PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?airport ?airportLabel WHERE {
  ?airport wdt:P31 wd:Q1248784 .
  ?airport wdt:P131 ?loc .
  ?loc wdt:P131 * wd:Q1384 .
  OPTIONAL {
    ?airport rdfs:label ?airportLabel FILTER ( lang( ?airportLabel ) = "en" )
  }
}
ORDER BY ?airportLabel
LIMIT 200

Using entities:
airport (wd:Q1248784), also known as aerodrome, air port, airports
New York (wd:Q1384), also known as Empire State, New York (state), New York state, New York, United States, NY, etc.

Using properties:
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 200 rows and 2 columns, showing the first 5 and last 5 rows below:
| airport                                           | airportLabel                            |
| ------------------------------------------------- | --------------------------------------- |
| Adirondack Airpark Estates Airport (wd:Q34954519) | Adirondack Airpark Estates Airport (en) |
| Adirondack Regional Airport (wd:Q4682995)         | Adirondack Regional Airport (en)        |
| Ag-Alley Airport (wd:Q34954530)                   | Ag-Alley Airport (en)                   |
| Airhaven Airport (wd:Q34954541)                   | Airhaven Airport (en)                   |
| Airlane Enterprises Airport (wd:Q34954552)        | Airlane Enterprises Airport (en)        |
| ...                                               | ...                                     |
| Lakeville Airport (wd:Q35273034)                  | Lakeville Airport (en)                  |
| Lapeer Flyer Airport (wd:Q34960662)               | Lapeer Flyer Airport (en)               |
| Laska Airport (wd:Q34960699)                      | Laska Airport (en)                      |
| Ledgedale Airpark (wd:Q10858095)                  | Ledgedale Airpark (en)                  |
| Le Roy Airport (wd:Q6507614)                      | Le Roy Airport (en)                     |

Answer: I assumed you meant New York State (wd:Q1384). The query above returns airports (instances of wd:Q1248784) located in administrative entities within New York State. Example airports included in the results are wd:Q8685 (John F. Kennedy International Airport) and wd:Q319654 (LaGuardia Airport). If you meant New York City specifically, or want only major/international airports, tell me and I will refine the query.

what is the name of airport in new york?

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

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

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

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

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

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

[User] what is the name of airport in new york?

[Assistant] I will first search for entities matching "New York" to identify the correct Wikidata items (city vs state). Then I'll search for the entity for "airport" to find the correct class/item to use in the query. I'll run searches against Wikidata to verify identifiers before composing the final SPARQL query. I'll explain my reasoning before each call.

[Tool]
Top 10 entity alternatives:
1. New York (wd:Q1384), also known as Empire State, New York (state), New York state, New York, United States, NY, etc.: is instance of state of the United States / state of the United States of America / state of the United States of America / is instance of U.S. state
2. Niu-York (wd:Q4322522, matched via New York), also known as New York, New-York, Novgorodske, Novgorodskoe, Novgorodskoye, etc.: rural settlement in Bakhmut Raion, Donetsk Oblast (province), Ukraine / is instance of rural settlement in Ukraine
3. New York (wd:Q1507987), also known as New York (magazine), New York Magazine, Vulture (blog): American magazine on life, culture, politics, and style, focusing on New York City / is instance of magazine
4. Province of New York (wd:Q769668, matched via New York), also known as Colony of New York, New York, New-York, New York Colony: former colony in North America, part of Great Britain / is instance of crown colony
5. New York (wd:Q2720168): is instance of album / album by Lou Reed / album by Lou Reed / Lou Reed album
6. Tiffany Pollard (wd:Q530355, matched via New York), also known as New York: has occupation television personality / American television personality / is instance of human
7. New York (wd:Q5239300): 2009 film directed by Kabir Khan / is instance of film
8. New York (wd:Q1251262), also known as New York, Texas, New York, TX: is instance of unincorporated community in the United States / town in Henderson County, Texas
9. New York (wd:Q7012934), also known as New York, Kentucky, New York, KY: is instance of unincorporated community in the United States / unincorporated community in Ballard County, Kentucky
10. New York (wd:Q13587801), also known as New York, Lincolnshire: hamlet in Lincolnshire, England, UK / is instance of hamlet

[Assistant] I'll search for the Wikidata item representing "airport" (the class) to use as a constraint in the query.

[Tool]
Top 10 entity alternatives:
1. airport (wd:Q1248784), also known as aerodrome, air port, airports: location where aircraft take off and land with extended support facilities, mostly for commercial air transport / location where aircraft take off and land / location where aircraft take off and land / is subclass of organisation / is subclass of organization / is subclass of aerodrome / is subclass of Aerodrome / is subclass of station
2. Airport (wd:Q409022): 1970 film directed by George Seaton / is instance of film
3. AirPort (wd:Q697292), also known as Apple AirPort: brand of wifi router equipment made by Apple Inc. / is instance of brand / Apple AirPort
4. Airport (wd:Q4698872), also known as Airport, CA, Airport, California: census-designated place in Stanislaus County, California, USA / is instance of census-designated place in the United States / is instance of census-designated place
5. Airport (wd:Q2604087): is instance of literary work / 1968 novel by Arthur Hailey
6. Kasese Airport (wd:Q6374123, matched via Airport), also known as Airport, HUKS, KSE: is instance of commercial traffic aerodrome / is instance of airport / airport in Uganda
7. Basongo Airport (wd:Q3339360, matched via airport), also known as airport, BAN, FZVR: airport in Democratic Republic of the Congo / is instance of airport
8. Airport (wd:Q11289474), also known as Rapid Airport: is instance of passenger train service / is instance of airport rail link / Rapid trains in Hokkaido, Japan / is instance of train service / is instance of rapid train
9. Bambili-Dingila Airport (wd:Q3206837, matched via airport), also known as Aéroport de Bambili-Dingila, airport, FZKB: airport in Democratic Republic of the Congo / is instance of aerodrome / is instance of Aerodrome
10. Airport (wd:Q4073688), also known as Airport Station: station on the RTA Red Line in Cleveland, Ohio, United States / is instance of airport railway station / is instance of underground station / is instance of metro station

[Assistant] I'll search for the property used to indicate the administrative territorial entity (e.g., city or state) of an airport, so I can filter airports located in New York. I expect P131 (located in the administrative territorial entity). I'll verify that property usage.

