PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?governmentType ?governmentTypeLabel WHERE {
  wd:Q408 wdt:P122 ?governmentType .
  OPTIONAL {
    ?governmentType rdfs:label ?governmentTypeLabel FILTER ( LANG( ?governmentTypeLabel ) = "en" )
  }
}

Using entities:
Australia (wd:Q408), also known as AU, AUS, Aussieland, Commonwealth of Australia, Down Under, etc.

Using properties:
basic form of government (wd:P122 as wdt), also known as form of government, government, type of government, P122

Got 3 rows and 2 columns:
| governmentType                        | governmentTypeLabel           |
| ------------------------------------- | ----------------------------- |
| representative democracy (wd:Q188759) | representative democracy (en) |
| constitutional monarchy (wd:Q41614)   | constitutional monarchy (en)  |
| federation (wd:Q43702)                | federation (en)               |

Answer:
I searched Wikidata for the property that corresponds to "government type" and found "basic form of government" (wdt:P122). I queried Australia (wd:Q408) for values of P122. The query returned three government-type items:
- wd:Q188759 — representative democracy
- wd:Q41614  — constitutional monarchy
- wd:Q43702  — federation
So, Australia is a constitutional monarchy and a federation with a representative democracy (i.e., a federal parliamentary constitutional monarchy with representative democracy).

what type of government does australia have?

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] what type of government does australia have?

[Assistant] I will search for the Wikidata property that corresponds to "government type", then look up Australia (Q408) to find the value. I'll first search for properties matching "government type". I'll explain each step and run the necessary queries.

[Tool]
Top 10 property alternatives:
1. basic form of government (wd:P122 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via type of government), also known as form of government, government, type of government, P122: the subject's government / the subject's government / subject's government
2. capital (wd:P36 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via government capital), also known as administrative capital, administrative center, administrative centre, administrative headquarters, administrative seat, etc.: location (city, municipality) of governmental seat of the country, or administrative territorial entity / seat of government of a country, province, state or other type of administrative territorial entity / city of governmental seat of the country, state or administrative subdivision
3. employer (wd:P108 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via organization), also known as employed by, of employer, organisation, organization, worked at, etc.: person or organization for which the subject works or worked / organisation for which the subject works or worked / organization for which the subject works or worked / is subproperty of affiliation
4. Historical Gazetteer (GOV) ID (wd:P2503 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via GOV-ID), also known as GOV ID, GOV-ID, P2503: Historical Gazetteer
5. government.ru person ID (wd:P12598 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via government.ru ID), also known as government.ru ID, P12598: identifier for a minister or senior official on government.ru
6. Classification of the Functions of Government (wd:P9798 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as COFOG ID, COFOG number, P9798: UN classification to compare government agencies across countries
7. office held by head of government (wd:P1313 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via head of government's office), also known as head of government's office, office of head of government, position held by head of government, position of head of government, title of head of government, etc.: political office that is fulfilled by the head of the government of this item / political office that is fulfilled by the head of the government of this item
8. authority (wd:P797 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via governing authority), also known as executive authority, governed by, governing authority, governing body, has authority, etc.: entity having executive power on given entity / entity having executive power on given entity
9. head of government (wd:P6 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as chancellor, executive power headed by, first minister, government headed by, governor, etc.: head of the executive power of this town, city, municipality, state, country, or other governmental body / head of the executive power of a town, city, municipality, state, country, or other governmental body / head of the executive power of a town, city, municipality, state, country, or other governmental body / is subproperty of director / manager / is subproperty of director/manager / is subproperty of manager/director / is subproperty of chairperson
10. head of state (wd:P35 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via governor), also known as chief of state, emperor, governor, king, leader, etc.: official with the highest formal authority in a country/state / official with the highest formal authority in a country / official with the highest formal authority in a country / is subproperty of director / manager / is subproperty of director/manager / is subproperty of manager/director / is subproperty of chairperson

[Assistant] I'll search for the Wikidata item for "Australia" to confirm its identifier.

[Tool]
Top 10 entity alternatives:
1. Australia (wd:Q408), also known as AU, AUS, Aussieland, Commonwealth of Australia, Down Under, etc.: is instance of sovereign state / is instance of federation / is instance of country / country in Oceania / country in Oceania / country in Oceania / country in Oceania
2. Australian continent (wd:Q3960, matched via Australia), also known as Australia, Australia (continent), Australinea, Meganesia, New Holland, etc.: continent in the Earth's Southern Hemisphere / continent in Earth's Southern Hemisphere / is instance of continent / continent
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann / is instance of film
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien / is instance of film
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers / is instance of single
6. Australia (wd:Q16835533): is instance of Horse / is instance of horse / Racehorse
7. Australia (wd:Q781244): is instance of board game / board game
8. Australia (wd:Q4823541), also known as Australia (KA–5): yacht that raced in the Americas Cup / is instance of sailing yacht
9. Australia (wd:Q12887638): village and ''consejo popular'' in Cuba / is instance of human settlement
10. Australia (wd:Q25907685): albedo feature on the planet Mercury / is instance of albedo feature

[Assistant] I'll inspect the property "basic form of government" (P122) to confirm usage and get its label and description.

