PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?seat ?seatLabel WHERE {
  wd:Q7159 wdt:P159 ?seat .
  OPTIONAL {
    ?seat rdfs:label ?seatLabel FILTER ( LANG( ?seatLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| seat                     | seatLabel         |
| ------------------------ | ----------------- |
| Johannesburg (wd:Q34647) | Johannesburg (en) |
| Addis Ababa (wd:Q3624)   | Addis Ababa (en)  |

The seat(s) of the African Union (wd:Q7159) are:
- Addis Ababa (wd:Q3624)
- Johannesburg (wd:Q34647)

[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]
Top 10 property alternatives:
1. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as p/wdt): seat of government of a country, province, state or other type of administrative territorial entity
3. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as p/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
4. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as p/wdt): position of the head of this item
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
6. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
7. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as p/wdt): text through which an institution or object has been created or established

No other items found

[Tool]
Got 2 rows and 1 column:
| seat                     |
| ------------------------ |
| Johannesburg (wd:Q34647) |
| Addis Ababa (wd:Q3624)   |

[Tool]
Got 2 rows and 3 columns:
| seat                     | start | end |
| ------------------------ | ----- | --- |
| Addis Ababa (wd:Q3624)   |       |     |
| Johannesburg (wd:Q34647) |       |     |

[Tool]
Got 2 rows and 2 columns:
| seat                     | rank                |
| ------------------------ | ------------------- |
| Addis Ababa (wd:Q3624)   | wikibase:NormalRank |
| Johannesburg (wd:Q34647) | wikibase:NormalRank |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  wd:Q3542 wdt:P17 ?country .
  ?country wdt:P706 wd:Q66065 .
  ?country wdt:P31 wd:Q6256 .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| country          | countryLabel |
| ---------------- | ------------ |
| Niger (wd:Q1032) | Niger (en)   |

The Niger River flows through the Sahel countries Mauritania, Niger, Sudan, and Chad.

[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. Sahel, also known as West African Sahel, West African Sahel region (wd:Q66065): ecoclimatic and biogeographic transition zone in Africa
2. Sahel, also known as Sahel, Tunisia (wd:Q957052): region of Tunisia
3. Sahel (wd:Q3461536): commune of Mali
4. Sahel (wd:Q7399580): town in Larache Province, Morocco
5. Sahel (wd:Q28899612): douar in Morocco
6. Sahel (wd:Q28899611): douar in Morocco (Al Hoceima)
7. Sahel (wd:Q7399583): former province of Eritrea
8. Sahel (wd:Q23945221)
9. Sahel, also known as Sahel (app), Sahel app, Sahel (application), Sahel application, The Unified Government Application of Electronic Services (wd:Q108520833): Kuwaiti government application
10. Sahel, also known as Sahel (family name), Sahel (surname) (wd:Q68518612): family name

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. SAHRA heritage site ID (wd:P3759 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): identifier of heritage sites in South Africa, assigned by the South African Heritage Resources Agency
2. continent (wd:P30 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): continent of which the subject is a part, located in/on physical feature
3. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): part, aspect, or form of the item to which the claim applies
4. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
5. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
6. basin country, also known as basin countries (wd:P205 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): country that have drainage to/from or border the body of water
7. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
8. salinity, also known as saltiness (wd:P4350 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): amount of dissolved salt in a body of water
9. Great Ukrainian Encyclopedia Online ID, also known as Great Ukrainian Encyclopedia Web, VUE, GUE (wd:P9765 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): ID for an entry on the official website of the Great Ukrainian Encyclopedia
10. drainage basin, also known as watershed, water basin, river basin district, river basin, catchment area (wd:P4614 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): 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

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. has use, also known as utility, used in, used for, used as, use (wd:P366 as p/wdt): main use of the subject (includes current and former usage)
2. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
3. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as p/wdt): object that partially overlaps with the subject in its instances, parts, or members, different from
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as p/wdt): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
10. used by, also known as armiger, user, played by, of (wd:P1535 as p/wdt): item or concept that makes use of the subject (use sub-properties when appropriate)