[Tool]
Top 10 property alternatives:
1. described by source (wd:P1343 as p/wdt, matched via found in), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
2. has part(s) (wd:P527 as p/wdt, matched via contains), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject, also valuable subclass or exemplar. Inverse property of "part of".
3. different from (wd:P1889 as p/wdt, matched via not), also known as confused with, differs from, disambiguated from, distinct from, distinguished from, etc.: item that is different from another item, with which it is often confused / item that is different from another item, with which it may be confused
4. image (wd:P18 as p/wdt, matched via still), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)
5. Library of Congress authority ID (wd:P244 as p/wdt/wdtn, matched via LOC ID), also known as Authority LCCN, LCAuth ID, LCAuth identifier, LCCN, LCCN (LCSH), etc.: Library of Congress name authority (persons, families, ... by 8-10 digits (see regex). For manifestations, use P1144] / Library of Congress ID for authority control for persons and organisations (for books use P1144) / Library of Congress control number for a name or subject authority record
6. NDL Authority ID (wd:P349 as p/wdt/wdtn, matched via ndl), also known as National Diet Library Auth ID, National Diet Library ID, National Diet Library of Japan authority control ID, National Diet Library of Japan ID, ndl, etc.: identifier for authority control per the National Diet Library of Japan
7. Nomenclature for Museum Cataloging (wd:P7749 as p/wdt/wdtn, matched via NOM), also known as NOM, Nomenclature id, NOM id, P7749: nomenclature for object naming and classification, maintained ... and American Association for State and Local History (AASLH) / Nomenclature for object naming and classification, maintained ... and American Association for State and Local History (AASLH)
8. subclass of (wd:P279 as p/wdt, matched via type of), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.: this item is a subclass (subset) of that item; ALL instances ... of volcanic landform); Everest is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain
9. has characteristic (wd:P1552 as p/wdt, matched via defined by), also known as aspect, attribute, characteristic, characterized by, defined by, etc.: inherent or distinguishing quality or feature of the entity. Use a more specific property when possible. / inherent or distinguishing quality or feature of the entity. Use a more specific property when possible / the entity has an inherent or distinguishing characteristic / the entity has an inherent or distinguishing characteristic
10. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category

No other items found

[Assistant] I'll search for the property "located in the administrative territorial entity" (expected to be P131) to verify its identifier.

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity (wd:P131 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / is subproperty of location / is subproperty of part of
2. located in the present-day administrative territorial entity (wd:P3842 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via located in the current administrative territorial entity), also known as current administrative territorial entity, current location, currently in, located in present day administrative territorial entity, located in present-day administrative territorial entity, etc.: the item was located in the territory of this present-day ... unit; however the two did not at any point coexist in time / the item was located in the territory of this present-day ... unit; however the two did not at any point coexist in time / is subproperty of location / is subproperty of part of
3. located in the statistical territorial entity (wd:P8138 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as located in statistical territorial entity, statistical territorial entity, P8138: statistical territorial entity in which a place is located or ... is split into or part of several regions: add several values / is subproperty of location
4. territory overlaps (wd:P3179 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via partly located in territorial entity), also known as overlaps, partially coextensive with, partially coincident with, partially contains territorial extent, partially located in territorial entity, etc.: part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity / part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity / is subproperty of partially coincident with
5. contains the administrative territorial entity (wd:P150 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via contains administrative territorial entity), also known as contains, contains administrative territorial entity, divided into, divides into, has administrative divisions, etc.: (list of) direct subdivisions of an administrative territorial entity / (list of) direct subdivisions of an administrative division / (list of) direct subdivisions of an administrative division / is subproperty of has part(s) / is subproperty of has part
6. located in the religious territorial entity (wd:P5607 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via located in the ecclesiastical territorial entity), also known as Deanery, located in the ecclesiastical territorial entity, Parish, religious territorial entity, Vicariate, etc.: the item is located on the territory of the following ecclesiastical entity. Use P708 (diocese) for dioceses / the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses / is subproperty of location / is subproperty of part of
7. location (wd:P276 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via located in), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
8. located in protected area (wd:P3018 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via located in territorial park), also known as located in bioreserve, located in biosphere reserve, located in conservation area, located in ecological protection area, located in national park, etc.: protected area where a place or geographical feature is physically located / is subproperty of located in the administrative territorial entity / the protected area a place or geographical feature belongs to
9. LAU (wd:P782 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via local administrative unit), also known as local administrative unit, P782: identifier for a local administrative unit, renamed from NUTS 4 and NUTS 5. Format: 2 letters followed by digits
10. associated electoral district (wd:P7938 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via located in the constituency), also known as associated constituency, constituency associated with place, electoral district associated with place, located in electoral district, located in the constituency, etc.: constituencies/electoral districts in which a place is ... from administrative entities (P131) in predefined countries

[Assistant]
The user asked "what is the name of airport in new york?" This is ambiguous: they might mean airports in New York City, or in New York State, and "name of airport" could refer to major airports. I should ask a clarification, but the developer instructions: produce a SPARQL query to answer the question. I need to choose an interpretation. I'll assume they mean airports located in New York (state) and return their names. I'll construct a SPARQL query that finds items that are instances of airport (wd:Q1248784) and located in New York state (wd:Q1384) or located in an administrative territorial entity that is within New York state (i.e., chain P131*). Also include airports that have New York City (wd:Q60) as location. But the user asked singular "name of airport in new york?" Could return multiple. I'll explain assumptions.

Now I'll verify New York state item wd:Q1384 and New York City wd:Q60. I saw Q1384 in search results, but confirm. I'll look up label for Q1384. Use list to fetch triples about wd:Q1384 instance of etc.
I'll verify the Wikidata item for New York (state) and for New York City to ensure correct identifiers before building the query. I'll list some triples for wd:Q1384 and wd:Q60.

[Tool]
Got 1,719 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                                    | object                                                                      |
| ------------------- | ----------------------------------------------------------- | --------------------------------------------------------------------------- |
| New York (wd:Q1384) | instance of (wdt:P31)                                       | U.S. state (wd:Q35657)                                                      |
| New York (wd:Q1384) | country (wdt:P17)                                           | United States (wd:Q30)                                                      |
| New York (wd:Q1384) | located in the administrative territorial entity (wdt:P131) | United States (wd:Q30)                                                      |
| New York (wd:Q1384) | coordinate location (wdt:P625)                              | POINT(-75.000000 43.000000) (geo:wktLiteral)                                |
| New York (wd:Q1384) | Commons category (wdt:P373)                                 | New York (state)                                                            |
| New York (wd:Q1384) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/NYSCapitolPanorama.jpg> |
| New York (wd:Q1384) | part of (wdt:P361)                                          | contiguous United States (wd:Q578170)                                       |
| New York (wd:Q1384) | Freebase ID (wdt:P646)                                      | /m/059rby                                                                   |
| New York (wd:Q1384) | GeoNames ID (wdtn:P1566)                                    | <https://sws.geonames.org/5128638/>                                         |
| New York (wd:Q1384) | population (wdt:P1082)                                      | 20201249 (xsd:decimal)                                                      |
| ...                 | ...                                                         | ...                                                                         |

[Assistant] Now verify New York City (wd:Q60).

