I am unable to determine the answer from the available data. The query returns the place of birth and a place of residence, but there is no way to filter the residence to his childhood. Based on external knowledge, George W. Bush spent part of his childhood in Midland, Texas, which is not returned by the query.

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

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

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

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

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

[User] where did george w bush live as a child?

[Assistant]
Okay, let's start by identifying the entities and properties involved in the question. The main entity is "George W. Bush". The question asks about where he "lived as a child", which implies the property "residence" or "place of birth" with a qualifier related to his childhood.

First, let's find the Wikidata ID for "George W. Bush".

[Tool]
Top 10 entity alternatives:
1. George W. Bush, also known as GWB, POTUS 43, George Bush, President Bush, Bush Jr. (wd:Q207): President of the United States from 2001 to 2009, motivational speaker, rugby union player, military officer, autobiographer, businessperson, statesperson, politician, financier, painter
2. George Washington Bush, also known as George W. Bush (wd:Q5545944): American pioneer, husbandry worker, employee, pioneer, trapper, farmer
3. George W. Bush (wd:Q104844437): 2020 television documentary film
4. George W. Bush (wd:Q111279895): episode of Dokument utifrån
5. George W. Bush (wd:Q47513370): painting by Robert A. Anderson
6. George W. Bush, also known as George Washington Bush (wd:Q94496272): operator of George W. Bush & Son, a shipping business in Delaware, United States (1824-1900), consignor, director, merchant
7. George H. W. Bush, also known as G H W Bush, George W. Bush Senior, GHWB, GHW Bush, G.H.W. Bush (wd:Q23505): President of the United States from 1989 to 1993, baseball player, aircraft pilot, autobiographer, naval officer, statesperson, entrepreneur, politician, diplomat
8. George W. Bush Presidential Center, also known as GWB Library, GWB Presidential Library, George W. Bush Presidential Library, George W. Bush Library, Bush Presidential Library (wd:Q1508430): Presidential library and museum for U.S. President George W. Bush, located in Dallas, Texas
9. George W. Bush Administration cabinet, also known as Bush Cabinet, George W. Bush Cabinet, Cabinet of George W. Bush, Cabinet George W. Bush, Cabinet Bush (wd:Q28464532): most senior appointed officers of the executive branch of the fe...ent of the United States under the George W. Bush Administration
10. USS George W. Bush (wd:Q131753450): planned Gerald R. Ford-class aircraft carrier

[Assistant] The most likely candidate is "George W. Bush (wd:Q207)". Now, let's find properties related to "residence" or "place of living" for this entity.

[Tool]
Top 10 property alternatives:
1. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location
2. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
3. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
4. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
9. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
10. Guardian topic ID, also known as Guardian, The Guardian topic, The Guardian topic ID (wd:P3106 as p/wdt): identifier for a topic at the Guardian newspaper website

No other items found

[Assistant] "residence (wd:P551)" and "place of birth (wd:P19)" seem relevant. Let's start with "residence (wd:P551)". We need to find a way to specify that we are interested in his childhood residence. There might be a qualifier for this. Let's try to find examples of how "residence" is used.

[Tool]
Got more than 131,072 rows and 3 columns, showing the first 10 rows below:
| subject                           | property             | object                               |
| --------------------------------- | -------------------- | ------------------------------------ |
| Abhishek Bhatia (wd:Q100152292)   | residence (wdt:P551) | United States (wd:Q30)               |
| Omar Khashram (wd:Q104147083)     | residence (wdt:P551) | Turkey (wd:Q43)                      |
| Splinter (wd:Q100264004)          | residence (wdt:P551) | Japan (wd:Q17)                       |
| Enrico Bottoni (wd:Q105202488)    | residence (wdt:P551) | Italy (wd:Q38)                       |
| Thomas Gentille (wd:Q100157076)   | residence (wdt:P551) | Germany (wd:Q183)                    |
| Amir Escandari (wd:Q100353921)    | residence (wdt:P551) | Finland (wd:Q33)                     |
| E. Naudy (wd:Q100604482)          | residence (wdt:P551) | France (wd:Q142)                     |
| Caterina Camastra (wd:Q100987766) | residence (wdt:P551) | Mexico (wd:Q96)                      |
| Mahatma Gandhi (wd:Q1001)         | residence (wdt:P551) | India (wd:Q668)                      |
| Cindy Wang Brandt (wd:Q104696196) | residence (wdt:P551) | People's Republic of China (wd:Q148) |
| ...                               | ...                  | ...                                  |

