PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?member ?memberLabel ?adminEntity ?adminEntityLabel ?coords WHERE {
  ?member wdt:P463 wd:Q96376996 .
  OPTIONAL {
    ?member wdt:P131 ?adminEntity .
    OPTIONAL {
      ?adminEntity wdt:P625 ?coords .
    }
    OPTIONAL {
      ?adminEntity rdfs:label ?adminEntityLabel FILTER ( lang( ?adminEntityLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?member rdfs:label ?memberLabel FILTER ( lang( ?memberLabel ) = "en" )
  }
}

The members of the Clubture Network are organizations such as Queer Sport Split, HrW initiative, KLFM, Spirit Rijeka, Udruženje za razvoj kulture "URK", and many others. For each member, if available, the administrative territorial entity (such as Split, Rijeka, Zagreb, Dubrovnik, Korčula) is provided, along with the coordinates of these entities. Some members do not have an administrative entity or coordinates listed.

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

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

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

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

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

[User] Who are the members of the Clubture Network, including the administrative territorial entities they are located in (if available) and the coordinates of these administrative areas (if available)?

[Assistant]
Let's break down the question:

1. We need to identify the entity "Clubture Network".
2. We need to find its members (likely organizations or groups).
3. For each member, we need to find the administrative territorial entity they are located in (if available).
4. For each administrative territorial entity, we need to find its coordinates (if available).

Let's start by searching for the "Clubture Network" entity in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Clubture Network, also known as Clubture.org, Clubture (wd:Q96376996): Croatian network / platform of cultural and art organizations and initiatives
2. computer network, also known as computer communication networks, computer networks, computer network technologies and services, network (wd:Q1301371): network that allows computers to share resources and communicate with each other
3. graph, also known as undirected simple graph, simple undirected graph, points and lines, graphs, graph (network) (wd:Q141488): mathematical structure made of vertices connected in pairs by edges
4. Network, also known as Union Broadcasting System (wd:Q572165): 1976 film by Sidney Lumet
5. business networking, also known as networking, network (wd:Q2360816): forming professional relationships between people, businesses, or groups
6. Slovak Conservative Party, also known as #NETWORK, NETWORK, Sieť, #SIEŤ, SIEŤ (wd:Q17115560): political party in Slovakia
7. The Network, also known as Network (wd:Q1187591): new wave side project of rock band Green Day
8. Benn Jordan, also known as Lucid16, FlexE., Human Action, Human Action Network, The Flashbulb (wd:Q3121935): American musician, musician, composer
9. network (wd:Q1900326): system of objects that are connected together to exchange something (e.g. objects, materials or information)
10. filet lace, also known as filet brodé, filet guipure, knotted netting, lacis, network (wd:Q1412659): type of embroidered lace made using darning or running stitches on a hand-knotted net ground

[Assistant]
The correct entity for "Clubture Network" is wd:Q96376996, which is described as a Croatian network/platform of cultural and art organizations and initiatives.

Next, we need to find the members of this network. Let's search for properties related to "member" or "has part" for this entity.

[Tool]
Top 10 property alternatives:
1. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
6. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as wdt/p): founder or co-founder of this organization, religion, place or entity, creator
7. Instagram username, also known as IG username, www.instagram.com, urinsta, ufinsta, Insta ID (wd:P2003 as wdt/p): item's username on Instagram, website username or ID
8. funder, also known as benefactor, sponsored by, sponsor, has funder, has donor (wd:P8324 as wdt/p): entity that gives money to a person, organization, or project for a specific purpose, sponsor
9. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as wdt/p): primary topic of a work (see also P180: depicts), depicts
10. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon

No other items found

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as wdt/p): primary topic of a work (see also P180: depicts), depicts
3. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
5. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, location of creation
6. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. funder, also known as benefactor, sponsored by, sponsor, has funder, has donor (wd:P8324 as wdt/p): entity that gives money to a person, organization, or project for a specific purpose, sponsor
8. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
9. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as wdt/p): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
10. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon

No other items found

[Tool]
Got 118 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                       | object                                      |
| ------------------------------- | ---------------------------------------------- | ------------------------------------------- |
| Clubture Network (wd:Q96376996) | instance of (wdt:P31)                          | non-governmental organization (wd:Q79913)   |
| Clubture Network (wd:Q96376996) | main subject (wdt:P921)                        | culture (wd:Q11042)                         |
| Clubture Network (wd:Q96376996) | country (wdt:P17)                              | Croatia (wd:Q224)                           |
| Clubture Network (wd:Q96376996) | coordinate location (wdt:P625)                 | POINT(15.975538 45.807432) (geo:wktLiteral) |
| Clubture Network (wd:Q96376996) | Commons category (wdt:P373)                    | Clubture                                    |
| Clubture Network (wd:Q96376996) | inception (wdt:P571)                           | 2002-07-16T00:00:00Z (xsd:dateTime)         |
| Clubture Network (wd:Q96376996) | official website (wdt:P856)                    | <http://Clubture.org>                       |
| Clubture Network (wd:Q96376996) | street address (wdt:P6375)                     | Baruna Trenka 11, 10000 Zagreb (hr)         |
| Clubture Network (wd:Q96376996) | on focus list of Wikimedia project (wdt:P5008) | WikiProject CSO networks (wd:Q115120455)    |
| Clubture Network (wd:Q96376996) | member of (wdt:P463)                           | DKC-HR (wd:Q111178235)                      |
| ...                             | ...                                            | ...                                         |

