PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?instrument WHERE {
  wd:Q154216 wdt:P1303 ?instrument
}

Cat Stevens plays the following instruments: voice (wd:Q17172850), bass guitar (wd:Q46185), piano (wd:Q5994), and guitar (wd:Q6607).

[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 http://amur:7001

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 instruments does Cat Stevens play?

[Assistant]
Let's break down the question:

1. The main entity is "Cat Stevens", a musician.
2. The property of interest is "instruments played" or similar.
3. The answer should be a list of instruments (as Wikidata IRIs), optionally with labels.

First, I will search for the entity "Cat Stevens" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Cat Stevens, also known as Yusuf Islam, Yusuf Islam (Cat Stevens), Yusuf/Cat Stevens, Yusuf (wd:Q154216): British musician (born 1948), singer-songwriter, recording artist, guitarist, musician, composer, singer
2. Cat Stevens (wd:Q123717389): 2001 box set by Cat Stevens
3. Catherine Crowe, also known as Catherine Ann Crowe, Mrs. Crowe, Catherine Stevens Crowe, Catherine Stevens (wd:Q2537956): English novelist, story writer, and playwright; spiritualist and spirit story collector (1790–1872), translator, writer
4. Catherine Stevens (wd:Q14918517): Belgian athletics competitor, athletics competitor
5. Catrin Stevens (wd:Q47124278): historian, editor, writer
6. Catherine Stevens (wd:Q96292350)
7. Catherine Hamersly, also known as Catherine Stevens, Kate Hamersly, Kate Stevens (wd:Q118198771): (1823-1893)
8. Barbara Stanwyck, also known as Ruby Stevens, Ruby Catherine Stevens (wd:Q94002): American actress (1907–1990), television actor, screenwriter, stage actor, film actor, actor, model
9. Catasetum stevensonii (wd:Q15443245): species of plant
10. Catherine Octavia Stevens (wd:Q105812567): British astronomer (1865–1959), astronomer

[Assistant]
The correct entity for Cat Stevens the musician is wd:Q154216.

Next, I need to find the property in Wikidata that relates to "instruments played" by a musician. I will search for properties related to "instrument" for this entity.

[Tool]
Top 10 property alternatives:
1. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as wdt/p): musical instrument that a person plays or teaches or used in a music occupation, uses
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. 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)
4. voice type, also known as range of voice, register, tessitura, type of voice, vocal type (wd:P412 as wdt/p): person's voice type. expected values: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass (and derivatives)
5. Pitchfork artist ID, also known as Pitchfork, Pitchfork ID (wd:P8819 as wdt/p): identifier for musical artists on the Pitchfork website
6. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
7. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
9. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
10. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Assistant]
The relevant property for "instruments played" is "instrument" (wdt:P1303).

Now, I will construct a SPARQL query to find all instruments (as IRIs) that Cat Stevens (wd:Q154216) plays, and optionally retrieve their labels.

[Tool]
Got 4 rows and 2 columns:
| instrument              | instrumentLabel  |
| ----------------------- | ---------------- |
| voice (wd:Q17172850)    | voice (en)       |
| bass guitar (wd:Q46185) | bass guitar (en) |
| piano (wd:Q5994)        | piano (en)       |
| guitar (wd:Q6607)       | guitar (en)      |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?org ?orgLabel WHERE {
  ?org wdt:P452 wd:Q2401742 .
  ?org wdt:P159 ?hq .
  ?hq wdt:P17 wd:Q31 .
  OPTIONAL {
    ?org rdfs:label ?orgLabel FILTER ( lang( ?orgLabel ) = "en" )
  }
}

Got 10 rows and 2 columns:
| org                                    | orgLabel                    |
| -------------------------------------- | --------------------------- |
| Skyline Communications (wd:Q131334717) | Skyline Communications (en) |
| Proximus (wd:Q2005282)                 | Proximus (en)               |
| Orange Belgium (wd:Q24038997)          | Orange Belgium (en)         |
| SWIFT (wd:Q257597)                     | SWIFT (en)                  |
| TV Vlaanderen (wd:Q2743236)            | TV Vlaanderen (en)          |
| Proximus Group (wd:Q566857)            | Proximus Group (en)         |
| Telenet (wd:Q616340)                   | Telenet (en)                |
| Voxbone (wd:Q7942372)                  | Voxbone (en)                |
| BASE (wd:Q809824)                      | BASE (en)                   |
| Mobistar (wd:Q917050)                  | Mobistar (en)               |

The telecommunications organizations located in Belgium are: Skyline Communications, Proximus, Orange Belgium, SWIFT, TV Vlaanderen, Proximus Group, Telenet, Voxbone, BASE, and Mobistar.

