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( DISTINCT ?runway ) AS ?numRunways ) WHERE {
  ?airport wdt:P31 / wdt:P279 * wd:Q644371 .
  ?airport wdt:P529 ?runway .
  OPTIONAL {
    ?airport rdfs:label ?airportLabel FILTER ( LANG( ?airportLabel ) = "en" )
  }
}
GROUP BY ?airport ?airportLabel
HAVING ( COUNT( DISTINCT ?runway ) = 1 )
ORDER BY ?airportLabel

Using entities:
international airport (wd:Q644371)

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
runway (wd:P529 as wdt), also known as RWY, P529

Got 594 rows and 3 columns, showing the first 5 and last 5 rows below:
| airport                                            | airportLabel                                | numRunways  |
| -------------------------------------------------- | ------------------------------------------- | ----------- |
| 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) |

Answer:
I executed the query and it returns 594 international airports that have exactly one runway (counting distinct wdt:P529 values). Sample of results (label — number of runways):
- Abakan International Airport — 1
- Abel Santamaría Airport — 1
- Abraham González Airport — 1
- Adana Şakirpaşa Airport — 1
- Addis Ababa Bole International Airport — 1
- ... (total 594 items) ...
- Zamboanga International Airport — 1
- Zaporizhzhia International Airport — 1
- Zenata – Messali El Hadj Airport — 1
- Zhukovsky International Airport — 1
- Zvartnots International Airport — 1

Full results (IRIs, optional English labels, and runway counts) can be retrieved by running the SPARQL query above against the Wikidata endpoint.

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

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

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

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

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

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

[Assistant] I'll search for properties related to "runway" to find how runways are modeled in Wikidata, then look for items that are airports and are classified as international airports, and finally query for airports with exactly one runway. I'll start by searching for relevant properties.

[Tool]
Top 10 property alternatives:
1. runway (wd:P529 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as RWY, P529: name (direction) of runway at airport/airfield/airstrip / name (direction) of runway at airport/airfield/airstrip
2. transport network (wd:P16 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via road type), also known as highway system, light rail system, metro system, network, part of network, etc.: system (or specific country specific road type) of which the highway is a part / system (or specific country specific road type) of which the highway is a part / network the infrastructure is a part of / is subproperty of part of
3. traffic sign (wd:P14 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via road marker), also known as highway marker, highway shield, motorway sign, road marker, road sign, etc.: graphic symbol describing the item, used at the side of or above roads to give instructions or provide information to road users / graphic symbol at the side of or above roads to give instructions or provide information to road users / graphic symbol at the side of or above roads to give instructions or provide information to road users / is subproperty of logo image
4. located on street (wd:P669 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via road), also known as address street, is on, located at street (item), on street, road, etc.: street, road, or square, where the item is located. To add ... P6375 "street address", if there is no item for the street / street, or road, where the item is located. To add the ... Use property P6375 if there is no item for the street / is subproperty of location / is subproperty of part of
5. distance from river mouth (wd:P2148 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via river mile), also known as river kilometer, river kilometre, river mile, P2148: qualifier for P974 statements on streams / is subproperty of length
6. organization directed by the office or position (wd:P2389 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via runs), also known as chairman of, chair of, chairperson of, chairwoman of, commander of, etc.: organisation which is directed  by this office / organization which is directed by this office
7. item operated (wd:P121 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via runs), also known as acop, aircraft carried, aircraft in fleet, aircraft operated, controls, etc.: equipment, installation or service operated by the subject / equipment, installation or service operated by the subject / equipment, installation or service operated by the subject / is subproperty of uses
8. route map (wd:P15 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via road map), also known as highway map, map of route, metro map, railroad map, railway map, etc.: image of route map at Wikimedia Commons / image of route map at Wikimedia Commons / image of route map at Wikimedia Commons / is subproperty of locator map image
9. via (wd:P2825 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via route via), also known as called at, calling at, calling point, intermediate point, journey stopover, etc.: intermediate point on a journey - stopover location, waystation or routing point / intermediate point on a journey - stopover location, waystation or routing point / is subproperty of location
10. road number (wd:P1824 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via highway number), also known as highway number, route number, shield number, P1824: number assigned to a stretch of public roadway; omit any prefix or suffix indicated by a road number formatter (P8498) / number assigned to a stretch of public roadway / number assigned to a stretch of public roadway / is subproperty of location code

[Assistant] I'll search for properties related to "number of runways" or "number of runways" phrasing.

[Tool]
Top 10 property alternatives:
1. runway (wd:P529 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as RWY, P529: name (direction) of runway at airport/airfield/airstrip / name (direction) of runway at airport/airfield/airstrip
2. number of lanes (wd:P10367 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as lanes number, number of lanes of that road in a direction, P10367: number of lanes on this road in a given direction
3. ICAO airport code (wd:P239 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via ICAO aerodrome code), also known as ICAO aerodrome code, ICAO airfield code, International Civil Aviation Organization airport code, P239: four-character alphanumeric identifier for designating airports (for airlines, see P230) / four-character alphanumeric code for designating airports (for airlines, see P:230) / four-character alphanumeric code for designating airports (for airlines, see P:230)
4. takeoff and landing capability (wd:P1956 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P1956: type of takeoff and landing the aircraft is designed to operate
5. airline hub (wd:P113 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as hub, hub airport, P113: airport that serves as a hub for an airline / airport that serves as a hub for an airline / airport that serves as a hub for an airline
6. number of seats in assembly (wd:P1410 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via seats), also known as number of delegates, number of representatives, number of seats, seats, P1410: number of seats a political party, faction, or group has in a given assembly
7. maximum capacity (wd:P1083 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via seats), also known as capacity, complement, crew, number of seats, seating capacity, etc.: number of people allowed for a venue or vehicle / number of people allowed for a venue or vehicle
8. item operated (wd:P121 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via aircraft carried), also known as acop, aircraft carried, aircraft in fleet, aircraft operated, controls, etc.: equipment, installation or service operated by the subject / equipment, installation or service operated by the subject / equipment, installation or service operated by the subject / is subproperty of uses
9. FAA airport code (wd:P240 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as FAA LID, P240: three-letter or four-letter alphanumeric code identifying United States airports / three-letter or four-letter alphanumeric code identifying United States airports / three-letter or four-letter alphanumeric code identifying United States airports
10. image of design plans (wd:P3311 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via airport diagram), also known as airport diagram, architectural plan image, blue print, design plan, floor plan, etc.: image representing the plan of a building or place / is subproperty of detail map

[Assistant] I'll search for the entity for "international airport" in Wikidata to identify its Q-id.