[Tool]
Got 2,657 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                            | object                                    |
| ------------------------------------ | ----------------------------------- | ----------------------------------------- |
| United States (wd:Q30)               | basic form of government (wdt:P122) | presidential system (wd:Q49892)           |
| Turkey (wd:Q43)                      | basic form of government (wdt:P122) | unitary state (wd:Q179164)                |
| Russia (wd:Q159)                     | basic form of government (wdt:P122) | super-presidential republic (wd:Q4446300) |
| Japan (wd:Q17)                       | basic form of government (wdt:P122) | constitutional monarchy (wd:Q41614)       |
| Italy (wd:Q38)                       | basic form of government (wdt:P122) | parliamentary republic (wd:Q4198907)      |
| France (wd:Q142)                     | basic form of government (wdt:P122) | semi-presidential system (wd:Q49890)      |
| India (wd:Q668)                      | basic form of government (wdt:P122) | parliamentary democracy (wd:Q3043547)     |
| People's Republic of China (wd:Q148) | basic form of government (wdt:P122) | communist dictatorship (wd:Q117405807)    |
| Spain (wd:Q29)                       | basic form of government (wdt:P122) | parliamentary monarchy (wd:Q3330103)      |
| Australia (wd:Q408)                  | basic form of government (wdt:P122) | representative democracy (wd:Q188759)     |
| ...                                  | ...                                 | ...                                       |

[Assistant] I'll run a SPARQL query that retrieves the value of property P122 (basic form of government) for Australia (wd:Q408), returning the government's item IRI and its English label (as an optional). I'll execute the query now.

[Tool]
Got 3 rows and 2 columns:
| governmentType                        | governmentTypeLabel           |
| ------------------------------------- | ----------------------------- |
| representative democracy (wd:Q188759) | representative democracy (en) |
| constitutional monarchy (wd:Q41614)   | constitutional monarchy (en)  |
| federation (wd:Q43702)                | federation (en)               |

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?team ?teamLabel WHERE {
  wd:Q7539 wdt:P22 ?father .
  ?father wdt:P54 ?team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel .
    FILTER ( lang( ?teamLabel ) = "en" )
  }
}

Using entities:
Peyton Manning (wd:Q7539), also known as Peyton Williams Manning, The Sheriff

Using properties:
father (wd:P22 as wdt), also known as child of, dad, daddy, daughter of, has father, etc.
member of sports team (wd:P54 as wdt), also known as club played for, member of team, of team, part of team, played for, etc.

Got 4 rows and 2 columns:
| team                                   | teamLabel                     |
| -------------------------------------- | ----------------------------- |
| New Orleans Saints (wd:Q172435)        | New Orleans Saints (en)       |
| Minnesota Vikings (wd:Q221150)         | Minnesota Vikings (en)        |
| Tennessee Titans (wd:Q320484)          | Tennessee Titans (en)         |
| Ole Miss Rebels football (wd:Q7085897) | Ole Miss Rebels football (en) |

Answer: Peyton Manning's father, Archie Manning, played for the New Orleans Saints (wd:Q172435), Minnesota Vikings (wd:Q221150), Tennessee Titans (wd:Q320484), and the Ole Miss Rebels football team (wd:Q7085897).

what team did peyton manning's dad play for?

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] what team did peyton manning's dad play for?

[Assistant] I'll search Wikidata for Peyton Manning to find his father, then check which team his father played for. I'll first look up Peyton Manning's entity. I will explain each step and show intermediate queries.

[Tool]
Top 10 entity alternatives:
1. Peyton Manning (wd:Q7539), also known as Peyton Williams Manning, The Sheriff: has occupation American football player / American football player (born 1976) / has occupation football player / has occupation restaurateur / has occupation voice actor / has occupation actor / is instance of human
2. Peyton Manning statue (wd:Q130406528): is instance of sculpture / statue of Peyton Manning
3. Statue of Peyton Manning (wd:Q130641896): bronze sculpture in Indianapolis, Indiana, U.S / is instance of statue
4. Peyton Manning's Monologue (wd:Q110057291): is instance of Saturday Night Live sketch / sketch from Saturday Night Live
5. Peyton Manning/Carrie Underwood (wd:Q110036879), also known as Saturday Night Live S32E16, Saturday Night Live, season 32 episode 16: is instance of television series episode / episode of Saturday Night Live (S32 E16)
6. Peyton Peyton-Jones (wd:Q75285898): Peerage person ID=38720 / is instance of human
7. Chelsea Manning (wd:Q298423), also known as Bradley Edward Manning, Bradley Manning, Chelsea Elizabeth Manning, Chelsea E. Manning: American activist and whistleblower (born 1987) / has occupation intelligence analyst / American activist and whistleblower / has occupation military personnel / has occupation Military personnel / has occupation computer scientist / has occupation activist / is instance of human
8. Francis Peyton Rous (wd:Q298707, matched via Peyton Rous), also known as F. Peyton Rous, Peyton Rous: has occupation university teacher / American scientist (1879-1970) / has occupation pathologist / has occupation virologist / has occupation physician / has occupation chemist / has occupation Chemist / is instance of human
9. Peyton List (wd:Q234299): has occupation television actor / American actress (born 1998) / has occupation child actor / has occupation voice actor / has occupation film actor / has occupation Model / has occupation model / is instance of human
10. Roosevelt Island (wd:Q909777, matched via Manning Island), also known as Blackwell 's Island, Blackwells Island, Franklin D. Roosevelt Island, Hog Island, Manning Island, etc.: island on East River in New York City, United States / is instance of river island / is instance of island

[Assistant] Now I'll look up Peyton Manning's father using property 'father' (P22) on Peyton Manning's Wikidata item.

[Tool]
Got 1 row and 3 columns:
| subject                   | property         | object                      |
| ------------------------- | ---------------- | --------------------------- |
| Peyton Manning (wd:Q7539) | father (wdt:P22) | Archie Manning (wd:Q611891) |

[Assistant] I'll query Archie Manning's Wikidata entry for the property that indicates the teams he played for (likely wdt:P54 "member of sports team"). I'll request that property directly.