[Assistant] The list function doesn't show qualifiers. Let's try constructing a query that retrieves the residence and any qualifiers.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 249 for token . with content '.' (the input most likely does not follow the grammar)

[Assistant] I made a mistake in the query. The `pq:P...` should be a specific property. I need to find out what property is used as a qualifier for the residence. Let's try searching for properties of George W. Bush related to "childhood".

[Tool]
Top 10 property alternatives:
1. number of children, also known as children, children (number), how many children, issue, kids (wd:P1971 as p/wdt): number of children of the person, animal, or character
2. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
3. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as p/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
4. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
5. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
6. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as p/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
7. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
8. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation
9. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
10. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)

No other items found

[Assistant] None of these properties directly relate to childhood residence as a qualifier. Let's try a different approach. Let's get the place of birth and then the places of residence.

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

[Assistant] The service wikibase:label is not working. Let's try using rdfs:label instead.

[Tool]
Got 1 row and 4 columns:
| ?birthPlace           | ?birthPlaceLabel | ?residence         | ?residenceLabel |
| --------------------- | ---------------- | ------------------ | --------------- |
| New Haven (wd:Q49145) | New Haven        | Dallas (wd:Q16557) | Dallas          |

[Assistant] This gives us the place of birth (New Haven) and a place of residence (Dallas). However, it doesn't tell us where he lived as a child. We need to find a way to filter the residence to his childhood. I don't see a direct way to do this with the available properties. I will have to rely on external knowledge to answer this question. Based on external knowledge, George W. Bush spent part of his childhood in Midland, Texas. Since the query did not return Midland, Texas, I will answer with "I am unable to determine the answer from the available data."

[Tool] Stopped generation process


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

Got 3 rows and 2 columns:
| ?government                           | ?governmentLabel         |
| ------------------------------------- | ------------------------ |
| representative democracy (wd:Q188759) | representative democracy |
| constitutional monarchy (wd:Q41614)   | constitutional monarchy  |
| federation (wd:Q43702)                | federation               |

Australia has a representative democracy, a constitutional monarchy, and is a federation.

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

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

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

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

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

[User] what type of government does australia have?

[Assistant] Okay, let's start by identifying the entity "Australia" and the property related to "type of government".

[Tool]
Top 10 entity alternatives:
1. Australia, also known as AU, The Commonwealth of Australia, Stria, Straya, Stralia (wd:Q408): country in Oceania
2. Australian continent, also known as New Holland, Sahul, Nova Hollandia, Meganesia, Australinea (wd:Q3960): continent in the Earth's Southern Hemisphere
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers
6. Australia (wd:Q781244): board game
7. Australia (wd:Q16835533): Racehorse
8. Australia, also known as Australia (KA–5) (wd:Q4823541): yacht that raced in the Americas Cup
9. Australia (wd:Q4823543): 2000 album by Howie Day
10. Australia (wd:Q25907685): albedo feature on the planet Mercury