No other items found

[Tool]
Got 564 rows and 3 columns, showing the first 10 rows below:
| subject           | property                                       | object                                                                                |
| ----------------- | ---------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------- |
| Sahel (wd:Q66065) | instance of (wdt:P31)                          | geographic region (wd:Q82794)                                                                                |
| Sahel (wd:Q66065) | country (wdt:P17)                              | Egypt (wd:Q79)                                                                                |
| Sahel (wd:Q66065) | coordinate location (wdt:P625)                 | POINT(13.511696 14.474672) (geo:wktLiteral)                                                                                |
| Sahel (wd:Q66065) | Commons category (wdt:P373)                    | Sahel                                                                                |
| Sahel (wd:Q66065) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Sahel%20Scene%20-%20Dori%20-%20Sahel%20Region%20-%20Burkina%20Faso.jpg> |
| Sahel (wd:Q66065) | part of (wdt:P361)                             | Sudano-Sahelian Region (wd:Q106474492)                                                                                |
| Sahel (wd:Q66065) | described by source (wdt:P1343)                | Encyclopædia Britannica 11th edition (wd:Q867541)                                                                           |
| Sahel (wd:Q66065) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                                                |
| Sahel (wd:Q66065) | native label (wdt:P1705)                       | le Sahel (fr)                                                                                |
| Sahel (wd:Q66065) | different from (wdt:P1889)                     | wd:Q365778                                                                                |
| ...               | ...                                            | ...                                                                                |

[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 psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): the body of water to which the watercourse drains
2. facilitates flow of, also known as carries, channel for, controls flux of, enables flow of, regulates flow of (wd:P10228 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): the cargo/substrate actively transported or passively channeled by a protein
3. tributary, also known as has inflow of, affluent, receives tributary, receives river, has river inflow (wd:P974 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): watercourse that flows into an other one (for lake inflows use P200)
4. inflows, also known as inflow, lake inflow, river inflows (wd:P200 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): major inflow sources — rivers, aquifers, glacial runoff, etc. Some terms may not be place names, e.g. none
5. outflows, also known as lake outflow, outflow (wd:P201 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): rivers and other outflows waterway names. If evaporation or seep...be included. Some terms may not be place names, e.g. evaporation
6. origin of the watercourse, also known as headwaters, water source, water origin, water body origin, stream source (wd:P885 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): main source of a river, stream or lake
7. next crossing downstream, also known as downstream crossing adjacent (wd:P2674 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): next crossing of this river, canal, etc. downstream of this subject, followed by
8. crosses, also known as under, tunnel under, through, spanning, over (wd:P177 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): obstacle (body of water, road, railway...) which this bridge (ferry, ford) crosses over or this tunnel goes under
9. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): body of water on or next to which a place is located, location
10. total produced, also known as total made, total built, quantity issued, qty produced, qty made (wd:P1092 as psn/prv/p/prn/pqn/pqv/wdt/pr/psv/ps/pq/wdtn): quantity of item produced

[Tool]
Got 5 rows and 3 columns:
| subject               | property                                  | object            |
| --------------------- | ----------------------------------------- | ----------------- |
| Sudan (wd:Q1049)      | located in/on physical feature (wdt:P706) | Sahel (wd:Q66065) |
| Chad (wd:Q657)        | located in/on physical feature (wdt:P706) | Sahel (wd:Q66065) |
| Mauritania (wd:Q1025) | located in/on physical feature (wdt:P706) | Sahel (wd:Q66065) |
| Niger (wd:Q1032)      | located in/on physical feature (wdt:P706) | Sahel (wd:Q66065) |
| wd:Q126722221         | located in/on physical feature (wdt:P706) | Sahel (wd:Q66065) |

[Tool]
Got 1 row and 3 columns:
| subject       | property              | object                    |
| ------------- | --------------------- | ------------------------- |
| wd:Q126722221 | instance of (wdt:P31) | national park (wd:Q46169) |

[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 5 rows and 1 column:
| country            |
| ------------------ |
| Guinea (wd:Q1006)  |
| Niger (wd:Q1032)   |
| Nigeria (wd:Q1033) |
| Mali (wd:Q912)     |
| Benin (wd:Q962)    |