[Tool]
Got 2,404 rows and 3 columns, showing the first 10 rows below:
| subject                | property                                                    | object                                                                                |
| ---------------------- | ----------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| New York City (wd:Q60) | instance of (wdt:P31)                                       | city in the United States (wd:Q1093829)                                                                                |
| New York City (wd:Q60) | country (wdt:P17)                                           | United States (wd:Q30)                                                                                |
| New York City (wd:Q60) | located in the administrative territorial entity (wdt:P131) | New York (wd:Q1384)                                                                                |
| New York City (wd:Q60) | coordinate location (wdt:P625)                              | POINT(-74.006111 40.712778) (geo:wktLiteral)                                                                                |
| New York City (wd:Q60) | Commons category (wdt:P373)                                 | New York City                                                                                |
| New York City (wd:Q60) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/NYC%20Downtown%20Manhattan%20Skyline%20seen%20from%20Paulus%20Hook%202019-12-20%20IMG%207347%20FRD%20%28cropped%29.jpg> |
| New York City (wd:Q60) | Freebase ID (wdt:P646)                                      | /m/02_286                                                                                |
| New York City (wd:Q60) | GeoNames ID (wdtn:P1566)                                    | <https://sws.geonames.org/5128581/>                                                                                |
| New York City (wd:Q60) | population (wdt:P1082)                                      | 8804190 (xsd:decimal)                                                                                |
| New York City (wd:Q60) | inception (wdt:P571)                                        | 1624-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| ...                    | ...                                                         | ...                                                                                |

[Assistant] I will construct a SPARQL query that finds items that are instances of airport (wd:Q1248784) and whose location (wdt:P131) is New York state (wd:Q1384) or located in an administrative entity that is within New York state (i.e., the P131 chain leads up to New York state). To capture airports in New York City specifically, include those with P131 pointing to New York City (wd:Q60). I'll include labels for readability but put them in OPTIONAL. I will test a query that finds airports whose P131 is New York state or New York City.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| airport                                       | airportLabel                         | location            | locationLabel |
| --------------------------------------------- | ------------------------------------ | ------------------- | ------------- |
| East Hampton Airport (wd:Q5328540)            | East Hampton Airport (en)            | New York (wd:Q1384) | New York (en) |
| Great Valley Airport (wd:Q3913400)            | Great Valley Airport (en)            | New York (wd:Q1384) | New York (en) |
| Elmira Corning Regional Airport (wd:Q4242688) | Elmira Corning Regional Airport (en) | New York (wd:Q1384) | New York (en) |
| Adirondack Regional Airport (wd:Q4682995)     | Adirondack Regional Airport (en)     | New York (wd:Q1384) | New York (en) |
| Akron Airport (wd:Q4701668)                   | Akron Airport (en)                   | New York (wd:Q1384) | New York (en) |
| ...                                           | ...                                  | ...                 | ...           |
| Southampton Heliport (wd:Q10860234)           | Southampton Heliport (en)            | New York (wd:Q1384) | New York (en) |
| Grumman Bethpage Airport (wd:Q126900247)      | Grumman Bethpage Airport (en)        | New York (wd:Q1384) | New York (en) |
| Canajoharie Airport (wd:Q34957286)            | Canajoharie Airport (en)             | New York (wd:Q1384) | New York (en) |
| Argyle Airport (New York) (wd:Q14706160)      | Argyle Airport (New York) (en)       | New York (wd:Q1384) | New York (en) |
| Becks Grove Airport (wd:Q14706175)            | Becks Grove Airport (en)             | New York (wd:Q1384) | New York (en) |

[Assistant] I'll run a query to list airports whose administrative entity is New York City (wd:Q60) to capture major NYC airports.

[Tool] Got no rows and 2 columns

[Tool]
Top 10 entity alternatives:
1. John F. Kennedy International Airport (wd:Q8685), also known as Idlewild Airport, Idlewild International Airport, JFK, JFK Airport, JFK International Airport, etc.: international airport in New York, United States / international airport in New York, United States / international airport in New York, United States / is instance of commercial traffic aerodrome / is instance of international airport
2. Protests against Executive Order 13769 (wd:Q28547752, matched via 2017 John F. Kennedy International Airport protest), also known as 2017 John F. Kennedy International Airport protest: protest in the United States / is instance of protest
3. John F. Kennedy International Airport Terminal 8 (wd:Q128561890): is instance of airport terminal
4. 2007 John F. Kennedy International Airport attack plot (wd:Q4608705): is instance of occurrence / Foiled terrorist plot / is instance of event
5. Eclectic and Futuristic: John F. Kennedy International Airport (wd:Q128643584): is instance of scholarly article / is instance of academic article / scholarly article
6. John F. Kennedy Memorial Airport (wd:Q2900611), also known as ASX, KASX: airport in Ashland, Wisconsin, United States of America / is instance of airport
7. Our Lady of the Skies Chapel at John F. Kennedy International Airport (wd:Q17051623): is instance of chapel / Catholic chapel
8. PRESIDENT JOHN F. KENNEDY AT INTERNATIONAL MONETARY (NAID 123360) (wd:Q67614914): item in the National Archives and Records Administration's holdings / is instance of item of collection or exhibition
9. PRESIDENT JOHN F. KENNEDY COMMITTEE ON INTERNATIONAL DEVELOPMENT (NAID 122306) (wd:Q67611479): item in the National Archives and Records Administration's holdings / is instance of item of collection or exhibition
10. John F. Kennedy (wd:Q9696), also known as Jack Kennedy, JFK, J. F. Kennedy, JF Kennedy, John Fitzgerald "Jack" Kennedy, etc.: President of the United States from 1961 to 1963 / 35th President of the United States of America / 35th President of the United States of America / 35th President of the United States of America / has occupation anti-communist / has occupation naval officer / has occupation statesperson / has occupation politician / has occupation journalist / has occupation writer / is instance of human

[Assistant]
The previous P131 = Q60 returned no airports because many airports in NYC are located in boroughs (e.g., Queens) or have location set to the airport authority or the borough, not directly to the city. Better approach: find airports that are located in any administrative territorial entity that is located in New York state (P131 chain) — i.e., airports where ?location wdt:P131* wd:Q1384. I'll construct a query using a property path: ?airport wdt:P31 wd:Q1248784 ; wdt:P131 ?loc . ?loc wdt:P131* wd:Q1384 . That should return airports within New York State, including those in NYC boroughs.

I'll craft the final query to return airport IRIs and their English labels. Then I'll execute it.

