PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?location WHERE {
  wd:Q7159 wdt:P131 ?location
}

The seat of the African Union is Addis Ababa, Ethiopia.

[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 is the seat of the african union?

[Tool]
Top 10 entity alternatives:
1. African Union, also known as African union, AU, The African Union, UA, Union Africaine (wd:Q7159): supranational union in Africa
2. African Union (wd:Q59167361): 2014 scholarly article by Paul Jackson
3. flag of the African Union, also known as African Union flag, the African Union flag (wd:Q630077): flag
4. African Monetary Union (wd:Q388083): proposed economic and monetary union
5. African Union Passport, also known as AU Passport, Passport (African Union) (wd:Q25927278): common passport document for citizens of African Union member states
6. African Union Commission (wd:Q2362881): Executive branch of the African Union
7. African Judo Union, also known as AJU (wd:Q3606247): Judo union
8. Kenya African Union (wd:Q6392541): political organization
9. African Parliamentary Union (wd:Q25098864): interparliamentary organization
10. African Boxing Union (wd:Q11284666)

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country WHERE {
  wd:Q3542 wdt:P17 ?country .
}

The Niger River flows through the following Sahel countries: Nigeria, Niger, Mali, and Burkina Faso.

[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] through which countries of the sahel does the niger river flow?

[Tool]
Top 10 entity alternatives:
1. Niger River, also known as fleuve Niger, Niger, Quorra, River Niger (wd:Q3542): river in West Africa
2. Niger River, also known as Rivière Nigger (wd:Q21007791): river in Quebec (Canada)
3. The River Niger, also known as River Niger (wd:Q3989042): 1976 film by Krishna Shah
4. River Niger Bridge, also known as River Niger Bridge in Onitsha, Onitsha Bridge (wd:Q7337655): bridge in Nigeria over the Niger River
5. The River Niger (wd:Q7761001): play written by Joseph A. Walker
6. LNG River Niger, also known as IMO 9262235 (wd:Q117065668): LNG carrier built in 2006
7. Niger Delta, also known as delta of the Niger River (wd:Q29412): delta of the Niger River in Nigeria and the surrounding region
8. Nigerian Railways River class (wd:Q7033008): class of West African 2-8-2 locomotives
9. River Studies in Nigeria (wd:Q58952703): scientific article published in Nature
10. river front, Calabar, Nigeria (wd:Q110819391)

[Tool]
Got 735 rows and 3 columns, showing the first 10 rows below:
| subject                | property                                       | object                                                                                |
| ---------------------- | ---------------------------------------------- | --------------------------------------------------------------------------------------------------------- |
| Niger River (wd:Q3542) | instance of (wdt:P31)                          | river (wd:Q4022)                                                                                |
| Niger River (wd:Q3542) | country (wdt:P17)                              | Nigeria (wd:Q1033)                                                                                |
| Niger River (wd:Q3542) | coordinate location (wdt:P625)                 | POINT(6.469167 5.322222) (geo:wktLiteral)                                                                 |
| Niger River (wd:Q3542) | Commons category (wdt:P373)                    | Niger River                                                                                |
| Niger River (wd:Q3542) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Niger%20River%20View%2C%20Djenne%20%286861797%29.jpg> |
| Niger River (wd:Q3542) | described by source (wdt:P1343)                | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358)                                                  |
| Niger River (wd:Q3542) | elevation above sea level (wdt:P2044)          | 200 (xsd:decimal)                                                                                |
| Niger River (wd:Q3542) | on focus list of Wikimedia project (wdt:P5008) | wd:Q5460604                                                                                |
| Niger River (wd:Q3542) | native label (wdt:P1705)                       | Ọya (yo)                                                                                |
| Niger River (wd:Q3542) | topic's main category (wdt:P910)               | wd:Q6368800                                                                                |
| ...                    | ...                                            | ...                                                                                |

[Tool]
Top 10 property alternatives:
1. mouth of the watercourse, also known as flows into, watercourse outflow, watercourse ends in, watercourse drain, tributary of (wd:P403 as wdt/p): the body of water to which the watercourse drains
2. tributary, also known as has inflow of, affluent, receives tributary, receives river, has river inflow (wd:P974 as wdt/p): watercourse that flows into an other one (for lake inflows use P200)
3. origin of the watercourse, also known as headwaters, water source, water origin, water body origin, stream source (wd:P885 as wdt/p): main source of a river, stream or lake
4. discharge (wd:P2225 as wdt/p): volume rate of water flow which is transported through a given cross-sectional area
5. drainage basin, also known as watershed, water basin, river basin district, river basin, catchment area (wd:P4614 as wdt/p): area where precipitation collects and drains off into a common outlet, such as into a river, bay, or other body of water, located in/on physical feature
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
9. length, also known as size, long, LOA, distance, dimension (wd:P2043 as wdt/p): measured dimension of an object
10. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

No other items found

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?role WHERE {
  wd:Q207598 wdt:P10606 ?role
}

Shannen Doherty has played in Prue Halliwell (wd:Q1750877) and Brenda Walsh (wd:Q2567691).