[Tool]
Top 10 entity alternatives:
1. Université du Sahel, also known as IAU-019709, UNIS, Universite du Sahel, University of the Sahel (wd:Q3551765): private higher education institution in Senegal
2. Countries of the Caucasus, also known as Countries of the Caucasus Region (wd:Q12420881)
3. Countries of the World (wd:Q98140491): children's nonfiction book series
4. The Countries of the World (wd:Q60407717)
5. The Countries of the World (wd:Q60403431): scientific article published in Nature
6. The Countries of the World (wd:Q60117308)
7. Leo Belgicus, also known as Lion of the Low Countries (wd:Q545043): animalisation of the Low Countries
8. Gate of All Nations, also known as The Gate of All Countries, The Gate of All Nations, Gate of Xerxes, Gate of All Lands, Gate of All Countries (wd:Q5527015): gate in Persepolis, Iran
9. Gate of the Catalan Countries (wd:Q1816003): gate in Salses, France
10. terminology of the Low Countries (wd:Q13438552): terminology

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Sudano-Sahelian Region, also known as Sudano-Sahel, Sudano Sahelian Region, Sudano-Sahelian Zone, Sudano-Sahel Region (wd:Q106474492): region including the Sahel and neighbouring drought-stricken areas of Africa
2. geographic region, also known as geographic area, region, geographic zone, geographical zone, geographical region (wd:Q82794): 2D or 3D defined space on something, mainly in terrestrial and astrophysics sciences
3. region of England, also known as region (wd:Q48091): United Kingdom sub-national administrative division used in England
4. region of Finland, also known as sekundärkommun, landskapsförbund, regions of Finland, maakunta, landskap (wd:Q193512): regional subdivision of Finland
5. region of New Zealand, also known as Region (wd:Q216712): local government areas of New Zealand
6. code block, also known as region of code, block of code, region, block, code region (wd:Q1327579): computer programming term; section of code which is grouped together
7. domain, also known as region (wd:Q11235244): connected open subset of a finite-dimensional vector space
8. administrative region, also known as administrative area, region (wd:Q3455524): term for certain administrative divisions in some countries
9. military region of Spain, also known as military district, military district of Spain, Military Region, Military Region (Spain), Region (wd:Q6853104): former military district in Spain
10. Región, also known as Region (wd:Q6104121): newspaper in Oviedo, Spain, from 1923 to 1983

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. country, also known as countries (wd:Q6256): distinct territorial body or political entity
2. Sahel, also known as West African Sahel, West African Sahel region (wd:Q66065): ecoclimatic and biogeographic transition zone in Africa
3. Sahel, also known as Sahel, Tunisia (wd:Q957052): region of Tunisia
4. Sahel (wd:Q3461536): commune of Mali
5. Sahel (wd:Q7399580): town in Larache Province, Morocco
6. Sahel (wd:Q28899612): douar in Morocco
7. Sahel (wd:Q28899611): douar in Morocco (Al Hoceima)
8. Sahel (wd:Q7399583): former province of Eritrea
9. Sahel (wd:Q23945221)
10. Sahel, also known as Sahel (app), Sahel app, Sahel (application), Sahel application, The Unified Government Application of Electronic Services (wd:Q108520833): Kuwaiti government application

[Tool]
Got 1 row and 3 columns:
| subject                | property                                  | object                 |
| ---------------------- | ----------------------------------------- | ---------------------- |
| Burkina Faso (wd:Q965) | located in/on physical feature (wdt:P706) | West Africa (wd:Q4412) |

[Tool]
Got 1 row and 3 columns:
| subject        | property           | object                 |
| -------------- | ------------------ | ---------------------- |
| Mali (wd:Q912) | part of (wdt:P361) | West Africa (wd:Q4412) |

[Tool]
Got 4 rows and 1 column:
| country               |
| --------------------- |
| Mauritania (wd:Q1025) |
| Niger (wd:Q1032)      |
| Sudan (wd:Q1049)      |
| Chad (wd:Q657)        |

[Tool]
Got 1 row and 3 columns:
| subject            | property                                  | object                 |
| ------------------ | ----------------------------------------- | ---------------------- |
| Nigeria (wd:Q1033) | located in/on physical feature (wdt:P706) | West Africa (wd:Q4412) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?work ?workLabel WHERE {
  ?work wdt:P161 wd:Q207598 .
  OPTIONAL {
    ?work rdfs:label ?workLabel FILTER ( LANG( ?workLabel ) = "en" )
  }
}
ORDER BY ?workLabel