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

[Assistant] Next I'll list some triples that use the direct property wdt:P529 (runway) to confirm how runways are modeled and get examples. I'll request some triples with that property.

[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   |
| ...                                             | ...               | ...     |

[Assistant] I'll run a small SPARQL query to retrieve some items that are instance of "international airport" (Q644371) together with their runway (wdt:P529) values and English labels to confirm how runways are recorded.

[Tool]
Got 50 rows and 3 columns, showing the first 5 and last 5 rows below:
| airport                                               | runway  | airportLabel                                 |
| ----------------------------------------------------- | ------- | -------------------------------------------- |
| Maputo International Airport (wd:Q1022397)            | 05/23   | Maputo International Airport (en)            |
| Maputo International Airport (wd:Q1022397)            | 10/28   | Maputo International Airport (en)            |
| Jackson-Evers International Airport (wd:Q1025454)     | 16L/34R | Jackson-Evers International Airport (en)     |
| Jackson-Evers International Airport (wd:Q1025454)     | 16R/34L | Jackson-Evers International Airport (en)     |
| Ganja International Airport (wd:Q1030032)             | 12/30   | Ganja International Airport (en)             |
| ...                                                   | ...     | ...                                          |
| Jacksons International Airport (wd:Q1088438)          | 14L/32R | Jacksons International Airport (en)          |
| Jacksons International Airport (wd:Q1088438)          | 14R/32L | Jacksons International Airport (en)          |
| Cleveland Hopkins International Airport (wd:Q1100795) | 06L/24R | Cleveland Hopkins International Airport (en) |
| Cleveland Hopkins International Airport (wd:Q1100795) | 06R/24L | Cleveland Hopkins International Airport (en) |
| Cleveland Hopkins International Airport (wd:Q1100795) | 10/28   | Cleveland Hopkins International Airport (en) |

[Assistant]
I'll run a SPARQL query that:
- finds items that are instances of (or instances of a subclass of) "international airport" (wd:Q644371),
- counts their wdt:P529 (runway) statements,
- keeps only those with exactly one runway,
- returns the airport IRI, English label (if available), and the runway count,
- orders results by the airport label.

Now I'll execute that query.

[Tool]
Got 594 rows and 3 columns, showing the first 5 and last 5 rows below:
| airport                                            | airportLabel                                | numRunways  |
| -------------------------------------------------- | ------------------------------------------- | ----------- |
| 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) |

[Assistant] I'll return the final SPARQL query (which I already executed) and report the results: the query finds international airports (instances of or instances of subclasses of Q644371) that have exactly one wdt:P529 runway statement, returning the airport IRI, English label (if present), and the runway count, ordered by label. The query returned 594 results; I include a short sample and the full query below. Now I'll provide the final answer.

[Tool] Stopping


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

Using properties:
production company (wd:P272 as wdt), also known as ballet company, broadcasting company, film studio, motion picture studio, movie studio, etc.

Got 219 rows and 3 columns, showing the first 5 and last 5 rows below:
| company                                   | count          | companyLabel                     |
| ----------------------------------------- | -------------- | -------------------------------- |
| 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)                       |

Answer:
I ran the query which counts items that list a given entity as their production company (property P272), groups by the company, filters to companies with more than 100 items, and orders by the count descending.

Results summary:
- Total companies with more than 100 items: 219.
- Top examples (company IRI — English label — count):
  - wd:Q391991 — Theater Basel — 7865
  - wd:Q40313234 — Schauspielhaus Zürich — 3203
  - wd:Q1418400 — Vitagraph Studios — 2551
  - wd:Q1368540 — Essanay Studios — 1974
  - wd:Q168383 — Universal Pictures — 1625

- Companies near the threshold (examples):
  - wd:Q54805138 — Laika — 103
  - wd:Q33100443 — C-mine Cultuurcentrum Genk — 103
  - wd:Q651454 — TriStar Pictures — 102
  - wd:Q1392453 — Disney Television Animation — 102
  - wd:Q127552 — Pixar — 101

Final SPARQL query (returns the list of all such companies with counts, ordered descending):

SELECT ?company (COUNT(?item) AS ?count) ?companyLabel WHERE {
  ?item wdt:P272 ?company .
  OPTIONAL { ?company rdfs:label ?companyLabel FILTER(LANG(?companyLabel) = "en") }
}
GROUP BY ?company ?companyLabel
HAVING (COUNT(?item) > 100)
ORDER BY DESC(?count)

You can run this query on the Wikidata SPARQL endpoint to get the full ordered list of production companies and their production counts.

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

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

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

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

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

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

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

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

[Assistant] Step 1: I'll search Wikidata for the property that indicates a production company (to avoid guessing property IDs). I'll use the property search tool with the query "production company".

[Tool]
Top 10 property alternatives:
1. production company (wd:P272 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as ballet company, broadcasting company, film studio, motion picture studio, movie studio, etc.: company that produced this film, audio or performing arts work / company that produced this film, audio or performing arts work
2. manufacturer (wd:P176 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via producer), also known as assembled by, assembler, brewed by, brewer, builder, etc.: (main or final) manufacturer or producer of this product / manufacturer or producer of this product
3. producer (wd:P162 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as creative producer, film producer, musical producer, music producer, produced by, etc.: person(s) who produced the film, musical work, theatrical ... [for production company, use P272, video games - use P178] / producer(s) of this film or music work (film: not executive producers, associate producers, etc.)
4. product or material produced (wd:P1056 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via producer of), also known as commodity, creates, has product, maker of, makes, etc.: material or product produced by an organization, industry, facility, or process / material or product produced by a business or industry / is subproperty of immediate cause of
5. production manager (wd:P12324 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as unit production manager, P12324: manager that is responsible for the administration of a feature film or television production
6. working title (wd:P1638 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via production title), also known as code name, codename, production name, production title, working name, etc.: temporary name of a product or project used during its development
7. produced by (wd:P2849 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as secreted by, P2849: links a class of biological features (such as a biochemical ... with another class of biological entities known to produce it / is subproperty of has immediate cause
8. fabrication method (wd:P2079 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via produced by), also known as assembly method, assembly process, building technique, by means, by method, etc.: method, process or technique used to grow, cook, weave, build, assemble, manufacture the item / method, process or technique used to grow, cook, weave, build, assemble, manufacture the item / is subproperty of uses
9. executive producer (wd:P1431 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P1431: executive producer of a movie, TV show, or other piece of media or entertainment
10. created for (wd:P9883 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via produced for), also known as cause of creation, commissioned for, made for, occasion, on the occasion of, etc.: a work, event, etc. for which the subject work was created ... was created for; a film that a screenplay was written for)

[Assistant] I'll run a SPARQL query that counts, for each entity used as a production company (property P272), how many items it is listed on. I'll request the company's IRI and optionally its English label, group by company, filter to counts > 100, and order by count descending. Then I'll inspect the results and return the final query and answer. Now I'll execute that query.