[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 has shannen doherty played in?

[Tool]
Top 10 entity alternatives:
1. Shannen Doherty, also known as Shannen Maria Doherty (wd:Q207598): American actress (1971–2024), television producer, television actor, autobiographer, stage actor, film actor, director
2. Shannen Doherty/Cypress Hill, also known as Saturday Night Live, season 19 episode 2 (wd:Q110713281): episode of Saturday Night Live (S19 E2)
3. Breaking Up with Shannen Doherty (wd:Q1254572): American reality television series
4. William Doherty, also known as Doherty (wd:Q3568555): American entomologist (1857–1901), lepidopterist, zoologist
5. Doherty (wd:Q21502096): family name
6. Dougherty, also known as Doherty (wd:Q19597014): Apple cultivar
7. Doherty (wd:Q48804147): place in Ontario, Canada
8. Doherty (wd:Q105797558): male given name
9. Doherty (wd:Q115263223): geographic township in Ontario, Canada
10. Doherty (wd:Q29167373): lieu-dit in Bristol, Quebec, Canada

[Tool]
Got 629 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                         | object                                                                                |
| ---------------------------- | -------------------------------- | ------------------------------------------------------------------------------------------ |
| Shannen Doherty (wd:Q207598) | instance of (wdt:P31)            | human (wd:Q5)                                                                              |
| Shannen Doherty (wd:Q207598) | occupation (wdt:P106)            | director (wd:Q3455803)                                                                     |
| Shannen Doherty (wd:Q207598) | sex or gender (wdt:P21)          | female (wd:Q6581072)                                                                       |
| Shannen Doherty (wd:Q207598) | given name (wdt:P735)            | Shannen (wd:Q56449931)                                                                     |
| Shannen Doherty (wd:Q207598) | date of birth (wdt:P569)         | 1971-04-12T00:00:00Z (xsd:dateTime)                                                        |
| Shannen Doherty (wd:Q207598) | Commons category (wdt:P373)      | Shannen Doherty                                                                            |
| Shannen Doherty (wd:Q207598) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Shannen%20Doherty%20%28cropped%29.jpg> |
| Shannen Doherty (wd:Q207598) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                                     |
| Shannen Doherty (wd:Q207598) | family name (wdt:P734)           | Doherty (wd:Q21502096)                                                                     |
| Shannen Doherty (wd:Q207598) | place of birth (wdt:P19)         | Memphis (wd:Q16563)                                                                        |
| ...                          | ...                              | ...                                                                                |

[Tool]
Top 10 property alternatives:
1. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as wdt/p): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
2. filmography, also known as list of films with the person, list of films the person contributed to, list of films about the person (wd:P1283 as wdt/p): item for the list of films a person has contributed to. Don't us...mber" (P161) on items for films, directors with "director" (P57), list of works
3. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as wdt/p): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
4. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
5. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as wdt/p): alias used by someone (for nickname use P1449), name
6. Ivi person ID, also known as Ivi actor ID, Ivi.ru actor ID (wd:P11683 as wdt/p): ID of an actor on Ivi.ru
7. Douban movie celebrity ID, also known as https://movie.douban.com/celebrity, https://movie.douban.com, https://m.douban.com, Douban person ID, douban.com person ID (wd:P5284 as wdt/p): identifier for a celebrity at the Douban movie website
8. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt/p): notable scientific, artistic or literary work, or other work of significance among subject's works
9. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as wdt/p): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location

No other items found

[Tool]
Got 2 rows and 1 column:
| role                         |
| ---------------------------- |
| Prue Halliwell (wd:Q1750877) |
| Brenda Walsh (wd:Q2567691)   |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?government WHERE {
  wd:Q796 wdt:P271 ?government
}

Iraq currently has a semi-presidential republic government structure.

[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 iraq have now?