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): subject's government
2. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
3. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): political office that is fulfilled by the head of the government of this item
4. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): seat of government of a country, province, state or other type of administrative territorial entity
5. Classification of the Functions of Government, also known as COFOG ID, COFOG number (wd:P9798 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): UN classification to compare government agencies across countries
6. authority, also known as executive authority, governed by, governing authority, governing body, has authority (wd:P797 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): entity having executive power on given entity
7. voting system, also known as electoral system, voting system, type of election (wd:P8196 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): system used for this election or vote
8. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): political office that is fulfilled by the head of state of this item
9. country, also known as sovereign state, state, land, host country (wd:P17 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. political ideology, also known as editorial viewpoint, has political ideology, ideology, official ideology, official political ideology (wd:P1142 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): political ideology of an organization or person or of a work (such as a newspaper)

[Assistant] The entity "Australia" is `wd:Q408` and the property "basic form of government" is `wdt:P122`. Let's construct a SPARQL query to find the type of government of Australia.

[Tool]
Got 3 rows and 1 column:
| ?government                           |
| ------------------------------------- |
| representative democracy (wd:Q188759) |
| constitutional monarchy (wd:Q41614)   |
| federation (wd:Q43702)                |

[Assistant] The query returns three values: representative democracy, constitutional monarchy, and federation. Let's add labels to the results.

[Tool]
Got 3 rows and 2 columns:
| ?government                           | ?governmentLabel         |
| ------------------------------------- | ------------------------ |
| representative democracy (wd:Q188759) | representative democracy |
| constitutional monarchy (wd:Q41614)   | constitutional monarchy  |
| federation (wd:Q43702)                | federation               |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team ?teamLabel WHERE {
  wd:Q611891 wdt:P54 ?team .
  ?team rdfs:label ?teamLabel .
  FILTER ( LANG( ?teamLabel ) = "en" )
}

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

New Orleans Saints

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

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

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

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

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

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

[Assistant]
Okay, let's start by identifying the entities and properties involved in the question.

The question is about Peyton Manning's dad and the team he played for. So, we need to find Peyton Manning, his father, and the team his father played for.

First, let's find Peyton Manning's entity ID in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Peyton Manning, also known as The Sheriff, Peyton Williams Manning (wd:Q7539): American football player (born 1976), American football player, restaurateur, voice actor, actor
2. Peyton Manning statue (wd:Q130406528): statue of Peyton Manning
3. Statue of Peyton Manning (wd:Q130641896): bronze sculpture in Indianapolis, Indiana, U.S
4. Peyton Manning/Carrie Underwood, also known as Saturday Night Live S32E16, Saturday Night Live, season 32 episode 16 (wd:Q110036879): episode of Saturday Night Live (S32 E16)
5. Peyton Manning's Monologue (wd:Q110057291): sketch from Saturday Night Live
6. Peyton Manning Children’s Hospital at St.Vincent (wd:Q30293441): healthcare organization in Indianapolis, United States
7. Manning, also known as Manning, IA, Manning, Iowa (wd:Q2233616): city in Iowa, USA
8. Manning, also known as Manning, SC, Manning, South Carolina (wd:Q2025061): city in South Carolina, USA
9. Manning, also known as Manning, ND, Manning, North Dakota (wd:Q3286067): census-designated place in Dunn County, North Dakota, United States
10. Peyton, also known as Peyton, CO, Peyton, Colorado (wd:Q7179619): census-designated place in El Paso County, Colorado, United States

[Assistant] The first result, `Peyton Manning (wd:Q7539)`, seems to be the correct one. Now, let's find the property for "father".

[Tool]
Top 10 property alternatives:
1. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
4. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as p/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
5. family name, also known as clan name, last name, surname (wd:P734 as p/wdt): part of full name of person, name
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
7. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
8. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
9. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
10. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country

No other items found

[Assistant] The property `father (wd:P22)` seems correct. Now, let's find the team that Peyton Manning's father played for. We need to find Peyton Manning's father's entity ID first. Then, we can find the team he played for. Let's construct a SPARQL query to find Peyton Manning's father.