[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 http://amur:7001

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 telecommunications organizations are located in Belgium?

[Assistant]
First, I need to identify the following:
1. The entity for Belgium.
2. The property for "located in" or "location".
3. The class or entity for "telecommunications organizations".

I'll start by searching for the entity "Belgium".

[Tool]
Top 10 entity alternatives:
1. Belgium, also known as Kingdom of Belgium, BEL, be, BE, 🇧🇪 (wd:Q31): country in western Europe
2. Belgium, also known as Belgium, IL, Belgium, Illinois (wd:Q2281631): village in Illinois, United States
3. Belgium, also known as Belgium, WI (wd:Q2025327): village in Ozaukee County, Wisconsin
4. Belgium (wd:Q1658699): town in Wisconsin, United States
5. Belgium, also known as Belgium, West Virginia, Belgium, WV (wd:Q2894385): unincorporated community in West Virginia, United States
6. Belgium in the Eurovision Young Musicians, also known as Belgium (wd:Q14849447): Belgium in youth classical music contest
7. Belgium in the long nineteenth century, also known as Belgium (wd:Q16951058): history of Belgium from 1789 to 1914
8. Belgium (wd:Q106879226): family name
9. Belgium (wd:Q109469128): 2019 single by Lil Peep
10. Belgium (wd:Q19072874): poem by Florence Earle Coates

[Assistant]
The correct entity for Belgium (the country) is wd:Q31.

Next, I need to identify the property for "located in" or "location". I'll search for properties related to "located in".

[Tool]
Top 10 property alternatives:
1. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
2. 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): person or organization occupying property, used by
4. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
5. adjacent building, also known as next to, neighboring building, located next to, adjoining building (wd:P3032 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): building adjacent to the item, connects with
6. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
7. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
8. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the narrative of the work is set in this location, significant place, depicts
9. 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): 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
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

[Assistant]
The most relevant properties for organizations located in Belgium are:
- "headquarters location" (wd:P159): for the city/town where an organization's headquarters is located.
- "located in the administrative territorial entity" (wd:P131): for administrative location.

For organizations, "headquarters location" is typically more precise, but both could be useful. Next, I need to identify the class or entity for "telecommunications organizations".

I'll search for "telecommunications organization" in Wikidata entities.

[Tool]
Top 10 entity alternatives:
1. Intelsat, also known as International Telecommunications Satellite Organization, International Telecommunications Satellite Corporation, Intelsat S.A. (wd:Q778126): Luxembourgish communications satellite services provider
2. OTE, also known as Organismos Tilepikinonion Ellados AE, HTO, Hellenic Telecommunications Organization S.A. (wd:Q206678): Greek telecommunication company
3. International Telecommunications Satellite Organization, also known as Agreement relating to the Intern...nications Satellite Organization (wd:Q15546770): intergovernmental organization
4. European Telecommunications Satellite Organization, also known as Eutelsat IGO (wd:Q47537350): European intergovernmental organisation
5. Globalization, International Organizations, and Telecommunications (wd:Q60140176): scholarly article by Kirsten Rodine-Hardy published September 2015 in Review of Policy Research
6. Intelsat headquarters, also known as 3400 International Drive, 4000 Connecticut Avenue, INTELSAT Headquarter Building, INTELSAT Headquarters Building, International Telecommunications...ganization Headquarters Building (wd:Q6044259): space age style building in Washington, DC
7. organization, also known as organizations, organization in sociology, organisation, institution, organisations (wd:Q43229): social entity established to meet needs or pursue goals
8. .org, also known as dot-org, .organization, .org domain (wd:Q32131): generic top-level domain
9. The Organization, also known as Organization (wd:Q1986084): 1971 film by Don Medford
10. telecommunications, also known as telephone industry, telecoms, telecommunications sector, telecommunications market, ISIC 61 (wd:Q2401742): telecommunications industry in general or providers of telecommunications networks and services

[Assistant]
There is no direct class called "telecommunications organization", but there is an entity for "telecommunications" (wd:Q2401742), which refers to the telecommunications industry or providers of telecommunications networks and services.