[Tool]
Got 200 rows and 2 columns, showing the first 5 and last 5 rows below:
| airport                                           | airportLabel                            |
| ------------------------------------------------- | --------------------------------------- |
| Adirondack Airpark Estates Airport (wd:Q34954519) | Adirondack Airpark Estates Airport (en) |
| Adirondack Regional Airport (wd:Q4682995)         | Adirondack Regional Airport (en)        |
| Ag-Alley Airport (wd:Q34954530)                   | Ag-Alley Airport (en)                   |
| Airhaven Airport (wd:Q34954541)                   | Airhaven Airport (en)                   |
| Airlane Enterprises Airport (wd:Q34954552)        | Airlane Enterprises Airport (en)        |
| ...                                               | ...                                     |
| Lakeville Airport (wd:Q35273034)                  | Lakeville Airport (en)                  |
| Lapeer Flyer Airport (wd:Q34960662)               | Lapeer Flyer Airport (en)               |
| Laska Airport (wd:Q34960699)                      | Laska Airport (en)                      |
| Ledgedale Airpark (wd:Q10858095)                  | Ledgedale Airpark (en)                  |
| Le Roy Airport (wd:Q6507614)                      | Le Roy Airport (en)                     |

[Assistant]
The query returned many airports within New York state. The user likely expected a small set (e.g., major airports like JFK, LaGuardia, Newark). Newark is in New Jersey (not NY). But JFK and LaGuardia and Newark are commonly considered NYC area. If the user meant "the airport in New York", they might mean the main airport: John F. Kennedy International Airport (JFK). Because the question is ambiguous, I should ask a clarification. But the instructions require building and returning a SPARQL query and final answer. I'll explain assumptions: return major airports serving New York City — JFK (Q8685), LaGuardia (Q7406), and Newark Liberty (Q210876) though Newark is in NJ (Q35) but serves NYC. Maybe better to ask the user whether they mean New York City or state. However the developer rules required explaining thought process before and after each step and function call. I have been doing that.

Now I need to provide final SPARQL query and answer via functions.answer. The answer must include the final SPARQL query executed. Also must ensure the query returns IRIs. My last executed query returned many items. I should present that query as final, but maybe refine to return the labels and the airport IRI, and possibly filter to notable airports by instance of "international airport" (wd:Q1248784 is airport; "international airport" is wd:Q1248786? Let's search.

[Tool]
Top 10 entity alternatives:
1. international airport (wd:Q644371): airport serving international destinations / airport serving international destinations / airport serving international destinations / is subclass of airport
2. International Airport (wd:Q55614529): 1985 film directed by Don Chaffey / is instance of film
3. Domodedovo International Airport (wd:Q186614), also known as DME, Domodedovo Airport, Moscow Airport, Moscow Domodedovo Airport, Moscow-Domodedovo Airport, etc.: international airport serving Moscow, Russia / is instance of commercial traffic aerodrome / is instance of international airport / is instance of federal aeroport / airport in Russia / airport in Russia
4. John F. Kennedy International Airport (wd:Q8685, matched via Idlewild International Airport), also known as Idlewild Airport, Idlewild International Airport, JFK, JFK Airport, JFK International Airport, etc.: international airport in New York, United States / international airport in New York, United States / international airport in New York, United States / is instance of commercial traffic aerodrome / is instance of international airport
5. Sheremetyevo International Airport (wd:Q192733), also known as Moscow Airport, Moscow International Airport, Sheremetyevo Airport, SVO, UUEE: international airport serving Moscow, Russia / is instance of commercial traffic aerodrome / is instance of international airport / is instance of federal aeroport / is instance of airport
6. Istanbul-Atatürk (wd:Q86473, matched via Atatürk International Airport), also known as Atatürk International Airport, ISL, İstanbul Atatürk, Istanbul Ataturk Airport, Istanbul Atatürk Airport, etc.: is instance of commercial traffic aerodrome / international airport in Istanbul, Turkey / is instance of international airport
7. Singapore Changi Airport (wd:Q32159, matched via Changi International Airport), also known as Changi Airport, Changi Airport Singapore, Changi International Airport, SIN, WSSS: is instance of commercial traffic aerodrome / is instance of international airport / international airport in Singapore / international airport in Singapore / main airport in Singapore / main airport in Singapore / is instance of airport
8. Dubai International Airport (wd:Q193439), also known as DXB, OMDB: international airport in Dubai, United Arab Emirates / is instance of commercial traffic aerodrome / is instance of international airport / airport in United Arab Emirates / airport in United Arab Emirates
9. Tokyo International Airport (wd:Q204853), also known as Haneda Airport, HND, RJTT: is instance of commercial traffic aerodrome / international airport serving Tokyo, Japan / is instance of international airport / is instance of airport
10. O'Hare International Airport (wd:Q213717), also known as Chicago Airport, Chicago International Airport, Chicago O'Hare Field, Chicago O'Hare International Airport, Chicago Orchard Airport, etc.: is instance of commercial traffic aerodrome / airport in Chicago, Illinois, United States / is instance of international airport / airport in Chicago, IL, US / airport in Chicago, IL, US / is instance of airport

[Assistant] I'll refine the query to return airports that are instances of "international airport" or airports located in New York State. But the user didn't specify international. To keep it simple, I'll return the list of airports in New York State (the previous query), sorted and limited to, say, top 50. The query already returned IRIs and labels. The instructions require executing final query before giving answer — we've executed it. Now produce final answer. I must call functions.answer with the SPARQL query and the answer string based on the results. The answer should summarize: multiple airports found; give examples like John F. Kennedy International Airport (wd:Q8685), LaGuardia Airport (wd:Q7406), Newark Liberty International Airport (wd:Q210876) — but Newark is in NJ; be careful not to compute outside SPARQL. But we've already run SPARQL queries; but the rule: "Do not perform additional computation on the result of the SPARQL query to determine the answer; all computation should be done solely within SPARQL." However, we can state findings derived from queries we've run. We executed a query that returned many airports; it included JFK likely. Did the query results include JFK? Let's check: search through results? The returned 200 rows, but output truncated. I can run a specific query to check JFK and LaGuardia membership in New York state path. For JFK (wd:Q8685), check P131 chain to Q1384.

[Tool] True

[Assistant] Check LaGuardia (wd:Q7406).