[Tool]
Got 1 row and 1 column:
| ?father                     |
| --------------------------- |
| Archie Manning (wd:Q611891) |

[Assistant] Okay, Peyton Manning's father is `Archie Manning (wd:Q611891)`. Now, we need to find the team Archie Manning played for. Let's search for the property "team played for" or similar.

[Tool]
Top 10 property alternatives:
1. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as p/wdt): sports teams or clubs that the subject represents or represented, member of
2. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as p/wdt): position or specialism of a player on a team
3. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation
4. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
5. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
6. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
9. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
10. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person

No other items found

[Assistant] `member of sports team (wd:P54)` seems like the correct property. Let's use it in a SPARQL query.

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

[Assistant] The previous query failed because of the `SERVICE wikibase:label` part. Let's try the query without it and use `rdfs:label` instead.

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

[Assistant] The query returns four teams: New Orleans Saints, Minnesota Vikings, Tennessee Titans, and Ole Miss Rebels football. The question asks for *a* team, so any of these would be a valid answer. Let's choose "New Orleans Saints".

[Tool] Stopped generation process


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

Got 1 row and 2 columns:
| ?author                        | ?authorLabel        |
| ------------------------------ | ------------------- |
| Rabindranath Tagore (wd:Q7241) | Rabindranath Tagore |

Rabindranath Tagore

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

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

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

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

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

[User] who wrote the jana gana mana?

[Assistant] Okay, let's start by identifying the entity "Jana Gana Mana". I will use the `search_entity` tool to find the corresponding Wikidata identifier.

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

[Assistant] The primary entity we are interested in is "Jana Gana Mana" (wd:Q83099), which is the national anthem of India. Now, I need to find the property that represents the author or composer of a musical piece. I'll use `search_property` to find a suitable property.

[Tool]
Top 10 property alternatives:
1. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): subject's official anthem
2. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): author of song lyrics, author
3. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): maker of this creative work or other object (where no more specific property exists)
4. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
5. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
6. object named as, also known as original wording, place name string, printed as, reference wording, [sic] (wd:P1932 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): use as qualifier to indicate how the object's value was given in the source, name
7. has lyrics, also known as has text, has verses, lyrics that this work has, text, text that this work has (wd:P6439 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): work whose text is used as the lyrics of this work, references work, tradition or theory
8. author given names, also known as given name, given names, first name, author first names, author first name (wd:P9687 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), given name
9. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): notable scientific, artistic or literary work, or other work of significance among subject's works
10. Hymnary author ID (wd:P6300 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): identifier for hymn authors in the Hymnary.org database

[Assistant] The property `lyricist` (wd:P676) seems appropriate for the author of the lyrics, and `composer` (wd:P86) for the composer of the music. Since "Jana Gana Mana" is a song, we can assume the question refers to the lyricist. Let's use `lyricist` (wd:P676).

[Tool] Got no rows and 3 columns

[Assistant] That didn't return anything. Let's try `composer` (wd:P86) instead.

[Tool] Got no rows and 3 columns

[Assistant] Neither `lyricist` nor `composer` worked directly. Let's try searching for properties of "Jana Gana Mana" related to "author".

[Tool]
Top 10 property alternatives:
1. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as p/wdt): author of song lyrics, author
2. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as p/wdt): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
3. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as p/wdt): date or point in time when a work was first published or released, point in time
4. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
5. tonality, also known as in key, key, key of musical composition, key used, musical key (wd:P826 as p/wdt): key of a musical composition
6. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
7. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as p/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as p/wdt): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant] Okay, both `lyricist` (wd:P676) and `composer` (wd:P86) appear in the search results. Let's try a query that uses both, and returns the author's name.

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

[Assistant] The previous query failed because the `SERVICE` keyword is not supported. Let's try the query again, but this time using `rdfs:label` to get the author's label.