[Tool]
Got 4 rows and 3 columns:
| subject                     | property                        | object                                 |
| --------------------------- | ------------------------------- | -------------------------------------- |
| Archie Manning (wd:Q611891) | member of sports team (wdt:P54) | Minnesota Vikings (wd:Q221150)         |
| Archie Manning (wd:Q611891) | member of sports team (wdt:P54) | Tennessee Titans (wd:Q320484)          |
| Archie Manning (wd:Q611891) | member of sports team (wdt:P54) | New Orleans Saints (wd:Q172435)        |
| Archie Manning (wd:Q611891) | member of sports team (wdt:P54) | Ole Miss Rebels football (wd:Q7085897) |

[Assistant] I'll run a SPARQL query that: starting from Peyton Manning (wd:Q7539), follows the father property (wdt:P22) to get his father, then gets the teams his father was a member of (wdt:P54). The query will return the team IRIs and English labels (labels are optional). I'll execute that query now.

[Tool]
Got 4 rows and 2 columns:
| team                                   | teamLabel                     |
| -------------------------------------- | ----------------------------- |
| New Orleans Saints (wd:Q172435)        | New Orleans Saints (en)       |
| Minnesota Vikings (wd:Q221150)         | Minnesota Vikings (en)        |
| Tennessee Titans (wd:Q320484)          | Tennessee Titans (en)         |
| Ole Miss Rebels football (wd:Q7085897) | Ole Miss Rebels football (en) |

[Assistant] The query returned four teams. I'll finalize by providing the SPARQL query and the answer listing these teams. I'll use the answer function with the final query and English answer.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?author ?authorLabel WHERE {
  wd:Q83099 wdt:P676 ?author .
  OPTIONAL {
    ?author rdfs:label ?authorLabel FILTER ( LANG( ?authorLabel ) = "en" )
  }
}

Using entities:
Jana Gana Mana (wd:Q83099)

Using properties:
lyricist (wd:P676 as wdt), also known as author, lyrics by, songwriter, text author, text by, etc.

Answer: The lyrics of "Jana Gana Mana" were written by Rabindranath Tagore (wd:Q7241).

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] who wrote the jana gana mana?

[Assistant] I'll search Wikidata for the entity corresponding to the national anthem "Jana Gana Mana" to find its author. I'll first look up the item for "Jana Gana Mana". Then I'll inspect properties to find the lyricist/author. I'll start by searching for the entity.

[Tool]
Top 10 entity alternatives:
1. Jana Gana Mana (wd:Q83099): is instance of musical work/composition / is instance of national anthem / national anthem of India
2. Jana Gana Mana (wd:Q112072761): 2022 film directed by Dijo Jose Antony / is instance of film
3. Jana Gana Mana (wd:Q112274393): is instance of film / Telegu film
4. Jana Gana Mana (wd:Q6150500): is instance of film / 2012 film
5. Jana Gana Mana (wd:Q80196923): musical score approved for Indian national anthem / is instance of version, edition or translation / is instance of sheet music / is instance of partitur
6. Jana Gana Mana (wd:Q121757500): is instance of radio performance / 1942 radio performance
7. Jana Gana Mana Video (wd:Q6150505): is instance of music video / national anthem
8. Jana Gana Mana Adhinayaka Jaya He (wd:Q121763513): is instance of music track with vocals
9. Jana Gana Mana Adhinayaka Jaya He (wd:Q121756199): vocal track by Amala Dutt, Nandita Devi, Sudhin Dutt & Santi Ghosh; 1934 studio recording / is instance of music track with vocals
10. Manas Jana (wd:Q93070394): researcher (ORCID 0000-0003-3178-0647) / has occupation researcher / is instance of human

[Assistant] I'll list triples for the Jana Gana Mana item (wd:Q83099) to find properties that indicate its author, lyricist, or composer.

[Tool]
Got 429 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                            | object                                                                                |
| -------------------------- | ----------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------- |
| Jana Gana Mana (wd:Q83099) | instance of (wdt:P31)               | national anthem (wd:Q23691)                                                                                |
| Jana Gana Mana (wd:Q83099) | title (wdt:P1476)                   | জনগণমন-অধিনায়ক জয় হে (bn)                                                                                |
| Jana Gana Mana (wd:Q83099) | publication date (wdt:P577)         | 1911-12-11T00:00:00Z (xsd:dateTime)                                                                                |
| Jana Gana Mana (wd:Q83099) | language of work or name (wdt:P407) | Bangla (wd:Q9610)                                                                                |
| Jana Gana Mana (wd:Q83099) | Commons category (wdt:P373)         | Jana Gana Mana                                                                                |
| Jana Gana Mana (wd:Q83099) | Freebase ID (wdt:P646)              | /m/0fl44                                                                                |
| Jana Gana Mana (wd:Q83099) | country of origin (wdt:P495)        | British Raj (wd:Q129286)                                                                                |
| Jana Gana Mana (wd:Q83099) | applies to jurisdiction (wdt:P1001) | India (wd:Q668)                                                                                |
| Jana Gana Mana (wd:Q83099) | composer (wdt:P86)                  | Rabindranath Tagore (wd:Q7241)                                                                                |
| Jana Gana Mana (wd:Q83099) | pronunciation audio (wdt:P443)      | <http://commons.wikimedia.org/wiki/Special:FilePath/LL-Q9610%20%28ben%29-Titodutta-%E0%A6%9C%E0%A6%A8%20%E0%A6%97%E0%A6%A3%20%E0%A6%AE%E0%A6%A8.wav> |
| ...                        | ...                                 | ...                                                                                |

[Assistant] I'll search for properties of the Jana Gana Mana item related to "author", "lyricist", or "writer" to be sure which property records the person who wrote the lyrics.