Got 45 rows and 2 columns, showing the first 5 and last 5 rows below:
| work                                                         | workLabel                                           |
| ------------------------------------------------------------ | --------------------------------------------------- |
| A Burning Passion: The Margaret Mitchell Story (wd:Q4655687) | A Burning Passion: The Margaret Mitchell Story (en) |
| Almost Dead (wd:Q3324500)                                    | Almost Dead (en)                                    |
| Another Day (wd:Q4168681)                                    | Another Day (en)                                    |
| Back in the Day (wd:Q56302226)                               | Back in the Day (en)                                |
| Beverly Hills, 90210 (wd:Q117590)                            | Beverly Hills, 90210 (en)                           |
| ...                                                          | ...                                                 |
| Suite 7 (wd:Q52436610)                                       | Suite 7 (en)                                        |
| The Lost Treasure of the Grand Canyon (wd:Q1170683)          | The Lost Treasure of the Grand Canyon (en)          |
| The Rendering (wd:Q1665902)                                  | The Rendering (en)                                  |
| The Ticket (wd:Q4086673)                                     | The Ticket (en)                                     |
| The Webventures of Justin and Alden (wd:Q52533464)           | The Webventures of Justin and Alden (en)            |

This query returns all films, television series, and other productions in which Shannen Doherty (wd:Q207598) has played a role, along with their English labels.

[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 45 rows and 2 columns, showing the first 5 and last 5 rows below:
| work                                                         | workLabel                                           |
| ------------------------------------------------------------ | --------------------------------------------------- |
| A Burning Passion: The Margaret Mitchell Story (wd:Q4655687) | A Burning Passion: The Margaret Mitchell Story (en) |
| Almost Dead (wd:Q3324500)                                    | Almost Dead (en)                                    |
| Another Day (wd:Q4168681)                                    | Another Day (en)                                    |
| Back in the Day (wd:Q56302226)                               | Back in the Day (en)                                |
| Beverly Hills, 90210 (wd:Q117590)                            | Beverly Hills, 90210 (en)                           |
| ...                                                          | ...                                                 |
| Suite 7 (wd:Q52436610)                                       | Suite 7 (en)                                        |
| The Lost Treasure of the Grand Canyon (wd:Q1170683)          | The Lost Treasure of the Grand Canyon (en)          |
| The Rendering (wd:Q1665902)                                  | The Rendering (en)                                  |
| The Ticket (wd:Q4086673)                                     | The Ticket (en)                                     |
| The Webventures of Justin and Alden (wd:Q52533464)           | The Webventures of Justin and Alden (en)            |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?governmentType ?governmentTypeLabel WHERE {
  wd:Q796 wdt:P122 ?governmentType .
  OPTIONAL {
    ?governmentType rdfs:label ?governmentTypeLabel FILTER ( LANG( ?governmentTypeLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| governmentType                | governmentTypeLabel   |
| ----------------------------- | --------------------- |
| federation (wd:Q43702)        | federation (en)       |
| federal republic (wd:Q512187) | federal republic (en) |

Iraq’s government is classified as both a federation and a federal republic.

[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]
Got 2 rows and 2 columns:
| govType                       | govTypeLabel          |
| ----------------------------- | --------------------- |
| federation (wd:Q43702)        | federation (en)       |
| federal republic (wd:Q512187) | federal republic (en) |

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as p/wdt): subject's government
2. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as p/wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
3. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as p/wdt): seat of government of a country, province, state or other type of administrative territorial entity
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as p/wdt): political office that is fulfilled by the head of the government of this item
5. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as p/wdt): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
6. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as p/wdt): political office that is fulfilled by the head of state of this item
8. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as p/wdt): official with the highest formal authority in a country/state, director / manager, chairperson
9. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
10. diplomatic relation, also known as political relation, political relations, foreign relations, foreign relation, diplomatic relations (wd:P530 as p/wdt): diplomatic relations of the country

No other items found

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?placeOfBirthLabel WHERE {
  wd:Q218718 wdt:P19 ?placeOfBirth .
  ?placeOfBirth rdfs:label ?placeOfBirthLabel .
  FILTER ( LANG( ?placeOfBirthLabel ) = "en" )
}

Got 1 row and 1 column:
| placeOfBirthLabel |
| ----------------- |
| New Rochelle (en) |

Jay Leno is from New Rochelle.

[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 3 columns:
| subject               | property                 | object                    |
| --------------------- | ------------------------ | ------------------------- |
| Jay Leno (wd:Q218718) | place of birth (wdt:P19) | New Rochelle (wd:Q744948) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?movementLabel WHERE {
  wd:Q5593 wdt:P135 ?movement .
  ?movement rdfs:label ?movementLabel .
  FILTER ( LANG( ?movementLabel ) = "en" )
}

Got 3 rows and 1 column:
| movementLabel           |
| ----------------------- |
| Cubism (en)             |
| post-impressionism (en) |
| surrealism (en)         |

Pablo Picasso painted in the art movements Cubism, Post-Impressionism, and Surrealism.