[Tool] False

[Tool]
Got 194 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                         | object                              |
| ------------------------- | -------------------------------- | ----------------------------------- |
| Kamala Sohonie (wd:Q7406) | instance of (wdt:P31)            | human (wd:Q5)                       |
| Kamala Sohonie (wd:Q7406) | occupation (wdt:P106)            | researcher (wd:Q1650915)            |
| Kamala Sohonie (wd:Q7406) | sex or gender (wdt:P21)          | female (wd:Q6581072)                |
| Kamala Sohonie (wd:Q7406) | given name (wdt:P735)            | Kamala (wd:Q20898922)               |
| Kamala Sohonie (wd:Q7406) | date of birth (wdt:P569)         | 1911-06-18T00:00:00Z (xsd:dateTime) |
| Kamala Sohonie (wd:Q7406) | country of citizenship (wdt:P27) | India (wd:Q668)                     |
| Kamala Sohonie (wd:Q7406) | Freebase ID (wdt:P646)           | /m/0n8_4_2                          |
| Kamala Sohonie (wd:Q7406) | place of birth (wdt:P19)         | Indore (wd:Q66616)                  |
| Kamala Sohonie (wd:Q7406) | date of death (wdt:P570)         | 1998-06-28T00:00:00Z (xsd:dateTime) |
| Kamala Sohonie (wd:Q7406) | educated at (wdt:P69)            | University of Cambridge (wd:Q35794) |
| ...                       | ...                              | ...                                 |

[Tool]
Top 10 entity alternatives:
1. LaGuardia Airport (wd:Q319654), also known as KLGA, LaGuardia, La Guardia Airport, LGA: is instance of commercial traffic aerodrome / airport in northern New York City, NY, US / airport in northern New York City, NY, US / is instance of international airport / airport in Queens, New York City / is instance of airport
2. 1975 LaGuardia Airport bombing (wd:Q13511605): is instance of explosion / is instance of Explosion / 1975 terrorist attack
3. LaGuardia Airport subway extension (wd:Q117455703): proposed New York City Subway extension / is instance of railway line
4. airport (wd:Q1248784), also known as aerodrome, air port, airports: location where aircraft take off and land with extended support facilities, mostly for commercial air transport / location where aircraft take off and land / location where aircraft take off and land / is subclass of organisation / is subclass of organization / is subclass of aerodrome / is subclass of Aerodrome / is subclass of station
5. Heathrow Airport (wd:Q8691), also known as EGLL, Heathrow, LHR, London Heathrow, London Heathrow Airport, etc.: main airport serving London, England, United Kingdom / is instance of commercial traffic aerodrome / is instance of international airport / is instance of organization / is instance of organisation
6. Amsterdam Airport Schiphol (wd:Q9694, matched via Amsterdam Airport), also known as AMS, Amsterdam Airport, Amsterdam-Schiphol, EHAM, Schiphol, etc.: is instance of cadastral populated place in the Netherlands / is instance of commercial traffic aerodrome / airport in Haarlemmermeer, Netherlands / is instance of international airport / airport in the Netherlands / airport in the Netherlands
7. Paris-Charles de Gaulle Airport (wd:Q46280, matched via Roissy Airport), also known as CDG, Charles de Gaulle Airport, LFPG, Paris CDG Airport, PARIS-CHARLES DE GAULLE, etc.: is instance of commercial traffic aerodrome / international airport serving Paris, France / is instance of international airport / airport in Paris, France / airport in Paris, France
8. Frankfurt Airport (wd:Q46033), also known as EDDF, FRA, Frankfurt am Main Airport, Rhein-Main Airport: biggest airport of Germany, located in Frankfurt, Hesse / is instance of international airport / is instance of commercial airport
9. Domodedovo International Airport (wd:Q186614, matched via Domodedovo Airport), also known as DME, Domodedovo Airport, Moscow Airport, Moscow Domodedovo Airport, Moscow-Domodedovo Airport, etc.: international airport serving Moscow, Russia / is instance of commercial traffic aerodrome / is instance of international airport / is instance of federal aeroport / airport in Russia / airport in Russia
10. John F. Kennedy International Airport (wd:Q8685, matched via Idlewild Airport), also known as Idlewild Airport, Idlewild International Airport, JFK, JFK Airport, JFK International Airport, etc.: international airport in New York, United States / international airport in New York, United States / international airport in New York, United States / is instance of commercial traffic aerodrome / is instance of international airport

[Tool] True

[Assistant] I will return a SPARQL query that lists airport items (their IRIs and English labels) that are located in New York State (wd:Q1384). I am assuming "New York" refers to the U.S. state; if you meant New York City instead, tell me and I will adjust the query. The query finds items that are instances of airport (wd:Q1248784) and whose administrative location (P131) is in a chain of administrative entities that ends in New York State (using the property path P131*). Now I'll provide the final query and a short answer with examples observed in the query results (e.g., John F. Kennedy International Airport and LaGuardia Airport). Then I'll finalize.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?school ?schoolLabel WHERE {
  wd:Q40224 wdt:P69 ?school .
  OPTIONAL {
    ?school rdfs:label ?schoolLabel .
    FILTER ( LANG( ?schoolLabel ) = "en" )
  }
}

Using entities:
Carl Benz (wd:Q40224), also known as Carl Friedrich Benz, Karl Benz, Karl Friedrich Benz, Karl Friedrich Michael Vaillant

Using properties:
educated at (wd:P69 as wdt), also known as alma mater, alumna of, alumni of, alumnus of, attended, etc.

Answer: Karl (Carl) Benz was educated at the University of Karlsruhe (Wikidata: wd:Q29426438).

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

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

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

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

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

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

[User] what school did karl benz go to?

[Assistant] I will first find the Wikidata item for Karl Benz, then look for properties that indicate his education (school attended). I'll search for the entity "Karl Benz".

[Tool]
Top 10 entity alternatives:
1. Carl Benz (wd:Q40224, matched via Karl Benz), also known as Carl Friedrich Benz, Karl Benz, Karl Friedrich Benz, Karl Friedrich Michael Vaillant: automotive and engine designer and manufacturer (1844–1929) / German engine designer and car engineer / German engine designer and car engineer / has occupation engineer / has occupation inventor / is instance of human
2. Willibrord Benzler (wd:Q91025, matched via Karl Benzler), also known as Karl Benzler, Karl Heinrich Johann Eugen Benzler: has occupation Catholic priest / has occupation catholic bishop / has occupation Catholic bishop / bishop of Metz (1853–1921) / is instance of human
3. Károly Benza (wd:Q20667635, matched via Karl Benza), also known as Karl Benza: Hungarian actor, singer and director / has occupation overseer / has occupation director / has occupation singer / has occupation actor / is instance of human
4. Karl Benz (Landrat) (wd:Q104163395): has occupation Jurist / has occupation jurist / is instance of human
5. Karl Benzon (wd:Q17370389): has occupation translator / has occupation journalist / is instance of human / Swedish journalist / Swedish journalist / Swedish journalist
6. Karl Benziger (wd:Q1730468): Swiss politician and publisher (1799-1873) / has occupation politician / has occupation publisher / is instance of human
7. Karl Josef Benz (wd:Q51682510): has occupation liturgist / is instance of human
8. Karl Benzel (wd:Q60835293): has occupation robber / is instance of human / (1778-1802)
9. Karl Benzino (wd:Q94858455): has occupation politician / has occupation Jurist / has occupation jurist / has occupation judge / is instance of human / judge
10. Carl Jesper Benzelius (wd:Q5040378, matched via Karl Jesper Benzelius), also known as Karl Jesper Benzelius: has occupation priest / has occupation Priest / is instance of human / Swedish bishop

[Assistant] I'll list the "educated at" (P69) statements for the Wikidata item I found for Carl/Karl Benz (wd:Q40224) to see which schools are recorded.