[Tool]
Top 10 property alternatives:
1. lyricist (wd:P676 as p/wdt), also known as author, lyrics by, songwriter, text author, text by, etc.: author of song lyrics; also use P86 for music composer / is subproperty of author / author of song lyrics
2. composer (wd:P86 as p/wdt, matched via songwriter), also known as composed by, film score by, musical score by, music by, songwriter, etc.: person(s) who wrote the music [for lyricist, use "lyrics by" (P676)] / person(s) who wrote the music; also use P676 for lyricist / person(s) who wrote the music; also use P676 for lyricist / is subproperty of creator
3. audio (wd:P51 as p/wdt, matched via song), also known as audio file, audio recording, audio sample, recording, song, etc.: relevant sound. If available, use a more specific property. Samples: "spoken text audio" (P989), "pronunciation audio" (P443) / relevant sound / relevant sound
4. tonality (wd:P826 as p/wdt, matched via key of musical composition), also known as in key, key, key of musical composition, key used, musical key, etc.: key of a musical composition / key of a musical composition
5. sheet music (wd:P3030 as p/wdt, matched via musical score), also known as musical score, P3030: media file containing the musical score (sheet music) for this item / media file containing the musical score (sheet music) for this item
6. based on (wd:P144 as p/wdt, matched via remix of), also known as adaptation of, adapted from, based on work, based upon, continuation of, etc.: the work(s) or inputs used as the basis for subject item; for fictional analog use P1074 / is subproperty of references work, tradition or theory / the work(s) used as basis for subject / is subproperty of inspired by
7. language of work or name (wd:P407 as p/wdt, matched via language), also known as audio language, available in, broadcasting language, language, language of name, etc.: language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this work or name (for persons use P103 and P1412)
8. applies to jurisdiction (wd:P1001 as p/wdt, matched via of), also known as applicable area, applicable country, applicable geographic place, applicable jurisdiction, applicable location, etc.: the item (institution, law, public office, public ... jurisdiction: a country, state, municipality, ...) / the item (an institution, law, public office ...) or ... jurisdiction: a country, state, municipality, ...) / is subproperty of characteristic of / is subproperty of significant place / is subproperty of operating area
9. title (wd:P1476 as p/wdt, matched via name), also known as article title, full title, headline, known as, name, etc.: published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / is subproperty of name
10. instance of (wd:P31 as p/wdt, matched via unique individual of), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant] I'll check whether the item has a lyricist (wdt:P676) or author property indicating who wrote the lyrics, and also confirm composer (wdt:P86). I'll query the Jana Gana Mana item for these properties.

[Tool] Got no rows and 4 columns

[Assistant] I'll run a SPARQL query asking specifically for the lyricist (P676) and composer (P86) of the Jana Gana Mana item (Q83099), returning English labels if available.

[Tool]
Got 2 rows and 4 columns:
| lyricist                       | lyricistLabel            | composer                       | composerLabel            |
| ------------------------------ | ------------------------ | ------------------------------ | ------------------------ |
| Rabindranath Tagore (wd:Q7241) | Rabindranath Tagore (en) | Margaret Cousins (wd:Q4943813) | Margaret Cousins (en)    |
| Rabindranath Tagore (wd:Q7241) | Rabindranath Tagore (en) | Rabindranath Tagore (wd:Q7241) | Rabindranath Tagore (en) |

[Assistant] I'll run a SPARQL query to get the lyricist(s) (property P676) of the Jana Gana Mana item (wd:Q83099). This query will return the author entity IRI and, optionally, its English label.

[Tool]
Got 1 row and 2 columns:
| lyricist                       | lyricistLabel            |
| ------------------------------ | ------------------------ |
| Rabindranath Tagore (wd:Q7241) | Rabindranath Tagore (en) |

[Assistant]
I'll now execute the final SPARQL query that returns the author (lyricist) of Jana Gana Mana (the query returns the item IRI and its English label if available). The query is shown below; I will run it and then provide the answer.

Final SPARQL query:
SELECT ?author ?authorLabel WHERE {
  wd:Q83099 wdt:P676 ?author .
  OPTIONAL { ?author rdfs:label ?authorLabel FILTER(LANG(?authorLabel) = "en") }
}

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?team ?teamLabel WHERE {
  wd:Q25369 wdt:P647 ?team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
  }
}

Using entities:
Kobe Bryant (wd:Q25369), also known as Black Mamba, KB24, Kobe, Kobe B. Bryant, Kobe Bean Bryant

Using properties:
drafted by (wd:P647 as wdt), also known as P647

Answer: Kobe Bryant was drafted by the Charlotte Hornets (wd:Q163480).

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] who was kobe bryant drafted by?

[Assistant] Step 1: I'll find the Wikidata item for "Kobe Bryant" so I can use its identifier in the query. I'll search the knowledge graph for the entity "Kobe Bryant".

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

[Assistant] I'll search for properties related to "drafted" to find the appropriate Wikidata property used to record drafting information (which team drafted a player).