[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]
Got 22 rows and 1 column, showing the first 5 and last 5 rows below:
| occupationLabel                 |
| ------------------------------- |
| painter (en)                    |
| printmaker (en)                 |
| sculptor (en)                   |
| costume designer (en)           |
| architectural draftsperson (en) |
| ...                             |
| graphic designer (en)           |
| illustrator (en)                |
| assemblage artist (en)          |
| poster artist (en)              |
| ceramicist (en)                 |

[Tool]
Got 3 rows and 1 column:
| movementLabel           |
| ----------------------- |
| Cubism (en)             |
| post-impressionism (en) |
| surrealism (en)         |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?university ?universityLabel WHERE {
  wd:Q76 wdt:P69 ?university .
  ?university wdt:P31 ?type .
  ?type wdt:P279 * wd:Q3918 .
  OPTIONAL {
    ?university rdfs:label ?universityLabel .
    FILTER ( LANG( ?universityLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| university                       | universityLabel          |
| -------------------------------- | ------------------------ |
| wd:Q13371                        | Harvard University (en)  |
| wd:Q13371                        | Harvard University (en)  |
| Occidental College (wd:Q1346110) | Occidental College (en)  |
| wd:Q49088                        | Columbia University (en) |
| wd:Q49088                        | Columbia University (en) |

Barack Obama graduated from Columbia University.

[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 11 rows and 3 columns, showing the first 10 rows below:
| subject               | property              | object                                           |
| --------------------- | --------------------- | ------------------------------------------------ |
| Barack Obama (wd:Q76) | educated at (wdt:P69) | Harvard Law School (wd:Q49122)                   |
| Barack Obama (wd:Q76) | educated at (wdt:P69) | Occidental College (wd:Q1346110)                 |
| Barack Obama (wd:Q76) | educated at (wdt:P69) | University of Chicago Law School (wd:Q1036763)   |
| Barack Obama (wd:Q76) | educated at (wdt:P69) | Punahou School (wd:Q3273124)                     |
| Barack Obama (wd:Q76) | educated at (wdt:P69) | Nelson High School (wd:Q14875335)                |
| Barack Obama (wd:Q76) | educated at (wdt:P69) | State Elementary School Menteng 01 (wd:Q4122998) |
| Barack Obama (wd:Q76) | educated at (wdt:P69) | Centaurus High School (wd:Q5059051)              |
| Barack Obama (wd:Q76) | educated at (wdt:P69) | King College Prep High School (wd:Q6411346)      |
| Barack Obama (wd:Q76) | educated at (wdt:P69) | wd:Q13371                                        |
| Barack Obama (wd:Q76) | educated at (wdt:P69) | Noelani Elementary School (wd:Q15262435)         |
| ...                   | ...                   | ...                                              |

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 190 for token } with content '}' (the input most likely does not follow the grammar)

[Tool]
Top 10 entity alternatives:
1. University of Portland, also known as Columbia University, UP, U of Portland (wd:Q513658): private Catholic university in Portland, Oregon, USA
2. Columbia University (wd:Q81004549): scientific article published on 1 January 1901
3. George Washington University, also known as Columbia College at Washington, Columbian College, Columbian University, GW, GWU (wd:Q432637): private university in Washington, D.C., USA
4. Columbia University Press, also known as CUP (wd:Q2080179): university press based in New York City, and affiliated with Columbia University
5. Columbia International University, also known as CIU (wd:Q1112489): American Christian College
6. Columbia College, also known as Columbia College of Columbia University, Columbia University Columbia College (wd:Q4569677): oldest undergraduate college at Columbia University in New York City
7. Columbia Southern University (wd:Q5149845): Alabama, United States
8. Columbia Lions, also known as Columbia University Lions (wd:Q3242000): collective athletic teams and their members from Columbia University
9. Columbia University Libraries, also known as CUL (wd:Q5149897): academic library at Columbia University
10. Columbia State University (wd:Q5149847): Defunct university