[Tool]
Got 1 row and 3 columns:
| subject               | property              | object                                 |
| --------------------- | --------------------- | -------------------------------------- |
| Carl Benz (wd:Q40224) | educated at (wdt:P69) | University of Karlsruhe (wd:Q29426438) |

[Assistant] I'll run a final SPARQL query that retrieves the schools (wdt:P69) for Carl/Karl Benz (wd:Q40224), returning the school IRIs and their English labels if available.

[Tool]
Got 1 row and 2 columns:
| school                                 | schoolLabel                  |
| -------------------------------------- | ---------------------------- |
| University of Karlsruhe (wd:Q29426438) | University of Karlsruhe (en) |

[Assistant] Now I'll provide the result and explain the steps.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?genre ?genreLabel ?movement ?movementLabel WHERE {
  OPTIONAL {
    wd:Q4700 wdt:P136 ?genre .
    OPTIONAL {
      ?genre rdfs:label ?genreLabel FILTER ( LANG( ?genreLabel ) = "en" )
    }
  }
  OPTIONAL {
    wd:Q4700 wdt:P135 ?movement .
    OPTIONAL {
      ?movement rdfs:label ?movementLabel FILTER ( LANG( ?movementLabel ) = "en" )
    }
  }
}

Using entities:
Claude Debussy (wd:Q4700), also known as Achille-Claude, Achille Claude Debussy, Achille-Claude Debussy, A. Cl. Debussy, C. Debussy, etc.

Using properties:
movement (wd:P135 as wdt), also known as artistic movement, artistic school, art movement, literary movement, music scene, etc.
genre (wd:P136 as wdt), also known as artistic genre, art style, film genre, genre of literature, genre of music, etc.

Got 6 rows and 4 columns:
| genre                               | genreLabel               | movement                           | movementLabel              |
| ----------------------------------- | ------------------------ | ---------------------------------- | -------------------------- |
| impressionist music (wd:Q105697765) | impressionist music (en) | Symbolism (wd:Q164800)             | Symbolism (en)             |
| impressionist music (wd:Q105697765) | impressionist music (en) | expresionism in music (wd:Q837182) | expresionism in music (en) |
| opera (wd:Q1344)                    | opera (en)               | Symbolism (wd:Q164800)             | Symbolism (en)             |
| opera (wd:Q1344)                    | opera (en)               | expresionism in music (wd:Q837182) | expresionism in music (en) |
| classical music (wd:Q9730)          | classical music (en)     | Symbolism (wd:Q164800)             | Symbolism (en)             |
| classical music (wd:Q9730)          | classical music (en)     | expresionism in music (wd:Q837182) | expresionism in music (en) |

Answer: I queried Wikidata for Claude Debussy's musical genres and movements. Results show genres: classical music (wd:Q9730), impressionist music (wd:Q105697765), and opera (wd:Q1344); movements: Symbolism (wd:Q164800) and expresionism in music (wd:Q837182). In short: Claude Debussy was a composer of classical music, often associated with Impressionist music (and related movements such as Symbolism).

what type of music did claude debussy play?

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

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

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

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

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

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

[User] what type of music did claude debussy play?

[Assistant] Step 1: I'll search for the Wikidata entity for "Claude Debussy" to get the correct Q-id and verify labels and statements. I'll call the entity search tool next.

[Tool]
Top 10 entity alternatives:
1. Claude Debussy (wd:Q4700), also known as Achille-Claude, Achille Claude Debussy, Achille-Claude Debussy, A. Cl. Debussy, C. Debussy, etc.: French classical composer (1862–1918) / has occupation music critic / has occupation composer / has occupation pianist / is instance of human / French composer / French composer
2. Claude Debussy (wd:Q17491085): painting by Marcel Baschet / painting by Marcel Baschet / is instance of painting
3. Musée Claude-Debussy (wd:Q19387976, matched via Claude Debussy Museum), also known as Claude Debussy Museum, Maison Claude Debussy: is instance of birth house / is instance of museum / is instance of house / museum in France
4. rue Claude Debussy (wd:Q111250837): street in La Queue-en-Brie, France / is instance of street / street / street
5. rue Claude Debussy (wd:Q111250537): street in Noiseau, France / is instance of street / street / street
6. avenue Claude Debussy (wd:Q110806756): avenue in Clichy-la-Garenne, France / is instance of avenue
7. avenue Claude Debussy (wd:Q114858818): avenue in Colombes, France / is instance of avenue
8. avenue Claude Debussy (wd:Q114842408): avenue in Gennevilliers, France / is instance of avenue
9. rue Claude Debussy (wd:Q114842120): street in Villeneuve-la-Garenne, France / is instance of street
10. allée Claude Debussy (wd:Q121600379): alley of Châtillon, in Hauts-de-Seine / is instance of avenue / is instance of Avenue

[Assistant] I'll look for properties of the Claude Debussy entity that indicate the musical genre or movement (e.g., "genre" P136, "movement" P135, "occupation" P106). I'll search for relevant properties for wd:Q4700.

[Tool]
Top 10 property alternatives:
1. genre (wd:P136 as p/wdt), also known as artistic genre, art style, film genre, genre of literature, genre of music, etc.: creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic / genre of a creative work or genre in which an artist works
2. instrument (wd:P1303 as p/wdt, matched via plays), also known as instrument played, instrument(s), instruments, instrument taught, musical instrument, etc.: musical instrument that a person plays or teaches or used in a music occupation / is subproperty of uses
3. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
4. movement (wd:P135 as p/wdt, matched via music scene), also known as artistic movement, artistic school, art movement, literary movement, music scene, etc.: literary, artistic, scientific or philosophical movement or ... with this person or work. For political ideologies use P1142. / literary, artistic or philosophical movement associated with this person or work
5. languages spoken, written or signed (wd:P1412 as p/wdt, matched via language), also known as language, language of expression, language read, language signed, languages of expression, etc.: language(s) that a person or a people speaks, writes or signs, including the native language(s) / language(s) that a person speaks or writes, including the native language(s) / language(s) that a person speaks or writes, including the native language(s)
6. child (wd:P40 as p/wdt, matched via son), also known as children, daughter, daughters, descendants, father of, etc.: subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039) / subject has the object in their family as their offspring son or daughter (independently of their age) / subject has object as biological, foster, and/or adoptive child / is subproperty of significant person / is subproperty of relative
7. instance of (wd:P31 as p/wdt, matched via type), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
8. country of citizenship (wd:P27 as p/wdt, matched via nation), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.: the object is a country that recognizes the subject as its citizen / the object is a country that recognizes the subject as its citizen / is subproperty of country
9. sex or gender (wd:P21 as p/wdt, matched via gender), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.: sexual identity of subject: male (Q6581097), female ... (Q43445). Groups of same gender use "subclass of" (P279) / sex or gender identity: male (Q6581097), female (Q6581072), ... (Q43445). Groups of same gender use subclass of (P279) / sex or gender identity of human or animal. For human: male, ... female organism. Groups of same gender use subclass of (P279)
10. All the Tropes article ID (wd:P8895 as p/wdt, matched via ATT), also known as All the Tropes identifier, allthetropes.org, ATT, TVTropes fork, P8895: is subproperty of Miraheze article ID / identifier in All the Tropes

No other items found

[Assistant] I'll check the actual properties on the Claude Debussy item, especially P136 (genre), P135 (movement), and P106 (occupation). I'll list triples for wd:Q4700.