[Tool]
Top 10 property alternatives:
1. drafted by (wd:P647 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as P647: by which team the player was drafted / which team the player was drafted by
2. study or design for (wd:P6606 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via draft for), also known as design for, draft for, first version of, preparatory work for, study for, etc.: finished work of art for which the subject is a preliminary study, design, or conceptual drawing / finished work of art for which the subject is a preliminary study, design or conceptual drawing
3. draft (wd:P2262 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as draught, P2262: depth below the water line to the bottom of a vessel's hull; summer draft is implied unless stated otherwise.
4. location of creation (wd:P1071 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via written at), also known as assembly location, built at, built in, composed at, created at, etc.: place where the item was conceived or made; where applicable, location of final assembly / is subproperty of significant place
5. thesis submitted to (wd:P4101 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via submitted to), also known as dissertation submitted to, submitted to, P4101: institution to whom a thesis or dissertation is submitted / institution to whom a thesis or dissertation is submitted
6. has written for (wd:P6872 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via written for), also known as is writing for, writer for, writes for, written for, wrote for, etc.: publication an author has contributed to / publication an author has contributed to
7. writing system (wd:P282 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via written form), also known as script, writing script, written form, P282: alphabet, character set or other system of writing used by a language, word, or text, supported by a typeface / the writing system used by language
8. programmed in (wd:P277 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via written in), also known as language, programming language, written in, P277: the programming language(s) in which the software is developed
9. notable work (wd:P800 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via wrote), also known as artwork, author of, bibliography, books by, creator of, etc.: notable scientific, artistic or literary work, or other work of significance among subject's works / notable scientific, artistic or literary work, or other work of significance among subject's works
10. publication date (wd:P577 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via issued), also known as air date, airdate, be published during, be published in, broadcast date, etc.: date or point in time when a work was first published or released / date or point in time a work is first published or released / date or point in time a work is first published or released / is subproperty of point in time

[Assistant] I'll check the Kobe Bryant item (wd:Q25369) for the "drafted by" property (wdt:P647) to see which team is recorded. I'll list triples with that subject and property.

[Tool]
Got 1 row and 3 columns:
| subject                 | property              | object                         |
| ----------------------- | --------------------- | ------------------------------ |
| Kobe Bryant (wd:Q25369) | drafted by (wdt:P647) | Charlotte Hornets (wd:Q163480) |

[Assistant] I'll run a final SPARQL query that returns the team that drafted Kobe Bryant (both the team IRI and its English label). This verifies and returns the exact identifier as requested.

[Tool]
Got 1 row and 2 columns:
| team                           | teamLabel              |
| ------------------------------ | ---------------------- |
| Charlotte Hornets (wd:Q163480) | Charlotte Hornets (en) |

[Assistant] I will now provide the final answer and include the SPARQL query I executed.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?author ?authorLabel WHERE {
  wd:Q36766 wdt:P50 ?author .
  OPTIONAL {
    ?author rdfs:label ?authorLabel FILTER ( LANG( ?authorLabel ) = "en" )
  }
}

Using entities:
Gospel of John (wd:Q36766), also known as Bible. John, Gospel according to John, John (Bible), The Gospel according to John

Using properties:
author (wd:P50 as wdt), also known as co-author, creator, maker, playwright, poet, etc.

Answer: The Gospel according to John is attributed to John the Apostle (Wikidata: wd:Q44015).

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] who wrote the gospel according to john?

[Assistant] I'll first search Wikidata for the entity corresponding to "Gospel according to John" (the Gospel of John) to find its Q-id.

[Tool]
Top 10 entity alternatives:
1. Gospel of John (wd:Q36766), also known as Bible. John, Gospel according to John, John (Bible), The Gospel according to John: is instance of book of the Bible / book of the New Testament / is instance of gospel / is instance of Gospel
2. The Gospel of John (wd:Q1169141, matched via Gospel of John), also known as Gospel of John, The Life of Jesus, The Visual Bible: The Gospel of John: 2003 film by Philip Saville / is instance of film
3. The Gospel of John (wd:Q48674664, matched via Gospel of John), also known as Gospel of John: is instance of film / 2014 film
4. Great Gospel of John (wd:Q1549156): is instance of literary work / literary work
5. The Gospel of John (wd:Q116607833): is instance of scholarly chapter / academic book chapter
6. Gospel and Revelation of John (wd:Q69419702), also known as Evangelium und Offenbarung Johannis: three windows with stained glass in the St. John's church in Bern, Switzerland / is instance of stained-glass window / is instance of stained glass
7. Exploring the Gospel of John (wd:Q117222924): is instance of version, edition or translation / book
8. St Cuthbert Gospel (wd:Q2985561, matched via St Cuthbert Gospel of St John), also known as Cuthbert Gospel, St Cuthbert Gospel of St John, Stonyhurst Gospel: early 8th-century pocket gospel book / is instance of Gospel Book / is instance of manuscript
9. Tractates on the Gospel of John (wd:Q30902334): is instance of literary work
10. The Gospel of John with Joe Boyd (wd:Q27045048, matched via Gospel of John with Joe Boyd), also known as Gospel of John with Joe Boyd: 2016 film by Brad Wise / is instance of film

[Assistant] I'll check what properties are used on the Gospel of John item to indicate its author/creator. I'll list some properties of wd:Q36766.

[Tool]
Got 782 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                     | object                                                                                |
| -------------------------- | ---------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Gospel of John (wd:Q36766) | instance of (wdt:P31)        | Gospel (wd:Q34274)                                                                                |
| Gospel of John (wd:Q36766) | title (wdt:P1476)            | Εὐαγγέλιον κατὰ Ἰωάννην (grc)                                                                                |
| Gospel of John (wd:Q36766) | author (wdt:P50)             | John the Apostle (wd:Q44015)                                                                                |
| Gospel of John (wd:Q36766) | Commons category (wdt:P373)  | Gospel of John                                                                                |
| Gospel of John (wd:Q36766) | image (wdt:P18)              | <http://commons.wikimedia.org/wiki/Special:FilePath/Papyrus%2063%20-%20Staatliche%20Museen%20zu%20Berlin%20inv.%2011914%20-%20Gospel%20of%20John%203%2C14-18%204%2C9-10%20-%20verso.jpg> |
| Gospel of John (wd:Q36766) | part of (wdt:P361)           | Bible (wd:Q1845)                                                                                |
| Gospel of John (wd:Q36766) | Freebase ID (wdt:P646)       | /m/038vs                                                                                |
| Gospel of John (wd:Q36766) | copyright status (wdt:P6216) | public domain (wd:Q19652)                                                                                |
| Gospel of John (wd:Q36766) | VIAF cluster ID (p:P214)     | s:Q36766-d97a460e-41f7-7e25-a489-eed44162f125                                                                                |
| Gospel of John (wd:Q36766) | short name (wdt:P1813)       | J (pl)                                                                                |
| ...                        | ...                          | ...                                                                                |

[Assistant] Now I'll run a SPARQL query that asks for the author (wdt:P50) of the Wikidata item for the Gospel of John (wd:Q36766). I'll request the author IRI and an optional English label.