[Tool]
Got 219 rows and 3 columns, showing the first 5 and last 5 rows below:
| company                                   | count          | companyLabel                     |
| ----------------------------------------- | -------------- | -------------------------------- |
| 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)                       |

[Assistant] I'll now return the final SPARQL query (the one I executed) and summarize the query results (number of companies found and example top and near-threshold entries). Then I'll finalize with the query so you can run it yourself.

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?item ?itemLabel ?partOf ?partOfLabel WHERE {
  {
    ?item wdt:P31 wd:Q11660
  } UNION {
    ?item wdt:P279 * wd:Q11660
  }
  OPTIONAL {
    ?item wdt:P361 ?partOf .
    FILTER ( ! STRSTARTS( STR( ?partOf ) , "http://www.wikidata.org/entity/L" ) )
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
  OPTIONAL {
    ?partOf rdfs:label ?partOfLabel FILTER ( LANG( ?partOfLabel ) = "en" )
  }
}
ORDER BY ?item
LIMIT 1000

Using entities:
artificial intelligence (wd:Q11660), also known as AI, AI software, Artificial Intelligence, Artificial Intelligence, a.i., Artificially intelligent, etc.

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
part of (wd:P361 as wdt), also known as assembly of, branch of, chain, collateral branch of, component of, etc.

SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

Explanation:
I searched for the Wikidata item for "artificial intelligence" and found wd:Q11660. I then built a SPARQL query to find items that are either instances (wdt:P31) of wd:Q11660 or subclasses (wdt:P279* transitively) of it, and to return any objects they are part of (wdt:P361). I executed an initial query which returned results, but subsequent attempts to run a refined query failed due to connection errors (RemoteDisconnected / ConnectionResetError). Because the endpoint could not be reached reliably for the final execution, I cannot provide a verified result set from the live endpoint.

Best SPARQL query (my final attempt) that you can run on Wikidata to obtain items that are instances or subclasses of artificial intelligence and the objects they are part of:

SELECT DISTINCT ?item ?itemLabel ?partOf ?partOfLabel WHERE {
  { ?item wdt:P31 wd:Q11660 } UNION { ?item wdt:P279* wd:Q11660 }
  OPTIONAL { ?item wdt:P361 ?partOf . FILTER(!STRSTARTS(STR(?partOf), "http://www.wikidata.org/entity/L")) }
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
  OPTIONAL { ?partOf rdfs:label ?partOfLabel FILTER(LANG(?partOfLabel) = "en") }
}
ORDER BY ?item
LIMIT 1000

If you want, I can retry executing this query later, or you can run it yourself on the Wikidata Query Service. If you prefer, I can also modify the query to restrict to items that have a partOf value, or to include other properties (e.g., description), or to return labels in other languages.

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

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

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

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

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

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

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

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

[Assistant] Step 1: I'll search for the Wikidata item for "artificial intelligence" to get its identifier. I'll explain my thought process and then run the search.

[Tool]
Top 10 entity alternatives:
1. artificial intelligence (wd:Q11660), also known as AI, AI software, Artificial Intelligence, Artificial Intelligence, a.i., Artificially intelligent, etc.: field of computer science that develops and studies intelligent machines; also referring to such software / branch of computer science that develops machines and software with human-like intelligence / is instance of branch of computer science / is subclass of emerging technologies / is instance of type of intelligence / is subclass of emerging technology / is instance of type of technology / is subclass of computer science / is instance of economic branch / is subclass of Informatics / is subclass of reasoning / is instance of industry
2. A.I. Artificial Intelligence (wd:Q221113, matched via Artificial Intelligence), also known as A.I., AI, A.I.: Artificial Intelligence, Artificial Intelligence, Artificial Intelligence: A.I.: 2001 film by Steven Spielberg / is instance of film
3. Artificial Intelligence (wd:Q128447): 1985 studio album by John Cale / is instance of album
4. Artificial Intelligence (wd:Q2865784): series of albums by Warp Records / is instance of album series
5. Artificial Intelligence (wd:Q4801033): 1992 compilation album; various artists / is instance of album
6. Artificial Intelligence (wd:Q4801030), also known as AIJ, Journal of Artificial Intelligence: is instance of scientific journal / journal published by Elsevier
7. Artificial Intelligence (wd:Q28451730): is instance of musical work/composition / song performed by OneRepublic
8. ISO/IEC JTC 1/SC 42: Artificial intelligence (wd:Q98148785, matched via Artificial intelligence), also known as Artificial intelligence: is instance of subcommittee of a technical committee / subcommittee of a technical committee
9. Artificial Intelligence (wd:Q109875730): is instance of extended play / 2021 EP by Tom Cardy
10. Artificial Intelligence (wd:Q125635217): book by Patrick Henry Winston / is instance of written work

[Assistant] I will run a SPARQL query that finds items which are either instances (wdt:P31) of artificial intelligence (wd:Q11660) or subclasses (transitively, wdt:P279*) of it, and optionally returns the entities they are part of via wdt:P361. I will also request English rdfs:label values as optional. I'll limit results to 500 to keep it manageable. Now I'll execute the query.

[Tool]
Got 500 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                                               | itemLabel                                               | partOf         | partOfLabel    |
| ------------------------------------------------------------------ | ------------------------------------------------------- | -------------- | -------------- |
| pattern recognition (wd:Q378859)                                   | pattern recognition (en)                                | wd:L10         | describe (en)  |
| computer-based question classification (wd:Q46346005)              | computer-based question classification (en)             | wd:L10         | describe (en)  |
| image-to-image translation (wd:Q45318647)                          | image-to-image translation (en)                         | wd:L10         | describe (en)  |
| automated machine learning (wd:Q43967068)                          | automated machine learning (en)                         | wd:L10         | describe (en)  |
| friendly artificial intelligence (wd:Q4168796)                     | friendly artificial intelligence (en)                   | wd:L10         | describe (en)  |
| ...                                                                | ...                                                     | ...            | ...            |
| personalized machine learning (wd:Q113506252)                      | personalized machine learning (en)                      | wd:L1000000-S1 | etymology (en) |
| knowledge-intensive natural language understanding (wd:Q113481469) | knowledge-intensive natural language understanding (en) | wd:L1000000-S1 | etymology (en) |
| Wasserstein GAN (wd:Q113331561)                                    | Wasserstein GAN (en)                                    | wd:L1000000-S1 | etymology (en) |
| semi-supervised and unsupervised learning (wd:Q113127963)          | semi-supervised and unsupervised learning (en)          | wd:L1000000-S1 | etymology (en) |
| Trust Region Policy Optimization (wd:Q112889254)                   | Trust Region Policy Optimization (en)                   | wd:L1000000-S1 | etymology (en) |

[Assistant] I'll refine the query to exclude lexeme (L...) partOf values, add DISTINCT and ordering, then execute it to get the final result set. Now I'll run that query.