[Tool]
Got 1,381 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                         | object                                                                                |
| ------------------------- | -------------------------------- | ------------------------------------------------------------------------------------------------ |
| Claude Debussy (wd:Q4700) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Claude Debussy (wd:Q4700) | occupation (wdt:P106)            | composer (wd:Q36834)                                                                             |
| Claude Debussy (wd:Q4700) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                               |
| Claude Debussy (wd:Q4700) | given name (wdt:P735)            | Claude (wd:Q17523984)                                                                            |
| Claude Debussy (wd:Q4700) | date of birth (wdt:P569)         | 1862-08-22T00:00:00Z (xsd:dateTime)                                                              |
| Claude Debussy (wd:Q4700) | Commons category (wdt:P373)      | Claude Debussy                                                                                |
| Claude Debussy (wd:Q4700) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Claude%20Debussy%20by%20Atelier%20Nadar.jpg> |
| Claude Debussy (wd:Q4700) | family name (wdt:P734)           | Debussy (wd:Q105973989)                                                                          |
| Claude Debussy (wd:Q4700) | country of citizenship (wdt:P27) | France (wd:Q142)                                                                                |
| Claude Debussy (wd:Q4700) | Freebase ID (wdt:P646)           | /m/01vvy                                                                                |
| ...                       | ...                              | ...                                                                                |

[Assistant] I'll run a SPARQL query to get Claude Debussy's genre (wdt:P136) and artistic movement (wdt:P135), returning the item IRIs and their English labels. I'll execute the query now.

[Tool]
Got 6 rows and 4 columns:
| genre                               | genreLabel               | movement                           | movementLabel              |
| ----------------------------------- | ------------------------ | ---------------------------------- | -------------------------- |
| impressionist music (wd:Q105697765) | impressionist music (en) | Symbolism (wd:Q164800)             | Symbolism (en)             |
| impressionist music (wd:Q105697765) | impressionist music (en) | expresionism in music (wd:Q837182) | expresionism in music (en) |
| opera (wd:Q1344)                    | opera (en)               | Symbolism (wd:Q164800)             | Symbolism (en)             |
| opera (wd:Q1344)                    | opera (en)               | expresionism in music (wd:Q837182) | expresionism in music (en) |
| classical music (wd:Q9730)          | classical music (en)     | Symbolism (wd:Q164800)             | Symbolism (en)             |
| classical music (wd:Q9730)          | classical music (en)     | expresionism in music (wd:Q837182) | expresionism in music (en) |

[Assistant] I'll run a final SPARQL query that returns the genres (wdt:P136) and artistic movements (wdt:P135) associated with Claude Debussy (wd:Q4700), including the item IRIs and English labels. This will confirm the exact types of music linked to him in Wikidata. I will now execute that query.

[Tool] Stopping


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

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

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

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

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

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

[User] what are the supreme court cases?

[Assistant]
I’m missing important details to answer precisely. Thought process before asking: “Supreme Court” can mean different national courts (U.S., U.K., India, etc.), and there are thousands of cases; a SPARQL query needs a clear scope (which court, what time range, or filters such as “landmark” or “recent”). Also I must know what output you want (full list of case items/IRIs, with labels, with decision dates, limited to N results, etc.).

Quick questions so I build the right SPARQL query:
- Which Supreme Court do you mean? (e.g., United States Supreme Court, Supreme Court of the United Kingdom, Supreme Court of India, another country)
- Do you want all cases ever heard by that court, only decided cases, only landmark/important cases, or cases from a specific time period?
- How many results do you want (e.g., top 50, all)?
- Do you want item identifiers/IRIs only, or labels and extra info (decision date, parties, docket number)?

Tell me those and I’ll explain the exact SPARQL plan and then build and run the query.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?currency ?currencyLabel ?isoCode WHERE {
  wd:Q244 wdt:P38 ?currency .
  OPTIONAL {
    ?currency wdt:P498 ?isoCode .
  }
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel .
    FILTER ( LANG( ?currencyLabel ) = "en" )
  }
}

Using entities:
Barbados (wd:Q244), also known as 🇧🇧, BAR, Barbadoes, bb, BB

Using properties:
currency (wd:P38 as wdt), also known as base currency, used money, P38
ISO 4217 code (wd:P498 as wdt), also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code, P498

Answer: The currency of Barbados is the Barbadian dollar (ISO code: BBD).

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

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

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

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

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

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

[User] what currency to take to barbados?

[Assistant] Step 1 — identify the entity: I'll search Wikidata for the entity matching "Barbados" to get its Q-id. I'll call the entity search function now.

[Tool]
Top 10 entity alternatives:
1. Barbados (wd:Q244), also known as 🇧🇧, BAR, Barbadoes, bb, BB: is instance of sovereign state / island nation in the Caribbean / island nation in the Caribbean / country in the Caribbean / country in the Caribbean
2. Barbados (wd:Q807306): is instance of musical group / Swedish dansband
3. Barbados (wd:Q4858586): is instance of musical work/composition / musical composition by Charlie Parker
4. Barbados (wd:Q4858589): single by Typically Tropical / is instance of single / is instance of song
5. Barbados (wd:Q10426260): 1995 studio album by Barbados / is instance of album
6. Barbados (wd:Q2649101): is instance of plantation / is instance of Plantation / plantation in Surinam
7. Barbados (wd:Q16950300): is instance of musical work/composition / song
8. Barbados (wd:Q28554139): is instance of painting / painting by Fred Wilson / painting by Fred Wilson
9. Barbados (wd:Q30151210), also known as Barbados Island, Island of Barbados: main island of Barbados / is instance of island
10. Barbados (wd:Q59508554): painting by J. E. H. MacDonald / painting by J.E.H. MacDonald / is instance of painting

[Assistant] Next, I will search for the property that indicates the currency of a country on Wikidata (likely labeled "currency"). I'll call the property search function.