[Tool]
Got 1 row and 2 columns:
| ?author                        | ?authorLabel        |
| ------------------------------ | ------------------- |
| Rabindranath Tagore (wd:Q7241) | Rabindranath Tagore |

[Assistant] The query worked! We found that Rabindranath Tagore (wd:Q7241) is the lyricist of Jana Gana Mana. Now, let's provide the final answer.

[Tool] Stopped generation process


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

Got 1 row and 1 column:
| ?teamLabel        |
| ----------------- |
| Charlotte Hornets |

Charlotte Hornets

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

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

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

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

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

[User] who was kobe bryant drafted by?

[Assistant]
Okay, let's start by identifying the entities and properties involved in the question. The question is about Kobe Bryant and the team that drafted him. So, we need to find the entity for Kobe Bryant and the property that represents the team that drafted a player.

First, let's find the entity for Kobe Bryant.

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

[Assistant] The entity for Kobe Bryant is `wd:Q25369`. Now, let's find the property that represents the team that drafted a player. I'll start by searching for properties related to "draft" and "basketball player".

[Tool]
Top 10 property alternatives:
1. drafted by (wd:P647 as p/wdt): which team the player was drafted by
2. The Draft Review ID, also known as Draft Review identifier, The Draft Review identifier, Draft Review ID (wd:P9514 as p/wdt): identifier for a basketball player in the database of The Draft Review
3. DraftExpress ID, also known as draftexpress.com ID (wd:P3533 as p/wdt): identifier for a basketball player at draftexpress.com
4. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as p/wdt): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
5. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
9. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
10. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception

No other items found

[Assistant] The property we are looking for is `wd:P647` (drafted by). Now we can construct the SPARQL query.

[Tool]
Got 1 row and 1 column:
| ?team                          |
| ------------------------------ |
| Charlotte Hornets (wd:Q163480) |

[Assistant] The query returns `wd:Q163480` which is Charlotte Hornets. However, Kobe Bryant never played for the Charlotte Hornets. He was traded to the Lakers right after the draft. So, the question is a bit ambiguous. I will assume the user wants to know the team that drafted him, not the team he first played for.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?author WHERE {
  wd:Q36766 wdt:P50 ?author .
}

John the Apostle

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

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

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

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

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

[User] who wrote the gospel according to john?

[Assistant] Okay, I need to find the author of the Gospel of John. I will start by searching for the entity "Gospel of John" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Gospel of John, also known as John (Bible), The Gospel according to John, Gospel according to John, Bible. John (wd:Q36766): book of the New Testament
2. The Gospel of John, also known as The Life of Jesus, The Visual Bible: The Gospel of John, Gospel of John (wd:Q1169141): 2003 film by Philip Saville
3. The Gospel of John, also known as Gospel of John (wd:Q48674664): 2014 film
4. Great Gospel of John (wd:Q1549156): literary work
5. The Gospel of John (wd:Q116607833): academic book chapter
6. Gospel and Revelation of John, also known as Evangelium und Offenbarung Johannis (wd:Q69419702): three windows with stained glass in the St. John's church in Bern, Switzerland
7. Exploring the Gospel of John (wd:Q117222924): book
8. St Cuthbert Gospel, also known as Cuthbert Gospel, St Cuthbert Gospel of St John, Stonyhurst Gospel (wd:Q2985561): early 8th-century pocket gospel book
9. Tractates on the Gospel of John (wd:Q30902334)
10. Gospel Book of the Archbishop John (wd:Q56611982): from the collection of Matenadaran. Archbishop John, the younges...man ordaining a deacon in this Gospel Book made for his own use.

[Assistant] The first result, "Gospel of John (wd:Q36766)", seems to be the correct one. Now I will search for the property "author" or "writer" for this entity.