[Tool]
SPARQL execution failed:
('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))

[Assistant] I'll retry a simpler query with LIMIT 500, DISTINCT, and the lexeme filter, to avoid the previous connection issue. I'll run it now.

[Tool]
SPARQL execution failed:
('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))

[Assistant] I will stop now because the SPARQL endpoint connection repeatedly failed when trying to run the final, refined query. I'll explain what I did and provide my best-attempt SPARQL query for you to run or for me to retry later.

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?art ?artLabel ?creator ?creatorLabel WHERE {
  ?art wdt:P170 ?creator .
  ?creator wdt:P21 wd:Q6581072 .
  {
    ?art wdt:P276 wd:Q84
  } UNION {
    ?art wdt:P131 wd:Q84
  } UNION {
    ?art wdt:P276 ?loc .
    ?loc wdt:P131 + wd:Q84
  } UNION {
    ?art wdt:P131 ?loc2 .
    ?loc2 wdt:P131 + wd:Q84
  }
  ?art wdt:P31 ?type .
  VALUES ?type {
    wd:Q557141 wd:Q860861 wd:Q179700 wd:Q5003624 wd:Q219423 wd:Q4989906 wd:Q838948
  }
  FILTER NOT EXISTS {
    ?art wdt:P195 ?collection
  }
  OPTIONAL {
    ?art rdfs:label ?artLabel FILTER ( LANG( ?artLabel ) = "en" )
  }
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel FILTER ( LANG( ?creatorLabel ) = "en" )
  }
}
ORDER BY ?artLabel

Using entities:
statue (wd:Q179700)
mural (wd:Q219423), also known as murals
monument (wd:Q4989906), also known as monuments
memorial (wd:Q5003624), also known as memorial site, remembrance
public art (wd:Q557141)
female (wd:Q6581072), also known as f, fairer sex, fem, female character, female gender, etc.
work of art (wd:Q838948), also known as art, artistic work, artistic works, art object, art objects, etc.
London (wd:Q84), also known as Augusta, Big Smoke, Kaerlud, Karelundein, LDN, etc.
sculpture (wd:Q860861), also known as piece of sculpture, sculptural work, sculptures

Using properties:
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.
creator (wd:P170 as wdt), also known as art by, artist (non-musical), art work by, artwork by, by, etc.
collection (wd:P195 as wdt), also known as archival holdings, archives, art collection, bibliographic collection, book collection, etc.
sex or gender (wd:P21 as wdt), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.
location (wd:P276 as wdt), also known as based in, city, from, held by, in, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 7 rows and 4 columns:
| art                                                | artLabel                                | creator                                | creatorLabel                 |
| -------------------------------------------------- | --------------------------------------- | -------------------------------------- | ---------------------------- |
| Energy Sculpture London (wd:Q63183611)             | Energy Sculpture London (en)            | Tia Anna Paynich (wd:Q61927540)        | Tia Anna Paynich (en)        |
| House (wd:Q17146854)                               | House (en)                              | Rachel Whiteread (wd:Q454041)          | Rachel Whiteread (en)        |
| Reach (wd:Q123049287)                              | Reach (en)                              | Pixie Mudge Massey Shaw (wd:Q90518856) | Pixie Mudge Massey Shaw (en) |
| Sadako Sasaki Monument (wd:Q129719331)             | Sadako Sasaki Monument (en)             | Hazel Reeves (wd:Q59779567)            | Hazel Reeves (en)            |
| Statue of Laurence Olivier, London (wd:Q110819408) | Statue of Laurence Olivier, London (en) | Angela Conner (wd:Q4762412)            | Angela Conner (en)           |
| The End (sculpture) (wd:Q118697934)                | The End (sculpture) (en)                | Heather Phillipson (wd:Q19517821)      | Heather Phillipson (en)      |
| The Tuckshop Tanner (wd:Q122678557)                | The Tuckshop Tanner (en)                | Jessica Wetherly (wd:Q122678392)       | Jessica Wetherly (en)        |

Answer:
The query returns the following public artworks in London created by female artists (artwork — creator), showing Wikidata IDs:

- Energy Sculpture London (wd:Q63183611) — Tia Anna Paynich (wd:Q61927540)
- House (wd:Q17146854) — Rachel Whiteread (wd:Q454041)
- Reach (wd:Q123049287) — Pixie Mudge Massey Shaw (wd:Q90518856)
- Sadako Sasaki Monument (wd:Q129719331) — Hazel Reeves (wd:Q59779567)
- Statue of Laurence Olivier, London (wd:Q110819408) — Angela Conner (wd:Q4762412)
- The End (sculpture) (wd:Q118697934) — Heather Phillipson (wd:Q19517821)
- The Tuckshop Tanner (wd:Q122678557) — Jessica Wetherly (wd:Q122678392)

Notes on method: I selected items with a creator (P170) whose sex or gender (P21) is female (wd:Q6581072), constrained items to be located in London (P276 or P131, including nested administrative containment), and limited instances (P31) to common public-art types; I also excluded items that are in museum collections (P195) to focus on public/outdoor works. If you want, I can expand the types searched, include works inside museums in London, or return additional information (coordinates, creation date, or links).

What are the public artworks located in London created by female artists? For each artwork, include also the artwork's creator.

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

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

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

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

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

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

[User] What are the public artworks located in London created by female artists? For each artwork, include also the artwork's creator.

[Assistant] I'll first search for the Wikidata item that corresponds to "public art" or "public artwork" to use as the class (instance of) in the query. Then I'll search for properties for creator, location (located in London) and gender of creators to filter female artists. I'll run searches and then build the SPARQL query incrementally, executing intermediate queries to verify results. I'll explain each step and the results. Now I'll search for the entity "public art".