[Tool]
Got 1 row and 2 columns:
| author                       | authorLabel           |
| ---------------------------- | --------------------- |
| John the Apostle (wd:Q44015) | John the Apostle (en) |

[Assistant]
Step 1 — find the Wikidata item for "Gospel of John"
- Thought process before the call: I need the Wikidata Q-id for the Gospel according to John to look up its author. I'll search for "Gospel of John".
- Function call: search_entity was used with query "Gospel of John".
- Result (what the function returned): the top match is Gospel of John (wd:Q36766).
- My interpretation after the call: wd:Q36766 is the correct item for the Gospel of John.

Step 2 — inspect properties of the Gospel of John item to see which property records the author
- Thought process before the call: check which properties are present on wd:Q36766 and whether an author (P50) is present.
- Function call: list was used on subject wd:Q36766.
- Result (what the function returned): among many triples, there is a triple with property author (wdt:P50) and object John the Apostle (wd:Q44015).
- My interpretation after the call: the Gospel of John item already has an author property pointing to John the Apostle (wd:Q44015).

Step 3 — run a SPARQL query to return the author IRI (and optional English label)
- Thought process before the call: construct a SPARQL SELECT query that returns the author IRI for wd:Q36766 and an optional English label; ensure the query returns the actual IRI.
- SPARQL query I executed:
  SELECT ?author ?authorLabel WHERE {
    wd:Q36766 wdt:P50 ?author .
    OPTIONAL { ?author rdfs:label ?authorLabel FILTER(LANG(?authorLabel) = "en") }
  }
- Function call: execute was used with the above SPARQL.
- Result (what the function returned): one row with ?author = wd:Q44015 and ?authorLabel = "John the Apostle"@en.
- My interpretation after the call: Wikidata records John the Apostle (wd:Q44015) as the author of the Gospel of John (wd:Q36766).

Final SPARQL query (returns the author IRI and optional English label):
SELECT ?author ?authorLabel WHERE {
  wd:Q36766 wdt:P50 ?author .
  OPTIONAL { ?author rdfs:label ?authorLabel FILTER(LANG(?authorLabel) = "en") }
}

Final answer based on the query results: The Gospel according to John is attributed to John the Apostle (Wikidata: wd:Q44015). Now I will provide the final result formally.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  wd:Q148 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Using entities:
People's Republic of China (wd:Q148), also known as 🇨🇳, China, China PR, CHN, cn, etc.

Using properties:
official language (wd:P37 as wdt), also known as language official, language spoken, speaking, spoken in, P37

Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| Standard Chinese (wd:Q727694)   | Standard Chinese (en)   |
| Chinese (wd:Q7850)              | Chinese (en)            |
| languages of China (wd:Q835866) | languages of China (en) |

Answer: According to Wikidata, the People's Republic of China (wd:Q148) lists Standard Chinese (Mandarin) and Chinese as its official languages. The main language used in China is Standard Chinese (commonly known as Mandarin).

what is the main language used in china?

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] what is the main language used in china?

[Assistant] I'll search for the entity for China and for properties about languages (official language, language spoken). I'll verify identifiers before using them. Then I'll build a SPARQL query that finds the main/official language used in China.

[Tool]
Top 10 entity alternatives:
1. People's Republic of China (wd:Q148, matched via China), also known as 🇨🇳, China, China PR, CHN, cn, etc.: is instance of dictatorship of the proletariat / is instance of state with limited recognition / is instance of constitutional republic / is instance of people's republic / is instance of socialist state / is instance of Socialist state / is instance of communist state / is instance of sovereign state / is instance of Secular state / is instance of secular state / is instance of country / country in East Asia / country in East Asia / country in East Asia / country in East Asia
2. porcelain (wd:Q130693, matched via china), also known as china, fine china: is subclass of fine ceramic / is subclass of ceramic / ceramic material
3. China (wd:Q29520), also known as All under Heaven, Cathay, Celestial Kingdom, Central Kingdom, Chinese Empire, etc.: cultural region, ancient civilization, and nation in East ... political situation and rarely refer to the Republic of China / cultural region, ancient civilization, and nation in East ... into the People's Republic of China and the Republic of China / cultural region, ancient civilization, and nation in East Asia / is instance of ancient civilization / is instance of cultural region / is instance of divided region / is instance of state
4. 1125 China (wd:Q136211, matched via China), also known as (1125) China, China: is instance of asteroid / asteroid / asteroid / asteroid
5. China (wd:Q288864), also known as China, Texas, China, TX: city in Jefferson County, Texas, United States / is instance of town in the United States / is instance of city
6. China (wd:Q3447500), also known as China, Maine, China, ME: town in Kennebec County, Maine, United States / is instance of town in the United States
7. China (wd:Q932423): town in Ōshima district, Kagoshima prefecture, Japan / is instance of town of Japan
8. Tianxia (wd:Q955223, matched via China), also known as All under Heaven, China, Tiene-hia, Tien-hia, T'ien-hsia, etc.: Chinese cultural, philosophical, and political concept
9. China (wd:Q1364589): 1979 studio album by Vangelis / is instance of album
10. China (wd:Q942154): municipality in the Nuevo León, Mexico / is instance of municipality of Mexico

[Assistant] Next I'll search for properties about languages, especially "official language", "language spoken", or "most spoken language". I'll verify property identifiers before using them.