[Tool]
Top 10 property alternatives:
1. currency (wd:P38 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as base currency, used money, P38: is subproperty of uses / currency used by item / currency used by item / currency used by item
2. price (wd:P2284 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via exchange rate), also known as cost, exchange rate, list price, MSRP, published price, etc.: published price listed or paid for a product (use with unit of currency)
3. prize money (wd:P2121 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via money), also known as money, purse, value, P2121: amount in a specific currency / amount in a specific currency
4. ISO 4217 code (wd:P498 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via currency code), also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code, P498: identifier for a currency per ISO 4217
5. capital of (wd:P1376 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via capital), also known as administrative seat of, capital, county seat for, county seat of, is capital of, etc.: country, state, department, canton or other administrative division of which the municipality is the governmental seat / country, state, department, canton or other administrative division of which the municipality is the governmental seat / country, state, department, canton or other administrative division of which the municipality is the governmental seat / is subproperty of located in the administrative territorial entity
6. capital (wd:P36 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as administrative capital, administrative center, administrative centre, administrative headquarters, administrative seat, etc.: location (city, municipality) of governmental seat of the country, or administrative territorial entity / seat of government of a country, province, state or other type of administrative territorial entity / city of governmental seat of the country, state or administrative subdivision
7. currency symbol description (wd:P489 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as P489: item with description of currency symbol / is subproperty of notation
8. face value (wd:P3934 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via coin value), also known as coin value, numeric value of coin, value of coin, P3934: value printed on a coin, stamp or banknote by the issuing authority
9. quantity (wd:P1114 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via amount), also known as amount, copies, count, instances, multiplicity, etc.: number of instances of this subject in the universe of the ... number of instances in Wikidata may be lower or higher) / number of instances of this subject
10. field of work (wd:P101 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via trade), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in

[Assistant] I'll run a SPARQL query to get the currency (property P38) used by Barbados (wd:Q244). The query will return the currency item IRI, its English label, and its ISO 4217 code (property P498) if available. Now I will execute that query.

[Tool]
Got 1 row and 3 columns:
| currency                      | currencyLabel         | isoCode |
| ----------------------------- | --------------------- | ------- |
| Barbadian dollar (wd:Q194351) | Barbadian dollar (en) | BBD     |

[Assistant] I'll now provide the final SPARQL query and the concise answer. I'm including the SPARQL I executed (which returns the currency item IRI for Barbados) and the result.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?team ?teamLabel ?inception WHERE {
  BIND( wd:Q650840 AS ?team ) .
  ?team wdt:P571 ?inception .
  OPTIONAL {
    ?team rdfs:label ?teamLabel .
    FILTER ( LANG( ?teamLabel ) = "en" )
  }
}

Using entities:
Philadelphia Phillies (wd:Q650840), also known as Philadelphia Quakers, Phillies, Phils, Quakers

Using properties:
inception (wd:P571 as wdt), also known as broke ground, built, commenced on date, commencement date, completed, etc.

Answer: The Philadelphia Phillies began in 1883.

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

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

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

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

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

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

[User] what year did the phillies begin?

[Assistant] I will first locate the Wikidata item for the Philadelphia Phillies to ensure I use the correct identifier. I'll search the knowledge graph for the entity "Philadelphia Phillies".

[Tool]
Top 10 entity alternatives:
1. Philadelphia Phillies (wd:Q650840), also known as Philadelphia Quakers, Phillies, Phils, Quakers: is instance of baseball team / Major League Baseball team
2. Philadelphia Phillies (wd:Q7182765): professional American football team from 1902 / is instance of American football team
3. WikiProject Philadelphia Phillies (wd:Q21830603): Wikimedia subject-area collaboration / is instance of WikiProject
4. history of the Philadelphia Phillies (wd:Q5870209, matched via Philadelphia Phillies history), also known as Philadelphia Phillies history, the Philadelphia Phillies history: is instance of aspect of history / aspect of history
5. 2009 Philadelphia Phillies season (wd:Q3466492): is instance of baseball team season / Major League Baseball season
6. 2018 Philadelphia Phillies season (wd:Q47010509): is instance of baseball team season / Major League Baseball season
7. 2022 Philadelphia Phillies season (wd:Q108179426): is instance of baseball team season / Major League Baseball season
8. 2023 Philadelphia Phillies season (wd:Q115519545): is instance of baseball team season / major League Baseball season
9. 2024 Philadelphia Phillies season (wd:Q123221439): is instance of baseball team season / Major League Baseball season
10. 2021 Philadelphia Phillies season (wd:Q104859453): is instance of baseball team season / major League Baseball season

[Assistant] I'll inspect the Philadelphia Phillies' properties to find the appropriate date property (inception, founding date, or similar). I'll search properties related to "inception" or "founded" for wd:Q650840.

[Tool]
Top 10 property alternatives:
1. inception (wd:P571 as p/wdt), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
2. part of (wd:P361 as p/wdt, matched via in), also known as assembly of, branch of, chain, collateral branch of, component of, etc.: object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670))
3. sport (wd:P641 as p/wdt, matched via plays), also known as play, plays, sport played, sports, P641: sport that the subject participates or participated in or is associated with / sport or discipline in which the entity participates or belongs to
4. home venue (wd:P115 as p/wdt, matched via arena), also known as arena, ballpark, ground, home field, home ground, etc.: home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / is subproperty of location
5. Instagram username (wd:P2003 as p/wdt, matched via urinsta), also known as https://www.instagram.com, IG account, IG profile, igram, IG username, etc.: is subproperty of website username or ID / item's username on Instagram / item's username on Instagram / item's username on Instagram
6. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
7. instance of (wd:P31 as p/wdt, matched via is an), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
8. official website (wd:P856 as p/wdt, matched via homepage (official)), also known as home page, homepage, home page (official), homepage (official), official homepage, etc.: URL of the official page of an item (current or former). ... see the "Hijacked or dead websites" section of the Talk page / is subproperty of URL
9. logo image (wd:P154 as p/wdt, matched via insignia), also known as insignia, logo, logomark, mark, marque, etc.: graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / is subproperty of icon
10. league or competition (wd:P118 as p/wdt, matched via cup), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays

No other items found

[Assistant] I'll query Wikidata for the Philadelphia Phillies (wd:Q650840) to find its inception/founding date property (P571). I'll list triples with wd:Q650840 as subject and P571 as property.

[Tool]
Got 1 row and 3 columns:
| subject                            | property             | object                              |
| ---------------------------------- | -------------------- | ----------------------------------- |
| Philadelphia Phillies (wd:Q650840) | inception (wdt:P571) | 1883-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] I'll run a SPARQL query that retrieves the inception (P571) of the Philadelphia Phillies (wd:Q650840). This will verify the founding date and let me extract the year.

[Tool]
Got 1 row and 3 columns:
| team                               | teamLabel                  | inception                           |
| ---------------------------------- | -------------------------- | ----------------------------------- |
| Philadelphia Phillies (wd:Q650840) | Philadelphia Phillies (en) | 1883-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] I'll provide the final SPARQL query (which retrieves the inception date of the Philadelphia Phillies) and the answer (the year). The query uses wd:Q650840 and property wdt:P571 (inception).

[Tool] Stopping