[Tool]
Top 10 entity alternatives:
1. public art (wd:Q557141): genre of art that is created to be in a public space / genre of art in the physical public domain / is subclass of work of art / is subclass of Work of art / is instance of art genre
2. Art Públic (wd:Q99433743), also known as Barcelona's Public Art: is instance of catalogue / is instance of catalog / is instance of website
3. WikiProject Public Art (wd:Q14942900): Wikimedia subject-area collaboration / is instance of WikiProject
4. Public Art Fund (wd:Q3925277): is instance of non-profit organization / is instance of non-profit organisation / is instance of nonprofit organization / non-profit organisation in the USA / non-profit organization in the USA / is instance of art institution
5. SCAPE Public Art (wd:Q121494264), also known as SCAPE, SCAPE Christchurch Biennial of Art in Public Space: public art organisation in Christchurch, New Zealand / is instance of creative industries / is instance of art institution
6. Auckland Council Art Collection (wd:Q121849545, matched via Auckland Public Art), also known as Auckland Council Public Art, Auckland Council Public Art Collection, Auckland Public Art, Auckland Public Art Collection, Auckland Public Art / He Kohinga Toi, etc.: Art collection owned by the Auckland Council, New Zealand / is instance of art collection
7. Public Art Festival (wd:Q39086476)
8. digital public art (wd:Q5275964): computer-generated or controlled public art / is subclass of digital art / is subclass of public art
9. public art program (wd:Q65245149): is subclass of government programme / is subclass of government program
10. O-Train public art (wd:Q96397005): public art in the Ottawa light rail system

[Assistant] I'll search for the "creator" property and verify "sex or gender" property and the item for "female".

[Tool]
Top 10 property alternatives:
1. collection creator (wd:P6241 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via creator), also known as archival collection creator, archive creator, archive of, archives of, collected by, etc.
2. founded by (wd:P112 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via creator), also known as begun by, co-founded by, cofounded by, co-founder, cofounder, etc.
3. creator (wd:P170 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as art by, artist (non-musical), art work by, artwork by, by, etc.
4. author (wd:P50 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via creator), also known as co-author, creator, maker, playwright, poet, etc.
5. manufacturer (wd:P176 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via maker), also known as assembled by, assembler, brewed by, brewer, builder, etc.
6. contributor to the creative work or subject (wd:P767 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via creative contributor), also known as assistant, collaborator, contributor, contributor(s) to the subject, creative contributor, etc.
7. notable work (wd:P800 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via creator of), also known as artwork, author of, bibliography, books by, creator of, etc.
8. possible creator (wd:P1779 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via creator (possible)), also known as attributed to, creator (possible), P1779
9. cover art by (wd:P736 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via artist), also known as album art by, album artwork by, album artwork designed by, album artwork designer, artist, etc.
10. performer (wd:P175 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via artist), also known as actor, actress, artist, dancer, musical artist, etc.

[Assistant] I'll verify "sex or gender" property and the item for female.

[Tool]
Top 10 property alternatives:
1. sex or gender (wd:P21 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.
2. requires grammatical feature (wd:P5713 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via uses gender), also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case, etc.
3. grammatical gender (wd:P5185 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via gender), also known as gender, P5185
4. sexual orientation (wd:P91 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via sexuality), also known as sexuality, P91
5. has grammatical gender (wd:P5109 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via has genders), also known as grammatical genders, has genders, P5109
6. semantic gender (wd:P10339 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via natural gender), also known as natural gender, P10339
7. male form of label (wd:P3321 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via male gender sense), also known as male form of label (string), male gender sense, masculine form of label, P3321
8. GSSO ID (wd:P9827 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via Gender, Sex, and Sexual Orientation Ontology identifier), also known as Gender, Sex, and Sexual Orientation Ontology ID, Gender, Sex, and Sexual Orientation Ontology identifier, GSSO identifier, P9827
9. unmarried partner (wd:P451 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via sex partner), also known as boyfriend, cohabitant, domestic partner, enbyfriend, girlfriend, etc.
10. female form of label (wd:P2521 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via female gender sense), also known as female form of label (string), female gender sense, feminine form of label, P2521

[Assistant] I'll search for the Wikidata item for London (the city).

[Tool]
Top 10 entity alternatives:
1. London (wd:Q84), also known as Augusta, Big Smoke, Kaerlud, Karelundein, LDN, etc.
2. City of London (wd:Q23311, matched via London), also known as City and County of the City of London, City of London (unparished area), London, Square Mile, the City
3. London (wd:Q92561), also known as City of London, London, ON, London, Ontario
4. London (wd:Q3061911), also known as London, Kentucky, London, KY
5. London (wd:Q1001456), also known as London, OH, London, Ohio
6. London (wd:Q79348), also known as London, AR, London, Arkansas
7. London (wd:Q586353), also known as London, CA, London, California
8. London Recordings (wd:Q935090, matched via London), also known as London, London Records
9. London (wd:Q1749384)
10. London (wd:Q2477346), also known as Ronton

[Assistant]
We need to find public artworks located in London created by female artists. Strategy: find items that are instance of (P31) public art (Q557141) or subclass of public art. But many public artworks might be instances of "sculpture" (Q860861), "statue" (Q860861?), etc. Better approach: find works that are instance of/public art or have "public art" as genre (P136?) Alternatively use "location" properties: located in the administrative territorial entity (P131) London (Q84) or "located in the administrative territorial entity" or "location" (P276) "location of object" or "located in the administrative territorial entity" many options.

We need to get artworks located in London. Use P276 (location) or P131 (located in administrative territorial entity) or P625 coordinates with geographic location? But easiest: restrict where the artwork's location (wdt:P276 or wdt:P131) is London or within London. Also "location city's Q84".

Also need female artists: the creator (P170) whose sex or gender (P21) is female (wd:Q6581072). Find female item Q6581072? Let's search female entity.