[Tool]
Top 10 entity alternatives:
1. Iraq, also known as iq, IRQ, Republic of Iraq (wd:Q796): sovereign state in Western Asia
2. Iraqi Air Force, also known as Air Forces, IQAF, Iraq (wd:Q2443729): aerial warfare branch of Iraq's armed forces
3. 'Iraq (wd:Q20299548): village in Mustaba District, Yemen
4. 'Iraq (1977), also known as Iraq (wd:Q27716130): journal; A Kurdish newspaper
5. Iraq. (wd:Q46390136): scientific article
6. Iraq (wd:Q15761734): cultural studies journal
7. [Iraq] (wd:Q78280319): scientific article published on 01 May 1996
8. Iraq (wd:L662583-S1)
9. Iraq (wd:L590656-S1)
10. Iraq (wd:L254241-F1)

[Tool] Got no rows and 1 columns

[Tool]
Got 2 rows and 1 column:
| government                                                                                |
| ------------------------------------------------------------------------------------------------- |
| <http://commons.wikimedia.org/wiki/Special:FilePath/Lb-Irak.ogg>                                  |
| <http://commons.wikimedia.org/wiki/Special:FilePath/LL-Q7913%20%28ron%29-KlaudiuMihaila-Irak.wav> |

[Tool] Got no rows and 1 columns

[Tool]
Got 2,239 rows and 3 columns, showing the first 10 rows below:
| subject        | property                        | object                                                                                |
| -------------- | ------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
| Iraq (wd:Q796) | instance of (wdt:P31)           | country (wd:Q6256)                                                                                |
| Iraq (wd:Q796) | country (wdt:P17)               | Iraq (wd:Q796)                                                                                |
| Iraq (wd:Q796) | coordinate location (wdt:P625)  | POINT(43.000000 33.000000) (geo:wktLiteral)                                                                                |
| Iraq (wd:Q796) | Commons category (wdt:P373)     | Iraq                                                                                |
| Iraq (wd:Q796) | image (wdt:P18)                 | <http://commons.wikimedia.org/wiki/Special:FilePath/View%20of%20Sulaymaniyah%20%28Slemani%29%20City%20in%20Winter%20-%20Snow%202015.JPG> |
| Iraq (wd:Q796) | part of (wdt:P361)              | Middle East (wd:Q7204)                                                                                |
| Iraq (wd:Q796) | population (wdt:P1082)          | 38274618 (xsd:decimal)                                                                                |
| Iraq (wd:Q796) | inception (wdt:P571)            | 1932-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Iraq (wd:Q796) | short name (wdt:P1813)          | 🇮🇶 (zxx)                                                                                |
| Iraq (wd:Q796) | described by source (wdt:P1343) | Encyclopædia Britannica 11th edition (wd:Q867541)                                                                                |
| ...            | ...                             | ...                                                                                |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?birthPlace WHERE {
  wd:Q218718 wdt:P19 ?birthPlace
}

Jay Leno is from New Rochelle (wd:Q744948).

[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 is jay leno from?

[Tool]
Top 10 entity alternatives:
1. Jay Leno, also known as James Leno, Jay Douglas Muir Leno, James Douglas Muir Leno (wd:Q218718): American television host and comedian (born 1950), television presenter, television producer, stand-up comedian, television actor, screenwriter, voice actor, journalist, YouTuber, comedian, writer, dancer, singer, actor
2. Jay Leno Monologue (wd:Q110056887): sketch from Saturday Night Live
3. Jay Leno's Garage (wd:Q20657049): television series
4. The Jay Leno Show (wd:Q3040985): short-lived American late-night talk show
5. Jay Leno: LA Riots (wd:Q110055579): sketch from Saturday Night Live
6. JRE #692 - Jay Leno, also known as #692 - Jay Leno, The Joe Rogan Experience #692 - Jay Leno (wd:Q109305884): episode of the Joe Rogan Experience
7. Jay Leno/The Neville Brothers, also known as Saturday Night Live S11E11, Saturday Night Live, season 11 episode 11 (wd:Q110035206): episode of Saturday Night Live (S11 E11)
8. The Tonight Show with Jay Leno (wd:Q3107406): American talk show hosted by Jay Leno (1992–2009 and 2010–2014)
9. J, also known as ᴊ, Juliett, Juliet, j, jay (wd:Q9773): 10th-17th letter of Latin alphabets
10. Eurasian Jay, also known as Garrulus glandarius, Jay, European Jay (wd:Q25354): species of bird

[Tool]
Got 1 row and 1 column:
| birthPlace                |
| ------------------------- |
| New Rochelle (wd:Q744948) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?type WHERE {
  wd:Q5593 wdt:P136 ?work .
  ?work wdt:P31 ?type .
}

Got 23 rows and 1 column, showing the first 5 and last 5 rows below:
| type                              |
| --------------------------------- |
| method (wd:Q1799072)              |
| type of arts (wd:Q56055944)       |
| style (wd:Q1292119)               |
| art genre (wd:Q1792379)           |
| art style (wd:Q1792644)           |
| ...                               |
| genre of painting (wd:Q16743958)  |
| art genre (wd:Q1792379)           |
| ethnological term (wd:Q129133491) |
| art genre (wd:Q1792379)           |
| genre of painting (wd:Q16743958)  |

Pablo Picasso painted various types of art, including abstract art, graphics, ceramic art, mythological painting, and nude subjects. His work spans multiple genres, with abstract art being a significant part of his legacy.