[Tool]
Got 89 rows and 3 columns, showing the first 10 rows below:
| subject                                           | property             | object                          |
| ------------------------------------------------- | -------------------- | ------------------------------- |
| HrW initiative (wd:Q108613387)                    | member of (wdt:P463) | Clubture Network (wd:Q96376996) |
| Queer Sport Split (wd:Q105443300)                 | member of (wdt:P463) | Clubture Network (wd:Q96376996) |
| Multimedia Institute (wd:Q31199529)               | member of (wdt:P463) | Clubture Network (wd:Q96376996) |
| Art Workshop Lazareti (wd:Q4797154)               | member of (wdt:P463) | Clubture Network (wd:Q96376996) |
| KLFM (wd:Q109587828)                              | member of (wdt:P463) | Clubture Network (wd:Q96376996) |
| Udruženje za razvoj kulture "URK" (wd:Q111189446) | member of (wdt:P463) | Clubture Network (wd:Q96376996) |
| Format C Artist Organization (wd:Q111442554)      | member of (wdt:P463) | Clubture Network (wd:Q96376996) |
| Book club Booksa (wd:Q12628126)                   | member of (wdt:P463) | Clubture Network (wd:Q96376996) |
| Zadar snova (wd:Q12645474)                        | member of (wdt:P463) | Clubture Network (wd:Q96376996) |
| queerANarchive (wd:Q96377295)                     | member of (wdt:P463) | Clubture Network (wd:Q96376996) |
| ...                                               | ...                  | ...                             |

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): (list of) direct subdivisions of an administrative territorial entity, has part(s)
3. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
4. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
5. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with
6. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
7. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): seat of government of a country, province, state or other type of administrative territorial entity
8. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
9. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
10. contains the statistical territorial entity, also known as contains statistical territorial entity (wd:P10888 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): (list of) statistical territorial entities which are direct subd...ions of another statistical or administrative territorial entity, has part(s)

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): links coordinate zoological names, different from
3. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): coordinates of the place depicted in the work (or Commons image)
4. location map (wd:P1943 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, image
5. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): genomic starting coordinate of the biological sequence (e.g. a gene)
6. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
7. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the narrative of the work is set in this location, significant place, depicts
8. location of discovery, also known as found in, location of discovered object, place of discovery, site of discovery, source (wd:P189 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): where the item was located when discovered, significant place
9. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): frame of reference used to produce a map
10. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location

[Tool]
Got 109 rows and 5 columns, showing the first 5 and last 5 rows below:
| member                                                                             | memberLabel                                                              | adminEntity          | adminEntityLabel | coords                                      |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ | -------------------- | ---------------- | ------------------------------------------- |
| Queer Sport Split (wd:Q105443300)                                                  | Queer Sport Split (en)                                                   |                      |                  |                                             |
| HrW initiative (wd:Q108613387)                                                     | HrW initiative (en)                                                      |                      |                  |                                             |
| KLFM (wd:Q109587828)                                                               | KLFM (en)                                                                | Split (wd:Q1663)     | Split (en)       | POINT(16.440000 43.510000) (geo:wktLiteral) |
| Spirit Rijeka (wd:Q109621414)                                                      | Spirit Rijeka (en)                                                       | Rijeka (wd:Q1647)    | Rijeka (en)      | POINT(14.433333 45.333333) (geo:wktLiteral) |
| Udruženje za razvoj kulture "URK" (wd:Q111189446)                                  | Udruženje za razvoj kulture "URK" (en)                                   | Zagreb (wd:Q1435)    | Zagreb (en)      | POINT(15.977222 45.813056) (geo:wktLiteral) |
| ...                                                                                | ...                                                                      | ...                  | ...              | ...                                         |
| Art Workshop Lazareti (wd:Q4797154)                                                | Art Workshop Lazareti (en)                                               | Dubrovnik (wd:Q1722) | Dubrovnik (en)   | POINT(18.108333 42.640278) (geo:wktLiteral) |
| Grey) (area space for contemporary and media art (wd:Q65133126)                    | Grey) (area space for contemporary and media art (en)                    | Korčula (wd:Q13289)  | Korčula (en)     | POINT(17.135833 42.961667) (geo:wktLiteral) |
| Association for Development of ‘...t-yourself’ Culture – Makerspace (wd:Q67371330) | Association for Development of ‘...t-yourself’ Culture – Makerspace (en) | Zagreb (wd:Q1435)    | Zagreb (en)      | POINT(15.977222 45.813056) (geo:wktLiteral) |
| queerANarchive (wd:Q96377295)                                                      | queerANarchive (en)                                                      |                      |                  |                                             |
| Drugo more (wd:Q98930373)                                                          | Drugo more (en)                                                          | Rijeka (wd:Q1647)    | Rijeka (en)      | POINT(14.433333 45.333333) (geo:wktLiteral) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?item ?itemLabel WHERE {
  ?item wdt:P279 wd:Q13442814 .
  OPTIONAL {
    ?item rdfs:label ?itemLabel .
    FILTER ( lang( ?itemLabel ) = "en" )
  }
}
ORDER BY ?itemLabel

Got 30 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                     | itemLabel                      |
| ---------------------------------------- | ------------------------------ |
| academic conference paper (wd:Q10885494) | academic conference paper (en) |
| academic journal article (wd:Q18918145)  | academic journal article (en)  |
| Annus Mirabilis papers (wd:Q51497)       | Annus Mirabilis papers (en)    |
| A-publication (wd:Q2774197)              | A-publication (en)             |
| classic article (wd:Q58898396)           | classic article (en)           |
| ...                                      | ...                            |
| sleeping beauty (wd:Q115528532)          | sleeping beauty (en)           |
| survey article (wd:Q60535861)            | survey article (en)            |
| systematic review (wd:Q1504425)          | systematic review (en)         |
| type catalogue (wd:Q121763407)           | type catalogue (en)            |
| working paper (wd:Q1228945)              | working paper (en)             |

This query returns all items that are subclasses of 'scholarly article' (wd:Q13442814), ordered by their English labels. The results include the item IRIs and their labels if available.

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

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

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

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

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

[User] What are the items that are subclasses of scholarly articles, ordered by their labels?

[Assistant]
Let's break down the question:

1. We need to find the entity for "scholarly article".
2. Then, we need to find items that are subclasses (using the "subclass of" property) of this entity.
3. Finally, we need to order the results by their labels.

