencies, Jamaica Colony, Jamaica (wd:Q2526023): British colony on the island of Jamaica, 1655–1962
7. Jamaica (wd:Q11310077): Long Island Rail Road train station in Queens, New York
8. Jamaica, also known as Island of Jamaica, Jamaica island, main island of Jamaica, mainland Jamaica (wd:Q27119301): largest island of Jamaica, comprising most of its territory
9. Jamaica, also known as Jamaica metro station, Jamaica station (wd:Q3377006): metro station in Mexico City
10. Jamaica, also known as Poney Poney (wd:Q943535): French band

[Tool]
Top 10 property alternatives:
1. currency, also known as base currency, used money (wd:P38 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): currency used by item, uses
2. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier for a currency per ISO 4217
3. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): published price listed or paid for a product (use with unit of currency)
4. prize money, also known as money, purse, value (wd:P2121 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): amount in a specific currency
5. cash (wd:P2232 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): the value of cash and securities held by a state government
6. currency symbol description (wd:P489 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): item with description of currency symbol, notation
7. face value, also known as coin value, numeric value of coin, value of coin (wd:P3934 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): value printed on a coin, stamp or banknote by the issuing authority
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): qualifier to define a property constraint in combination with "property constraint" (P2302)
10. numeric value, also known as numerical value, value (wd:P1181 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): numerical value of a number, a mathematical constant, or a physical constant

[Assistant] The entity for Jamaica is wd:Q766 and the property for currency is wd:P38. I will now write a SPARQL query to get the currency of Jamaica.

[Tool]
Got 1 row and 2 columns:
| ?currency                    | ?currencyLabel  |
| ---------------------------- | --------------- |
| Jamaican dollar (wd:Q209792) | Jamaican dollar |

[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 ?placeOfBirth ?placeOfBirthLabel ?country ?countryLabel WHERE {
  wd:Q9441 wdt:P19 ?placeOfBirth .
  ?placeOfBirth wdt:P17 ?country .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel FILTER ( LANG( ?placeOfBirthLabel ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}
LIMIT 10

Buddha's place of birth is Lumbini, and the country is Nepal.

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

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

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

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

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

[User] what country did buddha come from?

[Assistant]
To answer the question "What country did Buddha come from?" I need to identify the entity "Buddha" in Wikidata and then find the country associated with his origin or birth.

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

[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 "Buddha" that matches the question is wd:Q9441, which refers to Siddhartha Gautama, the Indian philosopher and founder of Buddhism.

Step 2: Now I will find the country associated with Buddha's origin or birth. I will look for properties related to place of birth or country of origin for the entity wd:Q9441.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
4. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as p/wdt): what the place, monument, memorial, or holiday, commemorates, main subject
5. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): dissolved, abolished or demolished date, date on which the subject died, end time
6. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt/p): the place where the person is or has been, resident, location
7. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
9. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
10. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)

No other items found

[Assistant]
The property "place of birth" (wdt:P19) is the most relevant to find the country Buddha came from.

Step 3: I will query the place of birth for Buddha (wd:Q9441) and then find the country of that place.

[Tool]
Got 1 row and 4 columns:
| ?placeOfBirth      | ?placeOfBirthLabel | ?country        | ?countryLabel |
| ------------------ | ------------------ | --------------- | ------------- |
| Lumbini (wd:Q9213) | Lumbini            | Nepal (wd:Q837) | Nepal         |

[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 .
  ?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]
The user is asking for the county in which Kansas City, Kansas is located. To answer this, I need to:

1. Identify the entity for "Kansas City, Kansas" in Wikidata.
2. Find the property that relates a city or place to its county.
3. Query the county for Kansas City, Kansas.

I will start by searching for the entity "Kansas City, Kansas" in Wikidata.

[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]
I found the entity for Kansas City, Kansas: wd:Q486472. It is described as the city and county seat of Wyandotte County, State of Kansas, United States.

Next, I want to confirm the property that relates a city to its county. I will search for properties related to "county" for this entity.

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as wdt/p): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
3. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as p/wdt): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as p/wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.
6. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
7. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as p/wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
8. locator map image, also known as locator map, map image, map (wd:P242 as p/wdt): geographic map image which highlights the location of the subject within some larger entity, image
9. population, also known as inhabitants, human population (wd:P1082 as p/wdt): number of people inhabiting the place; number of people of subject

No other items found

[Assistant]
The property "located in the administrative territorial entity" (wdt:P131) is commonly used to indicate the administrative division a place belongs to, including counties.

I will now query the county for Kansas City, Kansas (wd:Q486472) using this property. I will also retrieve the label of the county for clarity.

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

[Tool] Stopped generation process