[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 art did pablo picasso paint?

[Tool]
Top 10 entity alternatives:
1. Pablo Picasso, also known as Pablo Ruiz Y Picasso, Pablo Ruys, Pablo Ruiz Picasso, Pablo Ruiz y Picasso, Picasso (wd:Q5593): Spanish painter and sculptor (1881–1973), architectural draftsperson, assemblage artist, graphic designer, jewelry designer, costume designer, graphic artist, poster artist, choreographer, visual artist, scenographer, screenwriter, photographer, draftsperson, illustrator, ceramicist, printmaker, collagist, designer, muralist, sculptor, painter, artist
2. Pablo Picasso (wd:Q7121722): song of the proto punk group The Modern Lovers
3. Picasso, Pablo (wd:Q3828311): 1982 film by Frédéric Rossif
4. Pablo Picasso (wd:Q107290491)
5. Pablo Picasso (wd:Q52820876): primary school in Rome, Rome, Lazio, Italy
6. Pablo Picasso (wd:Q52822789): kindergarten in Rome, Rome, Lazio, Italy
7. Pablo Picasso (wd:Q64157679): photograph in the National Gallery of Art (NGA 92324)
8. Pablo Picasso (wd:Q76456802): print in the National Gallery of Art (NGA 147624)
9. Pablo Picasso (wd:Q76628891): photograph by Man Ray
10. Pablo Picasso (wd:Q92627252): photograph by Man Ray 224564

[Tool]
Got 23 rows and 2 columns, showing the first 5 and last 5 rows below:
| work                                | type                              |
| ----------------------------------- | --------------------------------- |
| graphics (wd:Q1027879)              | method (wd:Q1799072)              |
| graphics (wd:Q1027879)              | type of arts (wd:Q56055944)       |
| abstract art (wd:Q128115)           | style (wd:Q1292119)               |
| abstract art (wd:Q128115)           | art genre (wd:Q1792379)           |
| abstract art (wd:Q128115)           | art style (wd:Q1792644)           |
| ...                                 | ...                               |
| mythological painting (wd:Q3374376) | genre of painting (wd:Q16743958)  |
| nude (wd:Q40446)                    | art genre (wd:Q1792379)           |
| ceramic (wd:Q45621)                 | ethnological term (wd:Q129133491) |
| vanitas (wd:Q733095)                | art genre (wd:Q1792379)           |
| history painting (wd:Q742333)       | genre of painting (wd:Q16743958)  |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?university WHERE {
  wd:Q76 wdt:P69 ?university
}

Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| university                                       |
| ------------------------------------------------ |
| University of Chicago Law School (wd:Q1036763)   |
| wd:Q13371                                        |
| Occidental College (wd:Q1346110)                 |
| Nelson High School (wd:Q14875335)                |
| Noelani Elementary School (wd:Q15262435)         |
| ...                                              |
| State Elementary School Menteng 01 (wd:Q4122998) |
| wd:Q49088                                        |
| Harvard Law School (wd:Q49122)                   |
| Centaurus High School (wd:Q5059051)              |
| King College Prep High School (wd:Q6411346)      |

Harvard Law School

[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 university did obama graduated from?

[Tool]
Top 10 entity alternatives:
1. Barack Obama, also known as Honorable Barack Obama, BHO, Obama, Barry O Bomber, President Obama (wd:Q76): president of the United States from 2009 to 2017, community organizer, political writer, statesperson, politician, podcaster, memoirist, academic, lawyer, jurist
2. Barack Obama (wd:Q128580045): horse
3. Barack Obama (wd:Q47513588): painting by Michael A. Glier
4. Barack Obama Sr., also known as Barack Hussein Obama (wd:Q649593): Economist, father of Barack Obama jr. (1934–1982), economist
5. presidency of Barack Obama, also known as Obama presidency, Presidency of Barack Obama, Barack Obama presidency (wd:Q1379733): 44th presidential administration and cabinet of the USA (2009-2017)
6. Barack Obama Administration cabinet, also known as Obama's Cabinet, Obama Cabinet, Obama Administration cabinet, Obama administration, Cabinet of Barack Obama (wd:Q4206667): the government of the United States under President Barack Obama
7. Barack Obama Plaza (wd:Q55604878): Motorway service area in Moneygall, Ireland
8. President Barack Obama, also known as portrait of Barack Obama (wd:Q50303833): painting by Kehinde Wiley
9. WikiProject Barack Obama (wd:Q21829530): Wikimedia subject-area collaboration
10. speeches of Barack Obama, also known as Barack Obama speeches, Barack Obama's speeches (wd:Q7575410): overview about the speeches of Barack Obama