[Tool]
Top 10 property alternatives:
1. official language (wd:P37 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as language official, language spoken, speaking, spoken in, P37: language designated as official by this item / language designated as official by this item / language designated as official by this item / language designated as official by this item / is subproperty of language used
2. native label (wd:P1705 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via official language name), also known as autonym, label in official language, label in original language, name in official language, name in original language, etc.: label for the items in their official language (P37) or their original language (P364) / label for the items in their official language (P37) or their original language (P364) / label for the items in their official language (P37) or their original language (P364) / label for the items in their official language  or their original language / is subproperty of name
3. original language of film or TV show (wd:P364 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via original language), also known as created on language, language of the original work, media language, original language, P364: language in which a film or a performance work was originally ... and songs; use P407 ("language of work or name") instead. / language in which a film or a performance work was originally ... written works; use P407 ("language of work or name") instead. / language in which a film or a performance work was originally ... written works; use P407 ("language of work or name") instead. / is subproperty of language of work or name
4. language used (wd:P2936 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via working language), also known as languages used, medium of instruction, used language, uses language, working language, etc.: language widely used (spoken or written) in this place or at this event or organisation
5. native language (wd:P103 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via first language), also known as first language, L1 speaker of, language native, mother tongue, P103: language or languages a person has learned from early childhood / is subproperty of languages spoken, written or signed / language or languages a person has learned from birth / language or languages a person has learned from birth
6. language regulatory body (wd:P1018 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language authority), also known as language authority, regulatory body, P1018: regulatory body of a language
7. language of work or name (wd:P407 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via used language), also known as audio language, available in, broadcasting language, language, language of name, etc.: language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this work or name (for persons use P103 and P1412)
8. languages spoken, written or signed (wd:P1412 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via used language), also known as language, language of expression, language read, language signed, languages of expression, etc.: language(s) that a person or a people speaks, writes or signs, including the native language(s) / language(s) that a person speaks or writes, including the native language(s) / language(s) that a person speaks or writes, including the native language(s)
9. programmed in (wd:P277 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language), also known as language, programming language, written in, P277: the programming language(s) in which the software is developed
10. Ethnologue language status (wd:P3823 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language status), also known as EGIDS, language status, P3823: language status identifier by Ethnologue.com using EGIDS scale / language status identifier by Ethnologue.com using EGIDS scale

[Assistant] I'll query Wikidata for the "official language" (property P37) values for the People's Republic of China (wd:Q148) to see which languages are listed.

[Tool]
Got 3 rows and 3 columns:
| subject                              | property                    | object                          |
| ------------------------------------ | --------------------------- | ------------------------------- |
| People's Republic of China (wd:Q148) | official language (wdt:P37) | Standard Chinese (wd:Q727694)   |
| People's Republic of China (wd:Q148) | official language (wdt:P37) | Chinese (wd:Q7850)              |
| People's Republic of China (wd:Q148) | official language (wdt:P37) | languages of China (wd:Q835866) |

[Assistant] I'll check other language-related properties for China: "language used" (P2936) and "languages spoken, written or signed" (P1412) to ensure I capture the main language.

[Tool]
Got 279 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                  | object                              |
| ------------------------------------ | ------------------------- | ----------------------------------- |
| People's Republic of China (wd:Q148) | language used (wdt:P2936) | Wutun (wd:Q1012917)                 |
| People's Republic of China (wd:Q148) | language used (wdt:P2936) | Sani (wd:Q1055287)                  |
| People's Republic of China (wd:Q148) | language used (wdt:P2936) | Chinese Sign Language (wd:Q1094190) |
| People's Republic of China (wd:Q148) | language used (wdt:P2936) | Ache Yi (wd:Q10949828)              |
| People's Republic of China (wd:Q148) | language used (wdt:P2936) | A-Hmao (wd:Q1108934)                |
| People's Republic of China (wd:Q148) | language used (wdt:P2936) | Mulao (wd:Q11092831)                |
| People's Republic of China (wd:Q148) | language used (wdt:P2936) | Kim Mun (wd:Q1115317)               |
| People's Republic of China (wd:Q148) | language used (wdt:P2936) | Tseku (wd:Q11159532)                |
| People's Republic of China (wd:Q148) | language used (wdt:P2936) | Awu Yi (wd:Q11163308)               |
| People's Republic of China (wd:Q148) | language used (wdt:P2936) | Gejia (wd:Q11251864)                |
| ...                                  | ...                       | ...                                 |

[Assistant] I'll run a SPARQL query to get the "official language" (property P37) values for the People's Republic of China (wd:Q148). This should return the language items; I'll also request their English labels. Now I'll execute that query.

[Tool]
Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| Standard Chinese (wd:Q727694)   | Standard Chinese (en)   |
| Chinese (wd:Q7850)              | Chinese (en)            |
| languages of China (wd:Q835866) | languages of China (en) |

[Assistant] I'll check the labels/aliases for Standard Chinese (wd:Q727694) to see if "Mandarin" appears as an English label or alias. Then I'll run the final SPARQL that returns the official languages for China with their English labels.