First, I'll search for the entity "scholarly article" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. scholarly article, also known as scientific papers, scientific paper, scientific article, scholarly paper, scholarly articles (wd:Q13442814): article in an academic publication, usually peer reviewed
2. academic journal article, also known as academic article, academic paper, journal article, scholarly article (wd:Q18918145): article published in an academic journal
3. More rain, more virus, also known as Scholarly article (wd:Q60067355): scientific article published in Nature
4. Nine axes of merit for technosignature searches, also known as scholarly article (wd:Q122939269): scientific article published on 19 November 2019
5. News censorship in online social...rcumvention in the commentsphere, also known as scholarly article (wd:Q116784910): scientific article published on 3 June 2016
6. The importance of peer group ("crowd") affiliation in adolescence, also known as scholarly article (wd:Q126361512)
7. The possibility of converting lipids into carbohydrates in man., also known as scholarly article (wd:Q78576861): scientific article published on 01 June 1954
8. fictional scholarly article, also known as fictional scientific article (wd:Q116527851): scientific article in a work of fiction
9. medical scholarly article, also known as medical journal article (wd:Q82969330): scholarly article in the field of medicine, often published in a medical journal
10. Marc-André Selosse (scholarly article), also known as Marc-André Selosse (wd:Q48058861): scientific article published in January 2015

[Assistant]
The most relevant entity for "scholarly article" is wd:Q13442814.

Next, I need to find items that are subclasses of wd:Q13442814 (using the "subclass of" property), and order them by their labels.

I'll search for the "subclass of" property to confirm its property ID.

[Tool]
Top 10 property alternatives:
1. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
2. is metaclass for, also known as instances are a subclass of, instances are subclasses of, instances are subclass of, is a metaclass for, is a metaclass of (wd:P8225 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all instances of the subject are subclasses of the object
3. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all resources related by this property are also related by that property, related property
4. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): topic of which this item is an aspect; item that offers a broader perspective on the same topic
5. narrower external class, also known as external subclass (wd:P3950 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): more specific subclass included in other ontology but not in Wikidata
6. metasubclass of, also known as metaclass of (wd:P2445 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): relation between two metaclasses: instances of this metaclass ar...subclasses of classes that are instances of the target metaclass
7. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
8. equivalent in higher rank taxon, also known as term in larger group, closest concept in higher taxon, term in higher taxon, term in higher-order taxon, subclass of higher-taxon concept (wd:P10019 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): an equivalent class that is species-neutral or scoped to higher ranking taxa, subclass of
9. equivalent class, also known as schema.org type, same kind of thing, same grouping, same class, external class (wd:P1709 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): equivalent class in other ontologies (use property URI), exact match, URL
10. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): series which contains the subject, part of

[Assistant]
The correct property for "subclass of" is wd:P279.

Now, I will write a SPARQL query to find all items that are subclasses (wdt:P279) of "scholarly article" (wd:Q13442814), and order them by their labels. I will also include the labels as optional for better readability.

Here is the query I will use:

```sparql
SELECT ?item ?itemLabel WHERE {
  ?item wdt:P279 wd:Q13442814.
  OPTIONAL { ?item rdfs:label ?itemLabel. FILTER (lang(?itemLabel) = "en") }
}
ORDER BY ?itemLabel
```

Now, I will provide this as the final answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?airport ?airportLabel ( COUNT( ?runway ) AS ?runwayCount ) WHERE {
  ?airport wdt:P31 wd:Q644371 ; wdt:P529 ?runway .
  OPTIONAL {
    ?airport rdfs:label ?airportLabel FILTER ( LANG( ?airportLabel ) = "en" )
  }
}
GROUP BY ?airport ?airportLabel
HAVING ( COUNT( ?runway ) = 1 )
ORDER BY ?airportLabel

Got 594 rows and 3 columns, showing the first 5 and last 5 rows below:
| airport                                            | airportLabel                                | runwayCount |
| -------------------------------------------------- | ------------------------------------------- | ----------- |
| Abakan International Airport (wd:Q558204)          | Abakan International Airport (en)           | 1 (xsd:int) |
| Abel Santamaría Airport (wd:Q3496664)              | Abel Santamaría Airport (en)                | 1 (xsd:int) |
| Abraham González Airport (wd:Q2233076)             | Abraham González Airport (en)               | 1 (xsd:int) |
| Adana Şakirpaşa Airport (wd:Q1430728)              | Adana Şakirpaşa Airport (en)                | 1 (xsd:int) |
| Addis Ababa Bole International Airport (wd:Q44923) | Addis Ababa Bole International Airport (en) | 1 (xsd:int) |
| ...                                                | ...                                         | ...         |
| Zamboanga International Airport (wd:Q1200033)      | Zamboanga International Airport (en)        | 1 (xsd:int) |
| Zaporizhzhia International Airport (wd:Q1432786)   | Zaporizhzhia International Airport (en)     | 1 (xsd:int) |
| Zenata – Messali El Hadj Airport (wd:Q2875969)     | Zenata – Messali El Hadj Airport (en)       | 1 (xsd:int) |
| Zhukovsky International Airport (wd:Q2388744)      | Zhukovsky International Airport (en)        | 1 (xsd:int) |
| Zvartnots International Airport (wd:Q1124922)      | Zvartnots International Airport (en)        | 1 (xsd:int) |

The international airports that have exactly one runway are those where the airport is an instance of 'international airport' (wd:Q644371) and has exactly one runway (using property wdt:P529). The query returns their IRIs, English labels, and the number of runways, ordered by the airport label.

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

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

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

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

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

[User] Which international airports have exactly one runway? Please provide their labels and the number of runways, and order by the airport label.

[Assistant]
Let's break down the question:

1. We need to find "international airports" (entity type).
2. We need to find the number of runways for each airport, and filter for those with exactly one runway.
3. We need to provide the airport label and the number of runways.
4. The results should be ordered by the airport label.