[Tool] Got no rows and 1 columns

[Tool]
Got 9 rows and 1 column:
| university                         |
| ---------------------------------- |
| memoirist (wd:Q11774156)           |
| podcaster (wd:Q15077007)           |
| political writer (wd:Q15958642)    |
| jurist (wd:Q185351)                |
| community organizer (wd:Q28532974) |
| academic (wd:Q3400985)             |
| statesperson (wd:Q372436)          |
| lawyer (wd:Q40348)                 |
| politician (wd:Q82955)             |

[Tool]
Top 10 property alternatives:
1. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt/p): educational institution attended by subject, affiliation
2. Commons gallery, also known as gallery (wd:P935 as wdt/p): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
3. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as wdt/p): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
4. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as wdt/p): significant or notable events associated with the subject
5. academic degree, also known as academic diploma, degree, diploma (wd:P512 as wdt/p): academic degree that the person holds
6. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
7. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as p): name of the Reddit forum associated to this subject
8. video, also known as gif, animation, trailer, media (wd:P10 as wdt/p): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): 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
10. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)

No other items found

[Tool]
Top 10 property alternatives:
1. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as prv/p/pqn/psv/wdt/wdtn/pqv/prn/ps/psn/pq/pr): educational institution attended by subject, affiliation
2. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as prv/p/pqn/psv/wdt/wdtn/pqv/prn/ps/psn/pq/pr): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
3. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as prv/p/pqn/psv/wdt/wdtn/pqv/prn/ps/psn/pq/pr): person or organization who grants an award, certification, grant, or role
4. academic degree, also known as academic diploma, degree, diploma (wd:P512 as prv/p/pqn/psv/wdt/wdtn/pqv/prn/ps/psn/pq/pr): academic degree that the person holds
5. interested in, also known as area of interest, area of research, field of interest, field of research, field of study (wd:P2650 as prv/p/pqn/psv/wdt/wdtn/pqv/prn/ps/psn/pq/pr): item of special or vested interest to this person or organisation
6. academic major, also known as academic subject, college major, field of study, major, studied (wd:P812 as prv/p/pqn/psv/wdt/wdtn/pqv/prn/ps/psn/pq/pr): major someone studied at college/university
7. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as prv/p/pqn/psv/wdt/wdtn/pqv/prn/ps/psn/pq/pr): specialization of a person or organization; see P106 for the occupation, interested in
8. school of (wd:P1780 as prv/p/pqn/psv/wdt/wdtn/pqv/prn/ps/psn/pq/pr): for a creative work with author with a style influenced by the k... or circle, active in the same period, but a student or follower
9. studied in, also known as is studied by, studied by, science, that studies, researched in, researched by (wd:P2579 as prv/p/pqn/psv/wdt/wdtn/pqv/prn/ps/psn/pq/pr): subject is studied by this science or domain, field of work
10. student of, also known as professor, studied under, pupil of, tutor, mentor (wd:P1066 as prv/p/pqn/psv/wdt/wdtn/pqv/prn/ps/psn/pq/pr): person who has taught this person, significant person

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?art WHERE {
  wd:Q762 wdt:P106 ?art
}

Got 24 rows and 1 column, showing the first 5 and last 5 rows below:
| art                           |
| ----------------------------- |
| painter (wd:Q1028181)         |
| anatomist (wd:Q10872101)      |
| astronomer (wd:Q11063)        |
| sculptor (wd:Q1281618)        |
| civil engineer (wd:Q13582652) |
| ...                           |
| philosopher (wd:Q4964182)     |
| designer (wd:Q5322166)        |
| chemist (wd:Q593644)          |
| engineer (wd:Q81096)          |
| scientist (wd:Q901)           |

Leonardo da Vinci is known for creating various types of art, including painting, sculpture, and architecture. His major artistic contributions include works like the Mona Lisa (painting), The Last Supper (painting), and designs for architectural projects.

[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 art did leonardo da vinci make?