[Tool]
Top 10 property alternatives:
1. author, also known as writer, written by, poet, playwright, maker (wd:P50 as p/wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
2. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
3. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as p/wdtn/wdt): identifier from an international authority file of names, subjects, and organizations
4. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
5. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
6. BAnQ authority ID, also known as B2Q author ID, B2Q authority ID, B2Q subject ID, B2Q work ID, BanQ ID (wd:P3280 as p/wdt): identifier for an authority record for authors, works, and subje...ngs in the Bibliothèque et Archives nationales du Québec (BAnQ).
7. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as p/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. has edition or translation, also known as version, translation(s), released as, modified as, has version (wd:P747 as p/wdt): item that is an edition or translation of this item
10. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as p/wdt): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)

No other items found

[Assistant] The first result, "author (wd:P50)", seems to be the correct property. Now I will use this property to find the author of the Gospel of John.

[Tool]
Got 1 row and 1 column:
| ?author                      |
| ---------------------------- |
| John the Apostle (wd:Q44015) |

[Assistant] The query returned "John the Apostle (wd:Q44015)". So the author of the Gospel of John is John the Apostle.

[Tool] Stopped generation process


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

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

The main language used in China is Standard Chinese, also known as Standard Mandarin.

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

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

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

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

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

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

[Tool]
Top 10 entity alternatives:
1. People's Republic of China, also known as Zhōngguó, The PRC, RPC, CHN, Red China (wd:Q148): country in East Asia
2. porcelain, also known as china, fine china (wd:Q130693): ceramic material
3. China, also known as All under Heaven, Zhonghua, Cathay, Zhongguo, Tianxia (wd:Q29520): cultural region, ancient civilization, and nation in East Asia, ...in political situation and rarely refer to the Republic of China
4. China, also known as Sinae, Zhonghua, Zhongguo, Tianxia, Middle Kingdom (wd:Q29520): cultural region, ancient civilization, and nation in East Asia, ...in political situation and rarely refer to the Republic of China
5. 1125 China, also known as (1125) China, China (wd:Q136211): asteroid
6. China, also known as China, TX, China, Texas (wd:Q288864): city in Jefferson County, Texas, United States
7. China, also known as China, Maine, China, ME (wd:Q3447500): town in Kennebec County, Maine, United States
8. China (wd:Q932423): town in Ōshima district, Kagoshima prefecture, Japan
9. Tianxia, also known as All under Heaven, Tien Hsia, T'ien Hsia, Tien-hsia, T'ien-hsia (wd:Q955223): Chinese cultural, philosophical, and political concept
10. China (wd:Q942154): municipality in the Nuevo León, Mexico

[Assistant] The most prominent entity is "People's Republic of China (wd:Q148)". I will now search for properties related to language for this entity.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
5. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as p/wdt): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.
10. Unicode character, also known as emoji, emote, pictograph, Unicode symbol (wd:P487 as p/wdt): Unicode character representing the item (only if this is not a c...acter or a compatiblity character: in that case, use only P4213)

No other items found

[Assistant] The property "official language (wd:P37)" seems appropriate. I will now construct a SPARQL query to find the official language of China.

[Tool]
Got 3 rows and 1 column:
| ?language                       |
| ------------------------------- |
| Standard Chinese (wd:Q727694)   |
| Chinese (wd:Q7850)              |
| languages of China (wd:Q835866) |

[Assistant] The query returns three results: Standard Chinese, Chinese, and languages of China. "Standard Chinese" seems to be the most specific and accurate answer. I will now add labels to the query to make the result more readable.

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

[Assistant] The query now returns the labels for the languages. The answer is Standard Chinese, also known as Standard Mandarin.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?stadium WHERE {
  wd:Q221878 wdt:P115 ?stadium .
}

Lumen Field

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

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

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

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

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

[User] where do the seattle seahawks play?

[Assistant] Okay, let's start by identifying the entity "Seattle Seahawks" in Wikidata.

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

[Assistant] The Seattle Seahawks are an American football team (wd:Q221878). Now, let's find the property that indicates where they play. I'll search for properties of the Seattle Seahawks related to "stadium" or "arena".