First, let's search for the entity for "international airport" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. international airport (wd:Q644371): airport serving international destinations
2. International Airport (wd:Q55614529): 1985 film directed by Don Chaffey
3. Domodedovo International Airport, also known as Moscow-Domodedovo Airport, UUDD, Moscow International Airport, Moscow Domodedovo Airport, Moscow Airport (wd:Q186614): international airport serving Moscow, Russia
4. John F. Kennedy International Airport, also known as Kennedy International Airport, New York International Airport, KJFK, JFK International Airport, Kennedy International (wd:Q8685): international airport in New York, United States
5. John F. Kennedy International Airport, also known as Idlewild Airport, Kennedy International, JFK International Airport, KJFK, JFK Airport (wd:Q8685): international airport in New York, United States
6. Sheremetyevo International Airport, also known as Moscow Airport, Moscow International Airport, Sheremetyevo Airport, SVO, UUEE (wd:Q192733): international airport serving Moscow, Russia
7. Istanbul-Atatürk, also known as LTBA, Istanbul Atatürk Airport, Istanbul Ataturk Airport, ISL, Atatürk International Airport (wd:Q86473): international airport in Istanbul, Turkey
8. Dubai International Airport, also known as DXB, OMDB (wd:Q193439): international airport in Dubai, United Arab Emirates
9. Singapore Changi Airport, also known as WSSS, Changi Airport Singapore, SIN, Changi Airport, Changi International Airport (wd:Q32159): international airport in Singapore
10. Tokyo International Airport, also known as Haneda Airport, HND, RJTT (wd:Q204853): international airport serving Tokyo, Japan

[Tool]
Top 10 entity alternatives:
1. runway, also known as RWY, landing strip (wd:Q184590): area of surface used by aircraft to takeoff from and land on
2. runway, also known as fashion runway, catwalk (wd:Q1276155): raised walkway or stage used by models to display clothing and accessories during a fashion show
3. Runway (wd:Q28079452): album by AOA
4. runway, also known as game path, trail (wd:Q225615): beaten path made by animals
5. Runway (wd:Q123367593): American research company
6. Runway (wd:Q12104216): 2010 film by Tareque Masud
7. animal trail, also known as game trail, runway (wd:Q127273500): travel path created and used by animals
8. Runway (wd:Q7380135): 2004 film directed by Joshiy
9. The Runway, also known as Runway (wd:Q16466233): 2010 film directed by Ian Power
10. Runway (wd:Q16097913)

[Tool]
Top 10 property alternatives:
1. runway, also known as RWY (wd:P529 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): name (direction) of runway at airport/airfield/airstrip
2. ICAO airport code, also known as ICAO aerodrome code, ICAO airfield code, International Civil Aviation Organization airport code (wd:P239 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): four-character alphanumeric identifier for designating airports (for airlines, see P230)
3. aerodrome reference point, also known as airfield reference point, airport reference point, ARP (wd:P2786 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): official coordinates for airport. Aeronautical publications use format with degrees, minutes and seconds concatenated, coordinate location
4. number of lanes, also known as number of lanes of that road in a direction, lanes number (wd:P10367 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of lanes on this road in a given direction
5. number of platform tracks, also known as platform tracks, Tracks (wd:P1103 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of tracks served by the platforms at a railway station
6. number of branches, also known as branches, store count, shop count, number of supermakerts, number of shops (wd:P8368 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of branches or stores affiliated with a chain, brand or company
7. image of design plans, also known as plan view image, plan view, plan image, floor plan, design plan (wd:P3311 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): image representing the plan of a building or place, detail map
8. takeoff and landing capability (wd:P1956 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): type of takeoff and landing the aircraft is designed to operate
9. wheelbase, also known as wheelbases (wd:P3039 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): horizontal distance between the centers of the front and rear wheels
10. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the number of parts that a work comprises

[Tool]
Top 10 property alternatives:
1. runway, also known as RWY (wd:P529 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): name (direction) of runway at airport/airfield/airstrip
2. ICAO airport code, also known as ICAO aerodrome code, ICAO airfield code, International Civil Aviation Organization airport code (wd:P239 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): four-character alphanumeric identifier for designating airports (for airlines, see P230)
3. aerodrome reference point, also known as airfield reference point, airport reference point, ARP (wd:P2786 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): official coordinates for airport. Aeronautical publications use format with degrees, minutes and seconds concatenated, coordinate location
4. number of lanes, also known as number of lanes of that road in a direction, lanes number (wd:P10367 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of lanes on this road in a given direction
5. number of platform tracks, also known as platform tracks, Tracks (wd:P1103 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of tracks served by the platforms at a railway station
6. number of branches, also known as branches, store count, shop count, number of supermakerts, number of shops (wd:P8368 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of branches or stores affiliated with a chain, brand or company
7. image of design plans, also known as plan view image, plan view, plan image, floor plan, design plan (wd:P3311 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): image representing the plan of a building or place, detail map
8. takeoff and landing capability (wd:P1956 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): type of takeoff and landing the aircraft is designed to operate
9. wheelbase, also known as wheelbases (wd:P3039 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): horizontal distance between the centers of the front and rear wheels
10. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the number of parts that a work comprises

[Tool]
Top 10 property alternatives:
1. image of design plans, also known as plan view image, plan view, plan image, floor plan, design plan (wd:P3311 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): image representing the plan of a building or place, detail map
2. ICAO airport code, also known as ICAO aerodrome code, ICAO airfield code, International Civil Aviation Organization airport code (wd:P239 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): four-character alphanumeric identifier for designating airports (for airlines, see P230)
3. runway, also known as RWY (wd:P529 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): name (direction) of runway at airport/airfield/airstrip
4. aerodrome reference point, also known as airfield reference point, airport reference point, ARP (wd:P2786 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): official coordinates for airport. Aeronautical publications use format with degrees, minutes and seconds concatenated, coordinate location
5. FAA airport code, also known as FAA LID (wd:P240 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): three-letter or four-letter alphanumeric code identifying United States airports
6. airline hub, also known as hub airport, hub (wd:P113 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): airport that serves as a hub for an airline
7. IATA airport code, also known as International Air Transport Association airport code, uio, IATA station code, IATA location identifier (wd:P238 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): three-letter identifier for designating airports, railway stations or cities (for airlines, see P229)
8. number of platform tracks, also known as platform tracks, Tracks (wd:P1103 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of tracks served by the platforms at a railway station
9. takeoff and landing capability (wd:P1956 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): type of takeoff and landing the aircraft is designed to operate
10. aircraft registration, also known as reg, registration, tail number (wd:P426 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier assigned to an individual aircraft by civil aircraft registry, fleet or registration number