[Tool]
Top 10 entity alternatives:
1. Leonardo da Vinci (wd:Q762): Italian Renaissance polymath (1452−1519), architectural draftsperson, civil engineer, visual artist, mathematician, caricaturist, physiologist, philosopher, astronomer, architect, scientist, zoologist, anatomist, physicist, polymath, botanist, engineer, designer, composer, sculptor, inventor, diplomat, chemist, painter, writer
2. Leonardo da Vinci (wd:Q2530641): 1911 Conte di Cavour-class battleship
3. Leonardo da Vinci (wd:Q650366): 1939 Marconi-class submarine
4. Leonardo da Vinci: The Mind of the Renaissance, also known as Leonardo da Vinci (wd:Q101431569): 2001 documentary film by Jean-Claude Lubtchansky
5. Leonardo da Vinci (wd:Q18503359): human settlement
6. Leonardo da Vinci (wd:Q18498247): human settlement in Italy
7. Leonardo Da Vinci (wd:Q2115987): 1982 Sauro-class submarine
8. Rosa 'Leonardo da Vinci', also known as Leonardo da Vinci (wd:Q1819112): rose cultivar
9. RFA Maine, also known as Leonardo da Vinci (wd:Q3830354): steam ship
10. Leonardo da Vinci (wd:Q13749278): Dortmund –Milan passenger train

[Tool]
Got 24 rows and 3 columns, showing the first 10 rows below:
| subject                     | property              | object                     |
| --------------------------- | --------------------- | -------------------------- |
| Leonardo da Vinci (wd:Q762) | occupation (wdt:P106) | writer (wd:Q36180)         |
| Leonardo da Vinci (wd:Q762) | occupation (wdt:P106) | scientist (wd:Q901)        |
| Leonardo da Vinci (wd:Q762) | occupation (wdt:P106) | composer (wd:Q36834)       |
| Leonardo da Vinci (wd:Q762) | occupation (wdt:P106) | mathematician (wd:Q170790) |
| Leonardo da Vinci (wd:Q762) | occupation (wdt:P106) | architect (wd:Q42973)      |
| Leonardo da Vinci (wd:Q762) | occupation (wdt:P106) | engineer (wd:Q81096)       |
| Leonardo da Vinci (wd:Q762) | occupation (wdt:P106) | philosopher (wd:Q4964182)  |
| Leonardo da Vinci (wd:Q762) | occupation (wdt:P106) | astronomer (wd:Q11063)     |
| Leonardo da Vinci (wd:Q762) | occupation (wdt:P106) | physicist (wd:Q169470)     |
| Leonardo da Vinci (wd:Q762) | occupation (wdt:P106) | diplomat (wd:Q193391)      |
| ...                         | ...                   | ...                        |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?currencyLabel WHERE {
  wd:Q130498 rdfs:label ?currencyLabel .
}

Got 96 rows and 1 column, showing the first 5 and last 5 rows below:
| currencyLabel       |
| ------------------- |
| Armeenia dramm (et) |
| Armeense dram (af)  |
| Armeense dram (nl)  |
| armena dramo (eo)   |
| Armenia dram (nan)  |
| ...                 |
| 亚美尼亚德拉姆 (zh-sg)     |
| 亞美尼亞德拉姆 (yue)       |
| 亞美尼亞德拉姆 (zh-hant)   |
| 亞美尼亞德拉姆 (zh-hk)     |
| 亞美尼亞德拉姆 (zh-tw)     |

The currency of Armenia is the Armenian dram, also known as Dram, with the symbol ֏.

[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 armenian currency?

[Tool]
Top 10 entity alternatives:
1. Armenia, also known as AM, ARM, Hayastan, Hayastani Hanrapetut’yun, Republic of Armenia (wd:Q399): sovereign state in the South Caucasus region of Eurasia
2. Armenia (wd:Q328518): capital of the Colombian department of Quindío
3. First Republic of Armenia, also known as Armenia (wd:Q139670): Armenian state existing from 1918–1920
4. 780 Armenia, also known as (780) Armenia, Armenia (wd:Q157057): main-belt asteroid
5. Roman Armenia, also known as Armenia (wd:Q1254480): Roman province
6. Armenia, also known as Armenia, Antioquia (wd:Q934767): Colombian municipality of the department of Antioquia
7. Armenia (wd:Q682015): district in Eastern Sonsonate, El Salvador
8. Armenia, also known as Armenia, WI (wd:Q2219381): town in Wisconsin, United States
9. Armenia, also known as Armenia (historical region) (wd:Q4069598): historical territory
10. Armênia, also known as Armenia, Ponte Pequena (wd:Q5244779): metro station in São Paulo, Brazil