To find organizations in this sector, I should look for organizations whose industry (property) is "telecommunications" (wd:Q2401742).

I'll search for the property related to "industry" to confirm its property ID.

[Tool]
Top 10 property alternatives:
1. industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): specific industry of company or organization, part of
2. employment by economic sector, also known as employment by industry, employment by sector (wd:P2297 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): employment divided by sector
3. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, producer of (wd:P1056 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
4. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
5. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): specialization of a person or organization; see P106 for the occupation, interested in
6. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): place where the item was conceived or made; where applicable, location of final assembly, significant place
7. raw material processed, also known as consumed resource, commodity, raw material used, natural resource used, material used (wd:P10672 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): raw or intermediate material, or a natural resource converted or...energy (not to be confused with P186 that is used with products)
8. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
9. SIC code, also known as SIC industry classification, Standard Industrial Classification code (wd:P3242 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): U.S. Standard Industrial Classification number for industries and economic activities
10. occupation, also known as job, work, vocation, profession, employment (wd:P106 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

[Assistant]
The property for "industry" is wd:P452.

To summarize, the plan is:
- Find organizations (?org) where:
  - ?org wdt:P452 wd:Q2401742 (industry is telecommunications)
  - ?org wdt:P159 or wdt:P131 wd:Q31 (headquarters location or located in Belgium)

I'll start by writing a SPARQL query that finds organizations whose industry is telecommunications and whose headquarters location or administrative location is Belgium. I'll also try to get optional labels for readability.

[Tool]
Got 1 row and 1 column:
| org                |
| ------------------ |
| SWIFT (wd:Q257597) |

[Tool]
Got 10 rows and 1 column:
| org                                    |
| -------------------------------------- |
| Skyline Communications (wd:Q131334717) |
| Proximus (wd:Q2005282)                 |
| Orange Belgium (wd:Q24038997)          |
| SWIFT (wd:Q257597)                     |
| TV Vlaanderen (wd:Q2743236)            |
| Proximus Group (wd:Q566857)            |
| Telenet (wd:Q616340)                   |
| Voxbone (wd:Q7942372)                  |
| BASE (wd:Q809824)                      |
| Mobistar (wd:Q917050)                  |

[Tool]
Got 10 rows and 2 columns:
| org                                    | orgLabel                    |
| -------------------------------------- | --------------------------- |
| Skyline Communications (wd:Q131334717) | Skyline Communications (en) |
| Proximus (wd:Q2005282)                 | Proximus (en)               |
| Orange Belgium (wd:Q24038997)          | Orange Belgium (en)         |
| SWIFT (wd:Q257597)                     | SWIFT (en)                  |
| TV Vlaanderen (wd:Q2743236)            | TV Vlaanderen (en)          |
| Proximus Group (wd:Q566857)            | Proximus Group (en)         |
| Telenet (wd:Q616340)                   | Telenet (en)                |
| Voxbone (wd:Q7942372)                  | Voxbone (en)                |
| BASE (wd:Q809824)                      | BASE (en)                   |
| Mobistar (wd:Q917050)                  | Mobistar (en)               |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?award ?awardLabel WHERE {
  wd:Q319308 wdt:P166 ?award .
  OPTIONAL {
    ?award rdfs:label ?awardLabel .
    FILTER ( LANG( ?awardLabel ) = "en" )
  }
}

Got 8 rows and 2 columns:
| award                                                              | awardLabel                                               |
| ------------------------------------------------------------------ | -------------------------------------------------------- |
| Guggenheim Fellowship (wd:Q1316544)                                | Guggenheim Fellowship (en)                               |
| Albertus-Magnus professorate (wd:Q2639529)                         | Albertus-Magnus professorate (en)                        |
| Barwise Prize (wd:Q4865981)                                        | Barwise Prize (en)                                       |
| Fellow of the American Academy of Arts and Sciences (wd:Q52382875) | Fellow of the American Academy of Arts and Sciences (en) |
| National Book Award (wd:Q572316)                                   | National Book Award (en)                                 |
| CSS Fellow (wd:Q59766571)                                          | CSS Fellow (en)                                          |
| Fellow of the Committee for Skeptical Inquiry (wd:Q61745062)       | Fellow of the Committee for Skeptical Inquiry (en)       |
| Pulitzer Prize for General Nonfiction (wd:Q784589)                 | Pulitzer Prize for General Nonfiction (en)               |