[Tool]
Got 13,527 rows and 3 columns, showing the first 10 rows below:
| subject                                         | property          | object  |
| ----------------------------------------------- | ----------------- | ------- |
| Tan Son Nhat International Airport (wd:Q478595) | runway (wdt:P529) | 07L/25R |
| Da Nang International Airport (wd:Q773330)      | runway (wdt:P529) | 17L/35R |
| Cam Ranh International Airport (wd:Q25226)      | runway (wdt:P529) | 02L/20R |
| Cà Mau Airport (wd:Q900492)                     | runway (wdt:P529) | 9L/27R  |
| Heathrow Airport (wd:Q8691)                     | runway (wdt:P529) | 09L/27R |
| Amsterdam Airport Schiphol (wd:Q9694)           | runway (wdt:P529) | 04/22   |
| Paris-Charles de Gaulle Airport (wd:Q46280)     | runway (wdt:P529) | 08L/26R |
| Frankfurt Airport (wd:Q46033)                   | runway (wdt:P529) | 07C/25C |
| Domodedovo International Airport (wd:Q186614)   | runway (wdt:P529) | 14L/32R |
| Ben Gurion Airport (wd:Q181479)                 | runway (wdt:P529) | 03/21   |
| ...                                             | ...               | ...     |

[Tool]
Top 10 entity alternatives:
1. airport, also known as aerodrome, air port, airports (wd:Q1248784): location where aircraft take off and land with extended support facilities, mostly for commercial air transport
2. Airport (wd:Q409022): 1970 film directed by George Seaton
3. AirPort, also known as Apple AirPort (wd:Q697292): brand of wifi router equipment made by Apple Inc.
4. Airport, also known as Airport, CA, Airport, California (wd:Q4698872): census-designated place in Stanislaus County, California, USA
5. Airport (wd:Q2604087): 1968 novel by Arthur Hailey
6. Kasese Airport, also known as Airport, HUKS, KSE (wd:Q6374123): airport in Uganda
7. Basongo Airport, also known as airport, BAN, FZVR (wd:Q3339360): airport in Democratic Republic of the Congo
8. Bambili-Dingila Airport, also known as airport, FZKB, Aéroport de Bambili-Dingila (wd:Q3206837): airport in Democratic Republic of the Congo
9. Bokungu Airport, also known as Airport, FZGF (wd:Q4938837): airport in Democratic Republic of the Congo
10. Airport, also known as Rapid Airport (wd:Q11289474): Rapid trains in Hokkaido, Japan

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
3. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all resources related by this property are also related by that property, related property
5. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object that partially overlaps with the subject in its instances, parts, or members, different from
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
8. exemplar of, also known as contains work, includes work, contents (wd:P1574 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): Links an individual copy of a work to the item for that work or edition, instance of
9. usage example, also known as sentence, use in a sentence, example sentence (wd:P5831 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): example of how a lexeme (sense) might be used
10. fictional or mythical analog of, also known as fictionalisation of, mythical analog of, fictional version of, fictionalization of, fictional analog of (wd:P1074 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): used to link an entity or class of entities appearing in a creat...with the analogous entity or class of entities in the real world, inspired by

[Tool]
Got 10 rows and 1 column:
| airport                                                    |
| ---------------------------------------------------------- |
| Maputo International Airport (wd:Q1022397)                 |
| Jackson-Evers International Airport (wd:Q1025454)          |
| Ganja International Airport (wd:Q1030032)                  |
| María Montez International Airport (wd:Q1030428)           |
| Manuel Márquez de León International Airport (wd:Q1030564) |
| Margaret Ekpo International Airport (wd:Q1030578)          |
| Marechal Rondon International Airport (wd:Q1030919)        |
| Manzhouli Xijiao Airport (wd:Q1031116)                     |
| Mar de Cortés International Airport (wd:Q1031865)          |
| Murtala Muhammed International Airport (wd:Q1043631)       |

[Tool]
Got 10 rows and 2 columns:
| airport                                                    | runwayCount |
| ---------------------------------------------------------- | ----------- |
| Ganja International Airport (wd:Q1030032)                  | 1 (xsd:int) |
| Manuel Márquez de León International Airport (wd:Q1030564) | 1 (xsd:int) |
| Margaret Ekpo International Airport (wd:Q1030578)          | 1 (xsd:int) |
| Marechal Rondon International Airport (wd:Q1030919)        | 1 (xsd:int) |
| Manzhouli Xijiao Airport (wd:Q1031116)                     | 1 (xsd:int) |
| Faa'a International Airport (wd:Q1049719)                  | 1 (xsd:int) |
| Khartoum International Airport (wd:Q1050244)               | 1 (xsd:int) |
| Paphos International Airport (wd:Q1050707)                 | 1 (xsd:int) |
| Phnom Penh International Airport (wd:Q1054163)             | 1 (xsd:int) |
| Siem Reap International Airport (wd:Q1054472)              | 1 (xsd:int) |

[Tool]
Got 594 rows and 3 columns, showing the first 5 and last 5 rows below:
| airport                                            | airportLabel                                | runwayCount |
| -------------------------------------------------- | ------------------------------------------- | ----------- |
| Abakan International Airport (wd:Q558204)          | Abakan International Airport (en)           | 1 (xsd:int) |
| Abel Santamaría Airport (wd:Q3496664)              | Abel Santamaría Airport (en)                | 1 (xsd:int) |
| Abraham González Airport (wd:Q2233076)             | Abraham González Airport (en)               | 1 (xsd:int) |
| Adana Şakirpaşa Airport (wd:Q1430728)              | Adana Şakirpaşa Airport (en)                | 1 (xsd:int) |
| Addis Ababa Bole International Airport (wd:Q44923) | Addis Ababa Bole International Airport (en) | 1 (xsd:int) |
| ...                                                | ...                                         | ...         |
| Zamboanga International Airport (wd:Q1200033)      | Zamboanga International Airport (en)        | 1 (xsd:int) |
| Zaporizhzhia International Airport (wd:Q1432786)   | Zaporizhzhia International Airport (en)     | 1 (xsd:int) |
| Zenata – Messali El Hadj Airport (wd:Q2875969)     | Zenata – Messali El Hadj Airport (en)       | 1 (xsd:int) |
| Zhukovsky International Airport (wd:Q2388744)      | Zhukovsky International Airport (en)        | 1 (xsd:int) |
| Zvartnots International Airport (wd:Q1124922)      | Zvartnots International Airport (en)        | 1 (xsd:int) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?company ( COUNT( ?item ) AS ?numProduced ) ( SAMPLE( ?companyLabel ) AS ?label ) WHERE {
  ?item wdt:P272 ?company .
  OPTIONAL {
    ?company rdfs:label ?companyLabel FILTER ( lang( ?companyLabel ) = "en" )
  }
}
GROUP BY ?company
HAVING ( ?numProduced > 100 )
ORDER BY DESC ( ?numProduced )