[Tool]
Top 10 entity alternatives:
1. university, also known as uni, universities (wd:Q3918): academic institution for further education
2. University, also known as Suitcase City, University, FL (wd:Q2463874): human settlement in Hillsborough County, Florida, USA
3. medieval university, also known as mediaeval university, university (wd:Q1143413): corporation organized during the High Middle Ages
4. University, also known as University, Orange County, University, FL, University, Florida (wd:Q7894478): Orange County, Florida, USA
5. University, also known as University CDP, University Census Designated Place, University, Mississippi, University, MS (wd:Q3612349): census-designated place in Mississippi, United States
6. Expo Park/USC, also known as University (wd:Q1953496): Los Angeles Metro station
7. University Avenue, also known as University, University Ave (wd:Q3551335): street in Toronto, Ontario
8. Universidad, also known as Universidad station, University (wd:Q25442975): subway station in San Juan, Puerto Rico
9. University (wd:Q7894493): constituency of the Central and Western District Council of Hong Kong
10. Hochschule, also known as technical university, university (wd:Q21028957): German term for "higher schooling", i.e. institutions of tertiar... which may or may not include vocational or professional schools

[Tool]
Got 3 rows and 3 columns:
| subject                        | property              | object                         |
| ------------------------------ | --------------------- | ------------------------------ |
| Harvard Law School (wd:Q49122) | instance of (wdt:P31) | publisher (wd:Q2085381)        |
| Harvard Law School (wd:Q49122) | instance of (wdt:P31) | graduate school (wd:Q20820271) |
| Harvard Law School (wd:Q49122) | instance of (wdt:P31) | law school (wd:Q1321960)       |

[Tool]
Got 4 rows and 3 columns:
| subject   | property              | object                                                        |
| --------- | --------------------- | ------------------------------------------------------------- |
| wd:Q13371 | instance of (wdt:P31) | private university (wd:Q902104)                               |
| wd:Q13371 | instance of (wdt:P31) | research university (wd:Q15936437)                            |
| wd:Q13371 | instance of (wdt:P31) | Colonial Colleges (wd:Q1188663)                               |
| wd:Q13371 | instance of (wdt:P31) | private not-for-profit educational institution (wd:Q23002054) |

[Tool]
Got 4 rows and 2 columns:
| school                                         | degree                           |
| ---------------------------------------------- | -------------------------------- |
| wd:Q13371                                      | Juris Doctor (wd:Q1540185)       |
| wd:Q49088                                      | Bachelor of Arts (wd:Q1765120)   |
| Harvard Law School (wd:Q49122)                 | Juris Doctor (wd:Q1540185)       |
| University of Chicago Law School (wd:Q1036763) | Bachelor of Science (wd:Q787674) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?artType ?artTypeLabel WHERE {
  wd:Q762 wdt:P101 ?artType .
  ?artType wdt:P279 * wd:Q36649 .
  OPTIONAL {
    ?artType rdfs:label ?artTypeLabel FILTER ( LANG( ?artTypeLabel ) = "en" )
  }
}

Leonardo da Vinci made art of painting (painting).

[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 2 columns, showing the first 5 and last 5 rows below:
| occupation                    | occupationLabel     |
| ----------------------------- | ------------------- |
| painter (wd:Q1028181)         | painter (en)        |
| anatomist (wd:Q10872101)      | anatomist (en)      |
| astronomer (wd:Q11063)        | astronomer (en)     |
| sculptor (wd:Q1281618)        | sculptor (en)       |
| civil engineer (wd:Q13582652) | civil engineer (en) |
| ...                           | ...                 |
| philosopher (wd:Q4964182)     | philosopher (en)    |
| designer (wd:Q5322166)        | designer (en)       |
| chemist (wd:Q593644)          | chemist (en)        |
| engineer (wd:Q81096)          | engineer (en)       |
| scientist (wd:Q901)           | scientist (en)      |

[Tool]
Got 2 rows and 2 columns:
| movement                       | movementLabel         |
| ------------------------------ | --------------------- |
| High Renaissance (wd:Q1474884) | High Renaissance (en) |
| Renaissance (wd:Q4692)         | Renaissance (en)      |