Douglas Hofstadter has won the following awards (with their Wikidata IRIs):
- Guggenheim Fellowship (wd:Q1316544)
- Albertus-Magnus professorate (wd:Q2639529)
- Barwise Prize (wd:Q4865981)
- Fellow of the American Academy of Arts and Sciences (wd:Q52382875)
- National Book Award (wd:Q572316)
- CSS Fellow (wd:Q59766571)
- Fellow of the Committee for Skeptical Inquiry (wd:Q61745062)
- Pulitzer Prize for General Nonfiction (wd:Q784589)

[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 http://amur:7001

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 awards did Douglas Hofstadter win?

[Assistant]
Let's break down the question:

1. The user wants to know which awards Douglas Hofstadter has won.
2. I need to identify the entity for Douglas Hofstadter in Wikidata.
3. Then, I need to find the property that links a person to awards they have received.
4. Finally, I will construct a SPARQL query to retrieve the awards.

First, I will search for "Douglas Hofstadter" in Wikidata to get his entity.

[Tool]
Top 10 entity alternatives:
1. Douglas Hofstadter, also known as Douglas R. Hofstadter, Douglas Richard Hofstadter (wd:Q319308): American physicist, computer scientist and  professor of cognitive science, university teacher, computer scientist, philosopher, physicist, writer
2. Douglas, also known as Doolish, Douglas, Isle of Man (wd:Q18569): capital city of the Isle of Man
3. Douglas, also known as Douglas, Arizona, Douglas, AZ (wd:Q79878): city in Cochise County, Arizona, United States
4. Douglas, also known as Douglas, Wyoming, Douglas, WY (wd:Q983438): city in Converse County, Wyoming, United States
5. Douglas, also known as Douglas Aircraft Company (wd:Q651778): 1921-1967 aerospace manufacturer in the United States
6. Douglas, also known as Douglas, GA, Douglas, Georgia (wd:Q1004791): city in Coffee County, Georgia, United States
7. Douglas, also known as Douglas, AL (wd:Q66753): town in Marshall County, Alabama, in the United States
8. Douglas, also known as Douglas Pereira, Douglas Pereira dos Santos (wd:Q1988686): Brazilian association football player, born 1990, association football player
9. Douglas, also known as Douglas, MI, Douglas, Michigan (wd:Q2172413): city in Michigan, United States
10. Douglas, also known as Douglas, ND, Douglas, North Dakota (wd:Q2226686): city in Ward County, North Dakota, United States

[Assistant]
The correct entity for Douglas Hofstadter is wd:Q319308.

Next, I need to find the property in Wikidata that links a person to awards they have received. I will search for properties related to "award".

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): award or recognition received by a person, organization or creative work
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): person or organization who grants an award, certification, grant, or role
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
4. grants, also known as awards, bestows, confers, gives out (wd:P5460 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): confers degree, honor, award, prize, title, certificate or medal denoting achievement to a person or organization
5. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
6. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): qualifier of award received (P166) to specify the work that an award was given to the creator for
7. award rationale, also known as award citation, rationale, award reason (wd:P6208 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.
8. nominee, also known as award nominee (wd:P2453 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): qualifier used with “nominated for” to specify which person or organization was nominated
9. eligible recipient, also known as eligible recipient for award, type of recipient who is eligible for this award (wd:P8115 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): party that is eligible to receive something, like an award, grant or prize
10. awarded for period (wd:P4566 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): period during which the achievement must have been made to be eligible for an award

[Assistant]
The most relevant property for awards received by a person is "award received" (wdt:P166).

Now, I will construct a SPARQL query to retrieve the awards received by Douglas Hofstadter (wd:Q319308) using the property "award received" (wdt:P166). I will also try to include the labels of the awards for readability, but the main result will be the IRIs.

Here is the query I will use:
```sparql
SELECT ?award ?awardLabel WHERE {
  wd:Q319308 wdt:P166 ?award .
  OPTIONAL { ?award rdfs:label ?awardLabel . FILTER(LANG(?awardLabel) = "en") }
}
```
I will execute this query to get the results.