Got 219 rows and 3 columns, showing the first 5 and last 5 rows below:
| company                                   | numProduced    | label                            |
| ----------------------------------------- | -------------- | -------------------------------- |
| Theater Basel (wd:Q391991)                | 7865 (xsd:int) | Theater Basel (en)               |
| Schauspielhaus Zürich (wd:Q40313234)      | 3203 (xsd:int) | Schauspielhaus Zürich (en)       |
| Vitagraph Studios (wd:Q1418400)           | 2551 (xsd:int) | Vitagraph Studios (en)           |
| Essanay Studios (wd:Q1368540)             | 1974 (xsd:int) | Essanay Studios (en)             |
| Universal Pictures (wd:Q168383)           | 1625 (xsd:int) | Universal Pictures (en)          |
| ...                                       | ...            | ...                              |
| Laika (wd:Q54805138)                      | 103 (xsd:int)  | Laika (en)                       |
| C-mine Cultuurcentrum Genk (wd:Q33100443) | 103 (xsd:int)  | C-mine Cultuurcentrum Genk (en)  |
| TriStar Pictures (wd:Q651454)             | 102 (xsd:int)  | TriStar Pictures (en)            |
| Disney Television Animation (wd:Q1392453) | 102 (xsd:int)  | Disney Television Animation (en) |
| Pixar (wd:Q127552)                        | 101 (xsd:int)  | Pixar (en)                       |

The production companies that have produced more than 100 items, ordered by the number of items produced in descending order, include Theater Basel, Schauspielhaus Zürich, Vitagraph Studios, Essanay Studios, Universal Pictures, and many others. The full list can be obtained from the query, which returns the company IRIs, the number of items produced, and (optionally) their English labels.

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

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

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

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

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

[User] Which production companies have produced more than 100 items, ordered by the number of items produced in descending order?

[Assistant]
Let's break down the question:

1. We need to identify "production companies" in Wikidata.
2. We need to find items they have "produced".
3. We need to count the number of items produced by each company.
4. We need to filter for companies that have produced more than 100 items.
5. We need to order the results by the count in descending order.

First, let's search for the entity for "production company" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. production company, also known as production agency (wd:Q11396960): company or studio that produces media
2. television production company, also known as TV show producing company, TV production company, TV produceur, television production companies, TV producer company (wd:Q10689397): company that produces TV programs
3. production company, also known as ballet company, theatrical troupe, theatre company, theater company, studio (wd:P272): company that produced this film, audio or performing arts work
4. film studio, also known as film production company, movie studio, motion picture studio, movie production company (wd:Q375336): major entertainment company or motion picture company that has i...e used to make films, which is handled by the production company
5. animation studio, also known as animation production company (wd:Q1107679): production company that creates animation
6. film production company, also known as movie production company, film company, movie company (wd:Q1762059): company that produces films
7. theatre company, also known as acting company, actors' collective, theater company, theatrical company, theatrical production company (wd:Q11812394): organization that produces theatrical performances
8. Konidela production company (wd:Q27963181): film
9. Transatlantic Pictures, also known as Transatlantic (production company) (wd:Q1265201): film production company
10. Indiana Production Company (wd:Q24760226)

[Assistant]
The most relevant entity for "production company" as a general concept is wd:Q11396960. However, in Wikidata, the property for "production company" (i.e., the company that produced a work) is wd:P272.

So, to find all items produced by a company, we should look for items where wdt:P272 points to a company. Then, we can count the number of items for each company.

Next, let's confirm that wd:P272 is the correct property for "production company" and see how it is used.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                     | property                      | object                               |
| ------------------------------------------- | ----------------------------- | ------------------------------------ |
| The Truth of the Moment (wd:Q12837618)      | production company (wdt:P272) | Russia (wd:Q159)                     |
| The Naked Maja (wd:Q1407653)                | production company (wdt:P272) | Italy (wd:Q38)                       |
| wd:Q113005344                               | production company (wdt:P272) | United Kingdom (wd:Q145)             |
| wd:Q123298751                               | production company (wdt:P272) | Kazakhstan (wd:Q232)                 |
| wd:Q132192931                               | production company (wdt:P272) | YouTube (wd:Q866)                    |
| wd:Q15623534                                | production company (wdt:P272) | World Health Organization (wd:Q7817) |
| Developer_Direct (wd:Q124222084)            | production company (wdt:P272) | Microsoft (wd:Q2283)                 |
| Bad Sisters (wd:Q111943988)                 | production company (wdt:P272) | Apple (wd:Q312)                      |
| Thomas and the Magic Railroad (wd:Q1635070) | production company (wdt:P272) | Isle of Man (wd:Q9676)               |
| Go, Dog. Go! (wd:Q104750296)                | production company (wdt:P272) | WildBrain Studios (wd:Q60749767)     |
| ...                                         | ...                           | ...                                  |

[Assistant]
The property wdt:P272 ("production company") is indeed used to link works (films, shows, etc.) to their production companies. The object can be a company or sometimes a country or organization.

To answer the question, we need to:
- Find all items with a wdt:P272 value.
- Group by the production company (object).
- Count the number of items for each company.
- Filter for counts greater than 100.
- Order by count descending.

Optionally, we can try to get the label for each company for readability.

Let's build and execute this SPARQL query.