[Tool]
Top 10 entity alternatives:
1. female organism (wd:Q43445, matched via female), also known as ♀, female, female animal, female creature, sex — female
2. Female (wd:Q639354)
3. female (wd:Q6581072), also known as f, fairer sex, fem, female character, female gender, etc.
4. The Female (wd:Q18708947, matched via Female), also known as Female
5. Female (wd:Q5442715), also known as Fîmeiru ,(Female)
6. female connector (wd:Q11659367, matched via female), also known as female, female contact, female fastener
7. Female (wd:Q47128284)
8. Female (wd:Q5442717)
9. Female (wd:Q130232348)
10. Female (wd:Q63650079)

[Tool]
Top 10 entity alternatives:
1. statue (wd:Q179700): sculpture primarily conceived as a representational figure / sculpture primarily conceived as a representational figure / sculpture primarily conceived as a representational figure / is subclass of artificial physical object / is instance of genre of sculpture / is subclass of sculpture / is subclass of artefact / is subclass of figure
2. The Statue (wd:Q7766417, matched via Statue), also known as Statue: 1971 film by Rod Amateau / is instance of film
3. Statue (wd:Q22675151): cultural heritage monument D-4-76-180-14 (0) in Teuschnitz, Bavaria / is instance of statue
4. The Statue (wd:Q3989460, matched via Statue), also known as Statue: is instance of short film / 1913 film by Allen Curtis
5. Statue (wd:Q15115742): cultural heritage monument D-4-76-145-60 (0) in Kronach, Bavaria / is instance of statue
6. Statue (wd:Q14530744): cultural heritage monument D-4-76-145-122 (0) in Kronach, Bavaria / is instance of statue
7. Statue (wd:Q12698799): Finnish power/thrash metal band / is instance of musical group
8. Statue (wd:Q110888367): is instance of statue / statue in France
9. Statue (wd:Q115927780): is instance of statue
10. Statue (wd:Q115927723): is instance of statue

[Assistant] I'll test whether Wikidata has items that are instance of "public art" (wd:Q557141) and are located in London (wd:Q84). I'll run a SPARQL query to retrieve some examples.

[Tool] Got no rows and 2 columns

[Tool]
Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| art                                    | artLabel                    | creator        | creatorLabel                                            |
| -------------------------------------- | --------------------------- | -------------- | ------------------------------------------------------- |
| Head of Osiris EA40651 (wd:Q115912650) | Head of Osiris EA40651 (en) | wd:L10         | describe (en)                                           |
| Paddingtonscape (wd:Q123652840)        | Paddingtonscape (en)        | wd:L10         | describe (en)                                           |
| Head of Osiris EA40651 (wd:Q115912650) | Head of Osiris EA40651 (en) | wd:L1000000-S1 | etymology (en)                                          |
| Paddingtonscape (wd:Q123652840)        | Paddingtonscape (en)        | wd:L1000000-S1 | etymology (en)                                          |
| Head of Osiris EA40651 (wd:Q115912650) | Head of Osiris EA40651 (en) | wd:L1000001-S1 | dialectology (en)                                       |
| ...                                    | ...                         | ...            | ...                                                     |
| Paddingtonscape (wd:Q123652840)        | Paddingtonscape (en)        | wd:L1000058-S2 | to produce a coarse whistling sound from breathing (en) |
| Head of Osiris EA40651 (wd:Q115912650) | Head of Osiris EA40651 (en) | wd:L10000-S1   | tongue (en)                                             |
| Paddingtonscape (wd:Q123652840)        | Paddingtonscape (en)        | wd:L10000-S1   | tongue (en)                                             |
| Head of Osiris EA40651 (wd:Q115912650) | Head of Osiris EA40651 (en) | wd:L10000-S2   | language (en)                                           |
| Paddingtonscape (wd:Q123652840)        | Paddingtonscape (en)        | wd:L10000-S2   | language (en)                                           |

[Assistant] I'll search for the Wikidata entities for 'sculpture' and 'statue' to use as possible classes.

[Tool]
Top 10 entity alternatives:
1. art of sculpture (wd:Q11634, matched via sculpture), also known as sculpting, sculpture: branch of the visual arts that operates in three dimensions / branch of the visual arts that operates in three dimensions / is subclass of artistic creation / is instance of type of arts / is instance of form of art / is instance of art genre / is subclass of sculpture / is instance of hobby
2. sculpture (wd:Q860861), also known as piece of sculpture, sculptural work, sculptures: is subclass of artificial physical object / is instance of type of work of art / is subclass of plastic artwork / three-dimensional work of art / three-dimensional work of art / three-dimensional work of art / is subclass of artefact
3. Sculpture (wd:Q2924134): 2005 orchestral composition by Magnus Lindberg / is instance of musical work/composition
4. Sculpture (wd:Q18352932): sculpture by Philolaos at Lyon / is instance of sculpture
5. sculpture (wd:Q17310537): manufacture of sculptures in arts and crafts / is instance of type of arts / is subclass of plastic arts / is instance of handicraft / is instance of Handicraft / is instance of art genre
6. Sculpture (wd:Q7439454): feature on the shells of mollusks
7. Sculpture (wd:Q110301451): public artwork by Auke de Vries in Haarlem, the Netherlands / is instance of sculpture
8. sculpture (wd:Q110551761): sculpture by Dietrich Ebert in Berlin, Germany / is instance of sculpture
9. sculpture (wd:Q109452631): sculpture by Ingeborg Hunzinger on the grave of Herbert and ... and Friedrichswerdersche communities in Berlin-Mitte, Germany / is instance of sculpture
10. sculpture (wd:Q108438352): sculpture by Christof Glamm in Berlin-Hellersdorf, Germany / is instance of sculpture

[Assistant] Next, I need to find artworks in London whose creators are female. I'll craft a query to find items that are instance of sculpture OR statue OR public art and are located in London, with creator whose P21 is female (wd:Q6581072). I'll include labels optionally. Then execute and inspect results.

[Tool]
Got 7 rows and 4 columns:
| art                                                                                | artLabel                                                                       | creator                                | creatorLabel                 |
| ----------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------ | -------------------------------------- | ---------------------------- |
| Leonide Massine waiting for his cue to go on stage in 'On With the Dance' (wd:Q108738598) | Leonide Massine waiting for his cue to go on stage in 'On With the Dance' (en) | Gluck (wd:Q5572307)                    | Gluck (en)                   |
| Statue of Laurence Olivier, London (wd:Q110819408)                                        | Statue of Laurence Olivier, London (en)                                        | Angela Conner (wd:Q4762412)            | Angela Conner (en)           |
| The End (sculpture) (wd:Q118697934)                                                       | The End (sculpture) (en)                                                       | Heather Phillipson (wd:Q19517821)      | Heather Phillipson (en)      |
| The Tuckshop Tanner (wd:Q122678557)                                                       | The Tuckshop Tanner (en)                                                       | Jessica Wetherly (wd:Q122678392)       | Jessica Wetherly (en)        |
| Reach (wd:Q123049287)                                                                     | Reach (en)                                                                     | Pixie Mudge Massey Shaw (wd:Q90518856) | Pixie Mudge Massey Shaw (en) |
| Portrait of Pope Gregory XIII (wd:Q62108564)                                              | Portrait of Pope Gregory XIII (en)                                             | Lavinia Fontana (wd:Q236050)           | Lavinia Fontana (en)         |
| Energy Sculpture London (wd:Q63183611)                                                    | Energy Sculpture London (en)                                                   | Tia Anna Paynich (wd:Q61927540)        | Tia Anna Paynich (en)        |