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
6. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
7. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as p/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
8. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
9. SportsLogos.net team ID, also known as SportsLogos.net ID (wd:P9122 as p/wdt): identifier for a sports organization on the website Sports Logos
10. mascot (wd:P822 as p/wdt): mascot of an organization, e.g. a sports team or university

No other items found

[Assistant] The property "home venue" (wdt:P115) seems like the correct one. Let's use it in a query.

[Tool]
Got 1 row and 1 column:
| ?stadium                 |
| ------------------------ |
| Lumen Field (wd:Q612736) |

[Assistant] The stadium is Lumen Field (wd:Q612736).

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?timezone WHERE {
  wd:Q16568 wdt:P421 ?timezone .
}

Jacksonville, FL is in the Eastern Daylight Time time zone.

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

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

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

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

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

[User] what is jacksonville fl timezone?

[Tool]
Top 10 entity alternatives:
1. Jacksonville, also known as Jacksonville, FL, Jacksonville, Florida (wd:Q16568): city in Duval County, Florida, United States
2. Jacksonville urban area, also known as Jacksonville, FL, Jacksonville, FL Urban Area (wd:Q125804929): urban area in Florida
3. Jacksonville Beach, also known as Jacksonville Beach, FL, Jacksonville Beach, Florida (wd:Q988928): city in Duval County, Florida, United States
4. flag of Jacksonville, also known as Jacksonville flag, Bold New City of the South, flag of Jacksonville, Florida (wd:Q5456759): municipal flag of Jacksonville, Florida, United States
5. Jacksonville Heights, also known as Jacksonville Heights, FL, Jacksonville Heights, Florida (wd:Q122594337): hamlet in Duval County, Florida, United States
6. West Jacksonville, also known as West Jacksonville, FL, West Jacksonville, Florida (wd:Q122543229): hamlet in Duval County, Florida, United States
7. Jacksonville metropolitan area, also known as Greater Jacksonville, Jacksonville, FL Metro Area, Jacksonville, FL Metropolitan Statistical Area, Jacksonville metropolitan area, Florida, Metro Jacksonville (wd:Q6118061): metropolitan area in Florida, United States
8. Ortega, also known as Ortega, Jacksonville, Florida (wd:Q7104308): neighborhood of Jacksonville, Florida, US
9. San Marco, also known as San Marco, Florida, South Jacksonville, Florida (wd:Q14686391): former city of South Jacksonville, Florida, United States; neighborhood of Jacksonville
10. Bayard, also known as Bayard, Jacksonville, Florida (wd:Q4874329): human settlement in Jacksonville, Florida, United States of America

[Assistant] The entity that I'm looking for is Jacksonville, FL (wd:Q16568). Now I need to find the timezone of Jacksonville, FL.

[Tool]
Top 10 property alternatives:
1. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
4. flag, also known as flag description (wd:P163 as p/wdt): subject's flag
5. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
6. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as p/wdt): identifier assigned by postal authorities for the subject area or building
8. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as p/wdt): identifier dedicated to subject city by the area communication network
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
10. FAST ID, also known as Faceted Application of Subject Terminology ID, FAST subject heading, fst, worldcat.org/fast (wd:P2163 as p/wdtn/wdt): authority control identifier in WorldCat's “FAST Linked Data” authority file

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                  | property                        | object                               |
| ------------------------ | ------------------------------- | ------------------------------------ |
| Jacksonville (wd:Q16568) | located in time zone (wdt:P421) | Eastern Daylight Time (wd:Q15080196) |

[Tool]
Got 1 row and 3 columns:
| subject                  | property                        | object                               |
| ------------------------ | ------------------------------- | ------------------------------------ |
| Jacksonville (wd:Q16568) | located in time zone (wdt:P421) | Eastern Daylight Time (wd:Q15080196) |

[Assistant] Jacksonville, FL is located in the time zone Eastern Daylight Time (wd:Q15080196).

[Tool] Stopped generation process