[Tool]
Got 219 rows and 2 columns, showing the first 5 and last 5 rows below:
| company                                   | numProduced    |
| ----------------------------------------- | -------------- |
| Theater Basel (wd:Q391991)                | 7865 (xsd:int) |
| Schauspielhaus Zürich (wd:Q40313234)      | 3203 (xsd:int) |
| Vitagraph Studios (wd:Q1418400)           | 2551 (xsd:int) |
| Essanay Studios (wd:Q1368540)             | 1974 (xsd:int) |
| Universal Pictures (wd:Q168383)           | 1625 (xsd:int) |
| ...                                       | ...            |
| Laika (wd:Q54805138)                      | 103 (xsd:int)  |
| C-mine Cultuurcentrum Genk (wd:Q33100443) | 103 (xsd:int)  |
| TriStar Pictures (wd:Q651454)             | 102 (xsd:int)  |
| Disney Television Animation (wd:Q1392453) | 102 (xsd:int)  |
| Pixar (wd:Q127552)                        | 101 (xsd:int)  |

[Tool]
Got 219 rows and 3 columns, showing the first 5 and last 5 rows below:
| company                                   | numProduced    | label                            |
| ----------------------------------------- | -------------- | -------------------------------- |
| Theater Basel (wd:Q391991)                | 7865 (xsd:int) | Theater Basel (en)               |
| Schauspielhaus Zürich (wd:Q40313234)      | 3203 (xsd:int) | Schauspielhaus Zürich (en)       |
| Vitagraph Studios (wd:Q1418400)           | 2551 (xsd:int) | Vitagraph Studios (en)           |
| Essanay Studios (wd:Q1368540)             | 1974 (xsd:int) | Essanay Studios (en)             |
| Universal Pictures (wd:Q168383)           | 1625 (xsd:int) | Universal Pictures (en)          |
| ...                                       | ...            | ...                              |
| Laika (wd:Q54805138)                      | 103 (xsd:int)  | Laika (en)                       |
| C-mine Cultuurcentrum Genk (wd:Q33100443) | 103 (xsd:int)  | C-mine Cultuurcentrum Genk (en)  |
| TriStar Pictures (wd:Q651454)             | 102 (xsd:int)  | TriStar Pictures (en)            |
| Disney Television Animation (wd:Q1392453) | 102 (xsd:int)  | Disney Television Animation (en) |
| Pixar (wd:Q127552)                        | 101 (xsd:int)  | Pixar (en)                       |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?item ?partOf WHERE {
  {
    ?item wdt:P279 wd:Q11660 .
    OPTIONAL {
      ?item wdt:P361 ?partOf .
    }
  } UNION {
    ?item wdt:P31 wd:Q11660 .
    OPTIONAL {
      ?item wdt:P361 ?partOf .
    }
  }
}
LIMIT 40

Got 40 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                                                                | partOf |
| ----------------------------------------------------------------------------------- | ------ |
| automated music production (wd:Q100148106)                                          |        |
| autonomous navigation (wd:Q100712173)                                               |        |
| Green AI (wd:Q103845039)                                                            |        |
| Red AI (wd:Q103873243)                                                              |        |
| artificial intelligence in hiring (wd:Q104878955)                                   |        |
| ...                                                                                | ...    |
| artificial intelligence in the 2...ted States presidential election (wd:Q130520311) |        |
| machine pattern analysis (wd:Q131442667)                                            |        |
| machine prediction methods (wd:Q131442679)                                          |        |
| military applications of artificial intelligence (wd:Q131513833)                    |        |
| wd:Q132820774                                                                       |        |

Here are some items that are either instances or subclasses of artificial intelligence, along with the objects they are part of (if any):

- automated music production (wd:Q100148106)
- autonomous navigation (wd:Q100712173)
- Green AI (wd:Q103845039)
- Red AI (wd:Q103873243)
- artificial intelligence in hiring (wd:Q104878955)
- affective computing (wd:Q1185804)
- machine unlearning (wd:Q118970497), part of artificial intelligence (wd:Q11660) and mathematics (wd:Q395)
- evolutionary computation (wd:Q1197129), part of computational intelligence (wd:Q1122090)
- Computer Go (wd:Q1207836)
- You.com (wd:Q111598768)
- NotebookLM (wd:Q124559107)
- artificial intelligence in higher education (wd:Q126198166)
- artificial neural network (wd:Q192776)
- AlphaFold (wd:Q60827595)

Most items do not have a 'part of' relation, but some, like machine unlearning and evolutionary computation, do.

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

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

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

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

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

[User] What are the items that are instances or subclasses of artificial intelligence, along with the objects they are part of?

[Assistant]
Let's break down the question:

1. We need to find items that are either instances or subclasses of "artificial intelligence".
2. For each such item, we also want to know the objects they are part of.

Step 1: Find the entity for "artificial intelligence" in Wikidata.
Step 2: Find the properties for "instance of" and "subclass of".
Step 3: Find the property for "part of".
Step 4: Build a query to get all items that are either instances or subclasses of artificial intelligence, and for each, get the objects they are part of.

Let's start by searching for the entity "artificial intelligence".

[Tool]
Top 10 entity alternatives:
1. artificial intelligence, also known as Machine thought, Machine understanding, Machines that can think, Machine intelligence, Simulated intelligence (wd:Q11660): field of computer science that develops and studies intelligent machines; also referring to such software
2. artificial intelligence, also known as Artificial Intelligence, a.i., Intelligent machine, Machine thought, Artificial Intelligence (AI), Artificially intelligent (wd:Q11660): field of computer science that develops and studies intelligent machines; also referring to such software
3. A.I. Artificial Intelligence, also known as Artificial Intelligence: A.I., Artificial Intelligence, AI, A.I., A.I.: Artificial Intelligence (wd:Q221113): 2001 film directed by Steven Spielberg
4. Artificial Intelligence (wd:Q128447): 1985 studio album by John Cale
5. Artificial Intelligence (wd:Q4801033): 1992 compilation album; various artists
6. Artificial Intelligence (wd:Q2865784): series of albums by Warp Records
7. Artificial Intelligence, also known as AIJ, Journal of Artificial Intelligence (wd:Q4801030): journal published by Elsevier
8. Artificial Intelligence (wd:Q28451730): song performed by OneRepublic
9. ISO/IEC JTC 1/SC 42: Artificial intelligence, also known as Artificial intelligence (wd:Q98148785): subcommittee of a technical committee
10. Artificial Intelligence (wd:Q125635217): book by Patrick Henry Winston

[Assistant]
The main entity for "artificial intelligence" as a field is wd:Q11660.