[Tool]
Got 8 rows and 2 columns:
| award                                                              | awardLabel                                               |
| ------------------------------------------------------------------ | -------------------------------------------------------- |
| Guggenheim Fellowship (wd:Q1316544)                                | Guggenheim Fellowship (en)                               |
| Albertus-Magnus professorate (wd:Q2639529)                         | Albertus-Magnus professorate (en)                        |
| Barwise Prize (wd:Q4865981)                                        | Barwise Prize (en)                                       |
| Fellow of the American Academy of Arts and Sciences (wd:Q52382875) | Fellow of the American Academy of Arts and Sciences (en) |
| National Book Award (wd:Q572316)                                   | National Book Award (en)                                 |
| CSS Fellow (wd:Q59766571)                                          | CSS Fellow (en)                                          |
| Fellow of the Committee for Skeptical Inquiry (wd:Q61745062)       | Fellow of the Committee for Skeptical Inquiry (en)       |
| Pulitzer Prize for General Nonfiction (wd:Q784589)                 | Pulitzer Prize for General Nonfiction (en)               |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?areaCode WHERE {
  wd:Q64 wdt:P473 ?areaCode
}

Got 1 row and 1 column:
| areaCode |
| -------- |
| 030      |

The area code of Berlin is 030.

[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 http://amur:7001

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

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

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

[User] What is the area code of Berlin?

[Assistant]
Let's break down the question:

1. The user is asking for the area code of Berlin.
2. "Berlin" is a city, so I need to find its entity in Wikidata.
3. "Area code" likely refers to the telephone area code, so I need to find the relevant property for area code.

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

[Tool]
Top 10 entity alternatives:
1. Berlin, also known as Berlin (Germany), Berlin, Germany, DE-BE (wd:Q64): federated state, capital and largest city of Germany
2. Berlin, also known as Berlin, New Hampshire, Berlin, NH (wd:Q821244): city in Coos County, New Hampshire, United States
3. Lincoln, also known as Berlin, Lincoln, IA, Lincoln, Iowa (wd:Q1930098): city in Iowa, United States
4. Berlin (wd:Q614184): town in Maryland, United States
5. Berlin, also known as Berlin, New Jersey, Long-a-Coming, New Jersey, Berlin, NJ (wd:Q1086827): borough in Camden County, New Jersey, United States
6. Berlin, also known as Berlin, GA, Berlin, Georgia, USA, Berlin, USA (wd:Q2345711): town in Colquitt County, Georgia, United States
7. Berlin, also known as Berlin, WI, Berlin, Wisconsin (wd:Q1569850): city in Green Lake and Waushara counties, Wisconsin, United States
8. Berlin, also known as Berlin, ND, Berlin, North Dakota (wd:Q821229): city in North Dakota
9. Berlin (wd:Q2504681): village in Illinois, U.S.
10. Berlin (wd:Q821198): American synthpop band

[Assistant]
The most relevant entity for Berlin, Germany is wd:Q64.

Next, I need to find the property for "area code" (specifically telephone area code). I'll search for the property "area code" in Wikidata.

[Tool]
Top 10 property alternatives:
1. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): identifier dedicated to subject city by the area communication network
2. CDDA designationTypeCode, also known as designated area code, CDDA type ID, CDDA type, CDDA, CDDA code (wd:P9800 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): code for the national designation type used in the Common Database on Designated Areas inventory (CDDA)
3. country calling code, also known as calling code, country code, country dialing code, dialing code, phone code (wd:P474 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): identifier for a country - dialed on phone after the international dialing prefix (precede value by +)
4. location code (wd:P13262 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): an assigned code for the location (physical or virtual) within a given system (please use more specific property if available), catalog code
5. mobile country code, also known as ITU-T country identifier, MCC (wd:P2258 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): identifier for countries in ITU-T Recommendation E.212 for use in describing mobile networks
6. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): identifier assigned by postal authorities for the subject area or building
7. official number of town quarter, also known as Chak number, district number, region number, village number (wd:P5901 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): official number for the administrative division or section, region or part of a town
8. ATC code, also known as ATCC (wd:P267 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): therapeutic chemical identification code per ATC
9. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
10. station code, also known as station identifier, station number, station numbering, telegraph code (wd:P296 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): generic identifier for a railway station, when possible, use spe... certain coding system (e.g. P1378 for China Railway TMIS codes), location code

[Assistant]
The most relevant property for telephone area code is "local dialing code" (wd:P473), which is also known as "area code".