[Tool]
Top 10 entity alternatives:
1. mural (wd:Q219423), also known as murals: piece of artwork painted or applied directly on a large permanent surface / is instance of form of art / is subclass of wall art / is subclass of painting
2. Mural (wd:Q581457): 2011 film by Gordon Chan / is instance of film
3. Ioka (wd:Q63125384, matched via Mural), also known as Ioka, UT, Ioka, Utah, Mural: unincorporated community in Duchesne County, Utah, United States / is instance of unincorporated community in the United States
4. Vanniyil K. Muralidharan (wd:Q6159588, matched via Mural.), also known as Mural., V.K. Muralidharan: has occupation botanist / is instance of human / botanist
5. mural (wd:Q124157307), also known as mural monument, mural painting: type of monument in North Korea / is subclass of monument / is subclass of mosaic
6. Mural (wd:Q122850625): 2009 painting by Julie Mehretu / is instance of mural
7. Mural (wd:Q113449543), also known as mural.co: virtual whiteboard software developed by US-based Tactivos, Inc. / is instance of distributed collaboration software
8. Mural (wd:Q35488885): is instance of wadi / Wadi of Somalia
9. Mural (wd:Q57552205): Bas-relief at the Jerusalem Central Post Office / is instance of sculpture
10. Mural (wd:Q93188265): village in Bhalki tehsil, Bidar district / is instance of village in India

[Tool]
Top 10 entity alternatives:
1. work of art (wd:Q838948), also known as art, artistic work, artistic works, art object, art objects, etc.: aesthetic item or artistic creation / is subclass of creative work / is instance of concept
2. creative work (wd:Q17537576, matched via work of art), also known as artwork, creative works, work, work of art, works: distinct artistic creation such as artwork, literature, music, and paintings / distinct artistic creation such as artwork, literature, music, and paintings / is subclass of intellectual work / artistic creation
3. Work of Art (wd:Q3569928): is instance of single / single by Demi Lovato
4. Work of Art (wd:Q9377828): is instance of musical work/composition / 2007 song recorded by Måns Zelmerlöw
5. Work of Art (wd:Q119805706): 2023 studio album by Asake / is instance of album
6. Work of Art (wd:Q112039211): is instance of literary work / novel by Sinclair Lewis
7. The Shearwater (wd:Q106768718, matched via work of art), also known as work of art: is instance of lithograph / is instance of print / Lithograph
8. Lost in Biliterate and Trilingual (wd:Q106766481, matched via work of art), also known as work of art: is instance of Work of art / is instance of work of art / is instance of sculpture / Porcelain art
9. A Way of Organising a Pig (wd:Q106766811, matched via work of art), also known as work of art: is instance of sculpture / sculpture
10. Art, work of (wd:Q103890914): is instance of encyclopaedic article / is instance of encyclopedia article / encyclopedia article

[Assistant]
The earlier query returned 7 rows; some items are not clearly public artworks in London (e.g., portrait of Pope Gregory XIII is a painting, likely in a museum). Need to ensure "public artwork" and located in London public spaces. We should refine: require that artwork is instance of public art (Q557141) or has "commemorates" or "monument" types: memorial (Q4989906), monument (Q4989906?), "public art" may be subclass for some. Let's search for items with property: 'located in the administrative territorial entity' P131 value Q84 OR 'location' P276 Q84. Also ensure it's instance of "public art" or subclass of 'statue' 'memorial' 'monument' 'sculpture' but also require it's "located in public space"? There's property 'location' that could be London coordinates.

Alternatively, find artworks in London with creators female and then filter to those that are public art by checking if they have 'public art' as instance of or are 'monument' or 'sculpture' and not inside museums (avoid P195 "collection").

Let's inspect one example from results: Statue of Laurence Olivier, London (wd:Q110819408) — creator Angela Conner female. That seems valid. The End (wd:Q118697934) by Heather Phillipson — I think it's public installation in Trafalgar Square. Good.

We need to list public artworks located in London created by female artists, include artwork's creator. So query should find items where creator is human with P21 female, item located in London (P276 or P131 or P291?), and item is instance of sculpture/statue/public art/monument/mural/memorial/sculpture work of art. Use a broad set of types: Q557141 (public art), Q860861 (sculpture), Q179700 (statue), Q4989906 (memorial), Q4989906 seems 'memorial' let's search.

[Tool]
Top 10 entity alternatives:
1. Memorial (wd:Q851563), also known as Memorial Human Rights Centre, Memorial International: Russian historical and civil rights society / is instance of human rights organization / is instance of human rights organisation / is instance of Umbrella organization / is instance of umbrella organization / is instance of umbrella organisation / is instance of historical society
2. memorial (wd:Q5003624), also known as memorial site, remembrance: area or object, smaller than a monument, which serves as a focus for memory of something / object which serves as a focus for memory of something / is subclass of memory space / is subclass of monument
3. memorial (wd:Q1417046), also known as obligatory memorial: liturgical rank according to the General Roman Calendar of 1969 / is subclass of liturgical rank of the Roman rite
4. Lord's Evening Meal (wd:Q2638602, matched via Memorial), also known as Memorial, Memorial of Christ's Death: day of observance for Jehovah's Witnesses commemorating the death of Jesus, the only religious holiday for that denomination / is instance of religious and cultural festive day / is instance of holiday
5. Memorial (wd:Q1829690): is instance of album / Moonspell album
6. Mémorial (wd:Q6950088), also known as Memorial: official gazette of the Grand Duchy of Luxembourg / is instance of registration authority / is instance of periodical / is instance of gazette / is instance of Gazette
7. OBD Memorial (wd:Q1995810, matched via Memorial), also known as Memorial: Russian government database project / is instance of website
8. Memorial (wd:Q15104768): Russian Circles album / is instance of album
9. .memorial (wd:Q20574951): is instance of top-level domain / top-level domain
10. Memorial (wd:Q6815335): episode of Star Trek: Voyager (S6 E14) / is instance of Star Trek episode

[Assistant]
I will craft a SPARQL query selecting artworks (?art) where:
- ?art wdt:P170 ?creator.
- ?creator wdt:P21 wd:Q6581072 (female).
- ?art has location in London: (?art wdt:P276 wd:Q84) OR (?art wdt:P131 wd:Q84) OR (?art wdt:P131/wdt:P131* wd:Q84) to include nested administrative entities? But QLever might not support property path? It does. Use P131*? QLever supports property paths. Use ?art wdt:P131/wdt:P131* wd:Q84 maybe. But safer: use P276 or P131 or coordinate location within bounding box? We'll use (wdt:P276 wd:Q84) OR (wdt:P131 wd:Q84) OR (?art wdt:P276 ?loc . ?loc wdt:P131 wd:Q84) But simpler: use P276 or P131.