[Tool]
Got 703 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                         | object                                                                                |
| ----------------------------- | -------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Standard Chinese (wd:Q727694) | instance of (wdt:P31)            | standard language (wd:Q399495)                                                                                |
| Standard Chinese (wd:Q727694) | country (wdt:P17)                | People's Republic of China (wd:Q148)                                                                                |
| Standard Chinese (wd:Q727694) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/SZ%20Tour%20%E6%B7%B1%E5%9C%B3%E5%9C%92%E5%8D%9A%E5%9C%92%20Shenzhen%20International%20Garden%20and%20Flower%20Expo%20Park%20opening%20hours%20Aug-2010.JPG> |
| Standard Chinese (wd:Q727694) | subclass of (wdt:P279)           | Beijing Mandarin (wd:Q2169652)                                                                                |
| Standard Chinese (wd:Q727694) | Freebase ID (wdt:P646)           | /m/0653m                                                                                |
| Standard Chinese (wd:Q727694) | has part(s) (wdt:P527)           | Singaporean Mandarin (wd:Q1048980)                                                                                |
| Standard Chinese (wd:Q727694) | native label (wdt:P1705)         | 华语 (zh-hans)                                                                                |
| Standard Chinese (wd:Q727694) | different from (wdt:P1889)       | Mandarin (wd:Q10948482)                                                                                |
| Standard Chinese (wd:Q727694) | writing system (wdt:P282)        | Chinese characters (wd:Q8201)                                                                                |
| Standard Chinese (wd:Q727694) | topic's main category (wdt:P910) | wd:Q7485045                                                                                |
| ...                           | ...                              | ...                                                                                |

[Assistant] I'll run a SPARQL query to get the official language(s) (property P37) of the People's Republic of China (wd:Q148), returning the language IRIs and their English labels (if available). This will confirm which language Wikidata treats as the main/official language.

[Tool]
Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| Standard Chinese (wd:Q727694)   | Standard Chinese (en)   |
| Chinese (wd:Q7850)              | Chinese (en)            |
| languages of China (wd:Q835866) | languages of China (en) |

[Assistant] The query returns Standard Chinese and Chinese. The user's question is "what is the main language used in china?" Commonly the answer is Mandarin (Standard Chinese). I should explain the reasoning and provide the SPARQL query used. I'll finalize by returning the query and the answer. As required, I'll execute the final SPARQL query (already executed) and use the results to answer. Now I'll call the answer function with the final query and answer text.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?stadium ?stadiumLabel WHERE {
  wd:Q221878 wdt:P115 ?stadium .
  OPTIONAL {
    ?stadium rdfs:label ?stadiumLabel .
    FILTER ( LANG( ?stadiumLabel ) = "en" )
  }
}

Using entities:
Seattle Seahawks (wd:Q221878)

Using properties:
home venue (wd:P115 as wdt), also known as arena, ballpark, ground, home field, home ground, etc.

Answer: The Seattle Seahawks play at Lumen Field (wd:Q612736).

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] where do the seattle seahawks play?

[Assistant] I'll search for the Seattle Seahawks entity in Wikidata, then find the property that specifies their home stadium or home venue, and finally retrieve the stadium item (its IRI and label). I'll start by searching for the team entity.

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

[Assistant] Next I'll search properties of the Seattle Seahawks item for terms like "home", "stadium", "ground", or "venue" to find the property that records their home stadium.

[Tool]
Top 10 property alternatives:
1. owned by (wd:P127 as p/wdt, matched via owner), also known as belonged to, belongs to, is owned by, owner, owners, etc.: owner of the subject / owner of the subject / owner of the subject
2. country (wd:P17 as p/wdt), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
3. official website (wd:P856 as p/wdt, matched via homepage), also known as home page, homepage, home page (official), homepage (official), official homepage, etc.: URL of the official page of an item (current or former). ... see the "Hijacked or dead websites" section of the Talk page / is subproperty of URL
4. home venue (wd:P115 as p/wdt, matched via home ground), also known as arena, ballpark, ground, home field, home ground, etc.: home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / is subproperty of location
5. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
6. part of (wd:P361 as p/wdt, matched via of), also known as assembly of, branch of, chain, collateral branch of, component of, etc.: object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670))
7. Commons category (wd:P373 as p/wdt, matched via category Commons), also known as category Commons, category on Commons, category on Wikimedia Commons, category Wikipedia Commons, commonscat, etc.: name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category")
8. inception (wd:P571 as p/wdt, matched via formation), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
9. league or competition (wd:P118 as p/wdt, matched via division), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
10. member of (wd:P463 as p/wdt), also known as band member of, in musical group, member of musical group, membership, of organization, etc.: organisation, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / organization, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / organization, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / organization, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / is subproperty of part of

No other items found

[Assistant] I'll run a SPARQL SELECT query to get the home venue (property P115) of the Seattle Seahawks (wd:Q221878), returning the stadium item IRI and its English label. Then I'll examine the results and report them. Now I'll execute the query.

[Tool]
Got 1 row and 2 columns:
| stadium                  | stadiumLabel     |
| ------------------------ | ---------------- |
| Lumen Field (wd:Q612736) | Lumen Field (en) |

[Assistant]
I'll now finalize by providing the final SPARQL query (the same one I executed) and the answer based on its result. Before I call the final function, a brief recap of the steps and results:

- I searched for the team "Seattle Seahawks" and found the Wikidata item wd:Q221878 (confirmed to be the American football team).
- I looked for properties of that item related to "home" and found P115 (home venue / home stadium).
- I executed a SPARQL query retrieving wd:Q221878 wdt:P115 ?stadium and its English rdfs:label; the query returned one result: wd:Q612736 with label "Lumen Field".

Now I'll call the final function to present the SPARQL query and the answer.

[Tool] Stopping