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 2 columns

[Tool]
Got 2,322 rows and 3 columns, showing the first 10 rows below:
| subject           | property                        | object                                                                       |
| ----------------- | ------------------------------- | ---------------------------------------------------------------------------- |
| Armenia (wd:Q399) | instance of (wdt:P31)           | country (wd:Q6256)                                                           |
| Armenia (wd:Q399) | country (wdt:P17)               | Armenia (wd:Q399)                                                            |
| Armenia (wd:Q399) | coordinate location (wdt:P625)  | POINT(44.950000 40.383333) (geo:wktLiteral)                                  |
| Armenia (wd:Q399) | Commons category (wdt:P373)     | Armenia                                                                      |
| Armenia (wd:Q399) | image (wdt:P18)                 | <http://commons.wikimedia.org/wiki/Special:FilePath/Noravank%20panorama.jpg> |
| Armenia (wd:Q399) | part of (wdt:P361)              | Eastern Europe (wd:Q27468)                                                   |
| Armenia (wd:Q399) | population (wdt:P1082)          | 2930450 (xsd:decimal)                                                        |
| Armenia (wd:Q399) | inception (wdt:P571)            | 1991-09-23T00:00:00Z (xsd:dateTime)                                          |
| Armenia (wd:Q399) | short name (wdt:P1813)          | 🇦🇲 (zxx)                                                                     |
| Armenia (wd:Q399) | described by source (wdt:P1343) | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358)                     |
| ...               | ...                             | ...                                                                          |

[Tool] Got no rows and 2 columns

[Tool]
Top 10 entity alternatives:
1. Armenian dram, also known as Dram (wd:Q130498): currency
2. ֏, also known as ARMENIAN DRAM SIGN, U+058F (wd:Q87499924): Unicode character
3. Armenian drama (wd:Q130719023)
4. Armenian Drama Studio (wd:Q13054142): theatre in Moscow
5. 200 Dram (Armenian Dram) [Num389454] (wd:Q131988241): Circulating commemorative coins - Milled - Armenia
6. 20 Dram (Armenian Dram) [Num389443] (wd:Q131988115): Circulating commemorative coins - Milled - Armenia
7. 100 Dram (Armenian Dram) [Num389449] (wd:Q131988227): Circulating commemorative coins - Milled - Armenia
8. 10 Dram (Armenian Dram) [Num389441] (wd:Q131988111): Circulating commemorative coins - Milled - Armenia
9. 500 Dram (Armenian Dram) [Num389455] (wd:Q131988297): Circulating commemorative coins - Milled - Armenia
10. 50 Dram (Armenian Dram) [Num389445] (wd:Q131988004): Circulating commemorative coins - Milled - Armenia

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q225 wdt:P170 ?language
}

The primary language spoken in Bosnia and Herzegovina is Bosnian, which is part of the South Slavic language family. However, the country has three official languages: Bosnian, Croatian, and Serbian, reflecting its multi-ethnic composition.

[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 language do people from bosnia speak?

[Tool]
Top 10 entity alternatives:
1. Bosnia and Herzegovina, also known as Bosnia-Herzegovina, Bosnia & Herzegovina, Bosnia and Hercegovina, Bosnia, BIH (wd:Q225): country in Southeast Europe
2. Bosnia (wd:Q188736): region in Bosnia and Herzegovina
3. Bosnia (wd:Q4947317): live album by Grand Funk Railroad
4. Bosna, also known as Bosnia (song), Bosnia (wd:Q25502969): Croatian song
5. Bosnia (wd:Q10433448): 1996 live album by Ulf Lundell
6. Bosnia (wd:Q29021052): song by Argentine musician Luis Alberto Spinetta in the álbum Spinetta y los Socios del Desierto
7. Bosnia (wd:Q103894070): encyclopedia article
8. Bosnia (wd:Q119441173): painting by James Potter (active 1998–2000), Royal Military Police Museum
9. Bosnia (wd:Q74241437): scientific article published on January 10, 1998
10. Bosnia (wd:Q80218280): photograph by Ron Haviv

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool]
Got 2,219 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                       | object                                                                                |
| -------------------------------- | ------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------- |
| Bosnia and Herzegovina (wd:Q225) | instance of (wdt:P31)          | country (wd:Q6256)                                                                                |
| Bosnia and Herzegovina (wd:Q225) | country (wdt:P17)              | Bosnia and Herzegovina (wd:Q225)                                                                                |
| Bosnia and Herzegovina (wd:Q225) | coordinate location (wdt:P625) | POINT(18.000000 44.000000) (geo:wktLiteral)                                                                                |
| Bosnia and Herzegovina (wd:Q225) | Commons category (wdt:P373)    | Bosnia and Herzegovina                                                                                |
| Bosnia and Herzegovina (wd:Q225) | image (wdt:P18)                | <http://commons.wikimedia.org/wiki/Special:FilePath/Gornji%20Orahovac%2C%20Bosnia%20y%20Herzegovina%2C%202014-04-14%2C%20DD%2010-13%20PAN.jpg> |
| Bosnia and Herzegovina (wd:Q225) | part of (wdt:P361)             | Southern Europe (wd:Q27449)                                                                                |
| Bosnia and Herzegovina (wd:Q225) | population (wdt:P1082)         | 3816459 (xsd:decimal)                                                                                |
| Bosnia and Herzegovina (wd:Q225) | inception (wdt:P571)           | 1992-03-01T00:00:00Z (xsd:dateTime)                                                                                |
| Bosnia and Herzegovina (wd:Q225) | short name (wdt:P1813)         | 🇧🇦 (zxx)                                                                                |
| Bosnia and Herzegovina (wd:Q225) | has part(s) (wdt:P527)         | Republika Srpska (wd:Q11196)                                                                                |
| ...                              | ...                            | ...                                                                                |