- Also require ?art wdt:P31 ?type and restrict type to some list: public art (Q557141), sculpture (Q860861), statue (Q179700), memorial (Q5003624), mural (Q219423), monument (Q4989906? need correct id). Let's search 'monument'.

[Tool]
Top 10 entity alternatives:
1. monument (wd:Q4989906), also known as monuments: type of structure either explicitly created to commemorate a person or important event, or used for that purpose / type of structure either explicitly created to commemorate a person or important event, or used for that purpose / imposing structure created to commemorate a person or event, or used for that purpose / is subclass of architectural structure / is subclass of Architectural structure / is subclass of built structure / is subclass of work of art / is subclass of Work of art / is subclass of statue
2. Monument (wd:Q1003709), also known as Monument, CO, Monument, Colorado: town in El Paso County, Colorado, United States / is instance of town in the United States
3. Monument (wd:Q3458939), also known as Monument, OR, Monument, Oregon: is instance of city of Oregon / city in Oregon, USA
4. Monument (wd:Q961421), also known as Monument, PA, Monument, Pennsylvania: census designated place in Centre County, Pennsylvania, United States / is instance of unincorporated community in the United States / is instance of census-designated place in the United States / is instance of census-designated place
5. Monument (wd:Q6022902), also known as Monument, New Mexico, Monument, NM: is instance of census-designated place in the United States / human settlement in New Mexico, United States of America / is instance of census-designated place / is instance of human settlement
6. Monument (wd:Q3862571): 1983 live album by Ultravox / is instance of album
7. Monument (wd:Q3323226): is instance of album / album by Miss May I / album by Miss May I / album by Miss May I
8. Monument (wd:Q105123633): is instance of musical work/composition / 2021 single by KEiiNO
9. Monument (wd:Q21490336): is instance of mountain
10. Monument (wd:Q6906784), also known as Monument, Kansas, Monument, KS: is instance of unincorporated community in the United States / unincorporated community in Logan County, Kansas

[Assistant]
I'll build a query with types: Q557141 Q860861 Q179700 Q5003624 Q219423 Q4989906 Q838948 (work of art) maybe Q17537576 (creative work). But including Q838948 might pull many indoor artworks. But the location filter to London should keep it to public ones. However portrait painting located in London could be in museums (e.g. National Gallery), but these would still have location London. To reduce museum-held works, exclude works that have 'collection' (P195) some museum? Use FILTER NOT EXISTS {?art wdt:P195 ?collection } to avoid museum items. That should exclude works in museum collections.

Let's craft the SPARQL with optional rdfs:label for art and creator, and return distinct pairs sorted by art label. Then execute.

[Tool]
Got 6 rows and 4 columns:
| art                                                | artLabel                                | creator                                | creatorLabel                 |
| -------------------------------------------------- | --------------------------------------- | -------------------------------------- | ---------------------------- |
| Energy Sculpture London (wd:Q63183611)             | Energy Sculpture London (en)            | Tia Anna Paynich (wd:Q61927540)        | Tia Anna Paynich (en)        |
| Reach (wd:Q123049287)                              | Reach (en)                              | Pixie Mudge Massey Shaw (wd:Q90518856) | Pixie Mudge Massey Shaw (en) |
| Sadako Sasaki Monument (wd:Q129719331)             | Sadako Sasaki Monument (en)             | Hazel Reeves (wd:Q59779567)            | Hazel Reeves (en)            |
| Statue of Laurence Olivier, London (wd:Q110819408) | Statue of Laurence Olivier, London (en) | Angela Conner (wd:Q4762412)            | Angela Conner (en)           |
| The End (sculpture) (wd:Q118697934)                | The End (sculpture) (en)                | Heather Phillipson (wd:Q19517821)      | Heather Phillipson (en)      |
| The Tuckshop Tanner (wd:Q122678557)                | The Tuckshop Tanner (en)                | Jessica Wetherly (wd:Q122678392)       | Jessica Wetherly (en)        |

[Assistant]
Now I'll run a refined SPARQL query that:
- finds works with a creator whose sex or gender is female (P21 = Q6581072),
- whose location (P276) or administrative territorial entity (P131) is London (Q84) or is located in a place whose P131 chain leads to London,
- whose instance (P31) is one of several artwork/public-art types (public art, sculpture, statue, memorial, mural, monument, work of art),
- and excludes works that are in a collection (P195) to avoid museum-held pieces.

I'll request English labels for the artwork and the creator. I will now execute that query.

[Tool]
Got 7 rows and 4 columns:
| art                                                | artLabel                                | creator                                | creatorLabel                 |
| -------------------------------------------------- | --------------------------------------- | -------------------------------------- | ---------------------------- |
| Energy Sculpture London (wd:Q63183611)             | Energy Sculpture London (en)            | Tia Anna Paynich (wd:Q61927540)        | Tia Anna Paynich (en)        |
| House (wd:Q17146854)                               | House (en)                              | Rachel Whiteread (wd:Q454041)          | Rachel Whiteread (en)        |
| Reach (wd:Q123049287)                              | Reach (en)                              | Pixie Mudge Massey Shaw (wd:Q90518856) | Pixie Mudge Massey Shaw (en) |
| Sadako Sasaki Monument (wd:Q129719331)             | Sadako Sasaki Monument (en)             | Hazel Reeves (wd:Q59779567)            | Hazel Reeves (en)            |
| Statue of Laurence Olivier, London (wd:Q110819408) | Statue of Laurence Olivier, London (en) | Angela Conner (wd:Q4762412)            | Angela Conner (en)           |
| The End (sculpture) (wd:Q118697934)                | The End (sculpture) (en)                | Heather Phillipson (wd:Q19517821)      | Heather Phillipson (en)      |
| The Tuckshop Tanner (wd:Q122678557)                | The Tuckshop Tanner (en)                | Jessica Wetherly (wd:Q122678392)       | Jessica Wetherly (en)        |

[Assistant] I'll now provide the final SPARQL query (the one I executed) and the answer list derived directly from its results.

[Tool] Stopping