Next, let's identify the properties for "instance of", "subclass of", and "part of".

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
3. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all resources related by this property are also related by that property, related property
5. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object that partially overlaps with the subject in its instances, parts, or members, different from
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
8. exemplar of, also known as contains work, includes work, contents (wd:P1574 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): Links an individual copy of a work to the item for that work or edition, instance of
9. usage example, also known as sentence, use in a sentence, example sentence (wd:P5831 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): example of how a lexeme (sense) might be used
10. fictional or mythical analog of, also known as fictionalisation of, mythical analog of, fictional version of, fictionalization of, fictional analog of (wd:P1074 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): used to link an entity or class of entities appearing in a creat...with the analogous entity or class of entities in the real world, inspired by

[Tool]
Top 10 property alternatives:
1. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
2. is metaclass for, also known as instances are a subclass of, instances are subclasses of, instances are subclass of, is a metaclass for, is a metaclass of (wd:P8225 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all instances of the subject are subclasses of the object
3. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all resources related by this property are also related by that property, related property
4. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): topic of which this item is an aspect; item that offers a broader perspective on the same topic
5. narrower external class, also known as external subclass (wd:P3950 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): more specific subclass included in other ontology but not in Wikidata
6. metasubclass of, also known as metaclass of (wd:P2445 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): relation between two metaclasses: instances of this metaclass ar...subclasses of classes that are instances of the target metaclass
7. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
8. equivalent in higher rank taxon, also known as term in larger group, closest concept in higher taxon, term in higher taxon, term in higher-order taxon, subclass of higher-taxon concept (wd:P10019 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): an equivalent class that is species-neutral or scoped to higher ranking taxa, subclass of
9. equivalent class, also known as schema.org type, same kind of thing, same grouping, same class, external class (wd:P1709 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): equivalent class in other ontologies (use property URI), exact match, URL
10. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): series which contains the subject, part of

[Tool]
Top 10 property alternatives:
1. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
2. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
3. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): part, aspect, or form of the item to which the claim applies
4. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object that partially overlaps with the subject in its instances, parts, or members, different from
5. proportion, also known as %, share, ratio, part, percent (wd:P1107 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): to be used as a qualifier, value must be between 0 and 1
6. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
7. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
8. depicted part, also known as part depicted, part shown, shown part (wd:P5961 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): use as qualifier for "depicts" (P180)
9. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
10. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with

[Assistant]
We have identified the following:
- "artificial intelligence" entity: wd:Q11660
- "instance of": wdt:P31
- "subclass of": wdt:P279
- "part of": wdt:P361

Now, let's build a SPARQL query to get all items that are either instances (P31) or subclasses (P279) of artificial intelligence (wd:Q11660), and for each such item, get the objects they are "part of" (P361).

We will also try to get optional labels for readability, but the main result will be the IRIs.

Let's construct and execute the query.

[Tool]
SPARQL execution failed:
Tried to allocate 6.6 GB, but only 5.5 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
The query failed due to memory constraints, likely because the union of all instances and subclasses of artificial intelligence is too large for a single query. To address this, I will split the query into two parts: one for instances and one for subclasses, and limit the results to a manageable number for demonstration. If needed, the queries can be run separately for more comprehensive results.

Let's start by querying only for instances of artificial intelligence and their "part of" relations.

[Tool]
SPARQL execution failed:
Tried to allocate 6.6 GB, but only 5.5 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
Even with a LIMIT, the query for instances of artificial intelligence is still too large for the available memory. This suggests that the number of direct instances is very high or the property is used very broadly.

To further reduce the query size, I will focus on subclasses of artificial intelligence and their "part of" relations, as the subclass hierarchy is usually less extensive than direct instances.

Let's try querying only for subclasses of artificial intelligence and their "part of" relations, with a LIMIT.

[Tool]
SPARQL execution failed:
Tried to allocate 6.6 GB, but only 5.5 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
Even when restricting the query to subclasses only, the result set is still too large for the available memory. This suggests that both the instance and subclass hierarchies for "artificial intelligence" are very broad in Wikidata.

To further reduce the query size, I will add an additional LIMIT and only return the IRIs (without labels), which should reduce memory usage. If this still fails, I will attempt to retrieve just a sample of the subclass hierarchy without the "part of" relation.

Let's try a minimal query: just the first 20 subclasses of artificial intelligence and their "part of" relations, without labels.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                              | partOf                                   |
| ------------------------------------------------- | ---------------------------------------- |
| automated music production (wd:Q100148106)        |                                          |
| autonomous navigation (wd:Q100712173)             |                                          |
| Green AI (wd:Q103845039)                          |                                          |
| Red AI (wd:Q103873243)                            |                                          |
| artificial intelligence in hiring (wd:Q104878955) |                                          |
| ...                                               | ...                                      |
| affective computing (wd:Q1185804)                 |                                          |
| machine unlearning (wd:Q118970497)                | artificial intelligence (wd:Q11660)      |
| machine unlearning (wd:Q118970497)                | mathematics (wd:Q395)                    |
| evolutionary computation (wd:Q1197129)            | computational intelligence (wd:Q1122090) |
| Computer Go (wd:Q1207836)                         |                                          |

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                                        | partOf |
| ----------------------------------------------------------- | ------ |
| wd:Q106548707                                               |        |
| You.com (wd:Q111598768)                                     |        |
| NotebookLM (wd:Q124559107)                                  |        |
| wd:Q125545918                                               |        |
| artificial intelligence in higher education (wd:Q126198166) |        |
| ...                                                         | ...    |
| wd:Q132820774                                               |        |
| wd:Q16632290                                                |        |
| wd:Q18337489                                                |        |
| artificial neural network (wd:Q192776)                      |        |
| AlphaFold (wd:Q60827595)                                    |        |

[Tool] Stopped generation process