[Tool] Got no rows and 1 columns

[Tool] Stopped generation process


Failed to generate SPARQL 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] what is serbian language called?

[Tool]
Top 10 entity alternatives:
1. Serbian, also known as Srpski, Serbian language (wd:Q9299): standardized variety of Serbo-Croatian language used by Serbs
2. Sorbian, also known as Serbian language, Wendic language, Wendish (wd:Q25442): Lechitic language spoken by the Sorbs
3. Serbian language (wd:L616516-S1)
4. Serbian (language) (wd:L613158-S1)
5. History of Serbian, also known as Serbian language history (wd:Q31183797)
6. Serbian Sign Language (wd:Q113203025)
7. Serbian language in Croatia, also known as use of the Serbian language in Croatia (wd:Q20974148): overview about the use of the Serbian language in Croatia
8. Institute for Serbian Language (wd:Q16082649)
9. Serbian language in Montenegro (wd:Q65201055)
10. romanization of Serbian, also known as romanisation of Serbian, romanization of the Serbian language (wd:Q7362708): overview about the romanization of the Serbian language

[Assistant]
The Serbian language is primarily called **Serbian** (or **Srpski** in Serbian). The entity `wd:Q9299` confirms this, as it is the standardized variety of Serbo-Croatian used by Serbs. The alternative name "Srpski" refers to the Serbian language in its native name.

**Answer:** The Serbian language is called **Serbian** (or **Srpski**).


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?occupation WHERE {
  wd:Q191499 wdt:P106 ?occupation
}

Scott Joplin played as a jazz musician, composer, pianist, and banjoist.

[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 did scott joplin play?

[Tool]
Top 10 entity alternatives:
1. Scott Joplin, also known as The king of Ragtime (wd:Q191499): American composer, musician, and pianist, jazz musician, banjoist, composer, pianist
2. Scott Joplin (wd:Q12127336): 1977 film by Jeremy Kagan
3. Scott Joplin (wd:Q28730081): painting by Ellen Banks
4. Scott Joplinlaan (wd:Q19513256): street in Eindhoven, the Netherlands
5. Scott Joplinrode (wd:Q19513257): street in Zoetermeer, the Netherlands
6. Scott Joplin: Piano Rags (wd:Q7436590): album by Joshua Rifkin
7. Scott Joplin's foot (wd:Q30538526): scientific article published on July 1, 1998
8. Scott Joplin: Questions Remain (wd:Q113214829): scientific article published on 18 April 2006
9. Scott Joplin: Complete Piano Works, also known as The Collected Works of Scott Joplin (wd:Q28156183): book by Scott Joplin
10. Scott Joplin’s New Rag (wd:Q29003610): ragtime composition for piano by Scott Joplin

[Tool]
Top 10 property alternatives:
1. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
2. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as wdt/p): musical instrument that a person plays or teaches or used in a music occupation, uses
3. AllMusic artist ID, also known as AllMusic, AllMusic ID, amg artist (wd:P1728 as wdt/p): identifier for an artist, musical group, or record label in the AllMusic database (record labels are listed as "artists")
4. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as wdt/p): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
5. Apple Music artist ID (U.S. version), also known as iTunes author ID, music.apple.com/artist/, iTunes artist ID (American version), https://music.apple.com/artist/, Apple Music artist ID (American version) (wd:P2850 as wdt/p): identifier for a musical artist or author in the U.S. version of Apple Music
6. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt/p): notable scientific, artistic or literary work, or other work of significance among subject's works
7. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): 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. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
10. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Tool]
Got 4 rows and 1 column:
| occupation                   |
| ---------------------------- |
| jazz musician (wd:Q15981151) |
| composer (wd:Q36834)         |
| pianist (wd:Q486748)         |
| banjoist (wd:Q9648008)       |

[Tool] Stopped generation process