[Tool]
Top 10 property alternatives:
1. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
2. Commons gallery, also known as gallery (wd:P935 as p/wdt): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
3. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
4. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p): educational institution attended by subject, affiliation
5. has works in the collection, also known as has items in the collection, works in collection, work in collection, museum housing this person's work, items in the collection (wd:P6379 as p/wdt): collection that has works of this person or organisation (use archives at [P485] for archives)
6. catalogue raisonné, also known as reasoned catalogue, artist catalogue, artist catalog, Art Catalog (wd:P9969 as p/wdt): comprehensive, annotated listing of all the known artworks by an artist either in a particular medium or all media., catalog
7. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as p/wdt): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
8. Artsy artist ID, also known as Artsy artist identifier, Artsy id (wd:P2042 as p/wdt): identifier at the Artsy website
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. Web Gallery of Art artist ID, also known as WGA artist id, WGA ID, Web Gallery of Art identifier, Web Gallery of Art ID (wd:P1882 as p/wdt): identifier for an artist in the Web Gallery of Art

No other items found

[Tool]
Top 10 property alternatives:
1. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
2. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
3. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
4. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
5. UK National Archives ID, also known as UKNA ID, NRA ID, TNA ID, TNA, Public Record Office (wd:P3029 as p/wdt): identifier for a person, family or organisation, in the UK's National Archives database
6. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. employer, also known as working at, working for, working place, works at, works for (wd:P108 as p/wdt): person or organization for which the subject works or worked, affiliation
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. medical condition, also known as disability, suffers from, suffer from, sickness, paralympic disability (wd:P1050 as p): any state relevant to the health of an organism, including diseases and positive conditions

No other items found

[Tool]
Got 5 rows and 2 columns:
| field                                 | fieldLabel                    |
| ------------------------------------- | ----------------------------- |
| engineering (wd:Q11023)               | engineering (en)              |
| art of painting (wd:Q11629)           | art of painting (en)          |
| Renaissance architecture (wd:Q236122) | Renaissance architecture (en) |
| physiology (wd:Q521)                  | physiology (en)               |
| scenography (wd:Q737201)              | scenography (en)              |

[Tool]
Top 10 entity alternatives:
1. art (wd:Q735): field of work that creates expressive work for its beauty or emotional power (use Q838948 for the resulting work)
2. article, also known as art., ART, grammatical article, linguistic article (wd:Q103184): word used with a noun to indicate the type of reference being made by the noun; one of word classes
3. work of art, also known as art, artistic work, artistic works, art object, art piece (wd:Q838948): aesthetic item or artistic creation
4. palette, also known as 🎨 (wd:Q425548): flat surface for mixing paints
5. assisted reproductive technology, also known as ART, Reproductive Techniques, Assisted, infertility treatment, fertility treatment, assisted reproduction (wd:Q25862): methods used to achieve pregnancy by artificial or partially artificial means
6. Dicentra, also known as art (wd:Q157857): genus of plants
7. Android Runtime, also known as ART (wd:Q17512080): virtual machine for Android
8. Autonomous Rail Rapid Transit, also known as ART (wd:Q34370857): railless guided bus system
9. .art, also known as dot art (wd:Q26992005): sponsored top-level Internet domain
10. Arab Radio and Television Network, also known as Arab Radio and Television, Arab Radio and TV, Arab Radio and TV Network, ART (wd:Q2859338): Arab television network headquartered in Jeddah, Saudi Arabia

[Tool]
Got 2 rows and 3 columns:
| subject                     | property               | object                  |
| --------------------------- | ---------------------- | ----------------------- |
| art of painting (wd:Q11629) | subclass of (wdt:P279) | visual arts (wd:Q36649) |
| art of painting (wd:Q11629) | subclass of (wdt:P279) | activity (wd:Q1914636)  |

[Tool]
Got 1 row and 3 columns:
| subject               | property               | object                      |
| --------------------- | ---------------------- | --------------------------- |
| painter (wd:Q1028181) | subclass of (wdt:P279) | visual artist (wd:Q3391743) |

[Tool]
Got 1 row and 2 columns:
| field                       | fieldLabel           |
| --------------------------- | -------------------- |
| art of painting (wd:Q11629) | art of painting (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?currency ?currencyLabel WHERE {
  wd:Q399 wdt:P38 ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel FILTER ( LANG( ?currencyLabel ) = "en" )
  }
}

The currency of Armenia (wd:Q399) is the Armenian dram (wd:Q130498).

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

[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 1 row and 2 columns:
| currency                   | currencyLabel      |
| -------------------------- | ------------------ |
| Armenian dram (wd:Q130498) | Armenian dram (en) |

[Tool] Stopped generation process