Now, I will construct a SPARQL query to find the area code(s) (local dialing code) for Berlin (wd:Q64) using property wd:P473.

[Tool]
Got 1 row and 1 column:
| areaCode |
| -------- |
| 030      |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?company ?website ?companyLabel WHERE {
  ?company wdt:P31 wd:Q783794 ; wdt:P1128 ?employees ; wdt:P856 ?website .
  FILTER ( ?employees > 500000 ) OPTIONAL {
    ?company rdfs:label ?companyLabel FILTER ( lang( ?companyLabel ) = "en" )
  }
}

The companies with more than 500,000 employees and their websites are:
- DHL Group: https://www.dpdhl.com
- DHL: https://www.dhl.com

[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 http://amur:7001

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] Give me the websites of companies with more than 500000 employees.

[Assistant]
First, I need to identify:
1. The entity for "company" in Wikidata.
2. The property for "number of employees".
3. The property for "website".

Then, I need to find companies (instances of "company") with more than 500,000 employees and retrieve their websites.

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

[Tool]
Top 10 entity alternatives:
1. company, also known as co., firm (wd:Q783794): legal entity representing an association of people, whether natural, legal or a mixture of both, with a specific objective
2. company, also known as company (military unit), military company (wd:Q102538): military unit size designation
3. enterprise, also known as business enterprise, firm, company (wd:Q6881511): organizational unit producing goods or services, which benefits ...n-making, especially for the allocation of its current resources
4. Company (wd:Q225093): 2002 film directed by Ram Gopal Varma
5. Company (wd:Q2915810): 1970 musical comedy by Stephen Sondheim
6. Company (wd:Q23723998): 2016 single by Justin Bieber
7. The Company, also known as Company (wd:Q681815): 2003 film by Robert Altman
8. Company (wd:Q5155503): 1979 short novel by Samuel Beckett, Your dream team, real rewards
9. .company (wd:Q16048325): top-level domain
10. Manuel Compañy, also known as Compañy (wd:Q15876995): Spanish photographer, photographer

[Assistant]
The most relevant entity for "company" as a business organization is wd:Q783794.

Next, I need to find the property for "number of employees".

[Tool]
Top 10 property alternatives:
1. employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): total number of employees of a company at a given "point in time...not deprecated rank). Add data for recent years, don't overwrite
2. employer, also known as working at, working for, working place, works at, works for (wd:P108 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): person or organization for which the subject works or worked, affiliation
3. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): person linked to the item in any possible way
4. member count, also known as total members, number of members, count of members, amount of members, membership (wd:P2124 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): number of entities that are part of an organization at a particular time
5. number of seats, also known as membership quantity, number of seats (members), quantity of members, seats (members) (wd:P1342 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): total number of seats/members in an assembly (legislative house or similar)
6. category for employees of the organization, also known as Academic staff, category for employees of the organisation, Professor (wd:P4195 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): Wikimedia category for people who work or worked at this organization
7. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): location where persons or organisations were actively participating in employment, business or other work, significant place, location
8. number of works, also known as works, works posted, work count, posts posted, posts (wd:P3740 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): qualifier on identifiers, e.g. for creators or locations, giving... external database associated with the subject of the identifier
9. employment by economic sector, also known as employment by industry, employment by sector (wd:P2297 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): employment divided by sector
10. in work (wd:P2553 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): qualifier of award received and nominated for (P1411) to specify...ominated creative work appeared causing the nomination/award win

[Assistant]
The property for "number of employees" is wd:P1128.

Now, I need to find the property for "website".

[Tool]
Top 10 property alternatives:
1. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): official URL where the agent sells products/merchandise, official website
2. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): 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
3. title of broader work, also known as container title, website title (wd:P6333 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): title of website, journal or other work in which an article (or ...is published in. Use "published in" (P1433) instead if possible.
4. login URL, also known as sign-in URL, sign in URL, sign-in page, sign in page, login page (wd:P11903 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): URL of a webpage used to log into a service, URL
5. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, producer of (wd:P1056 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
6. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
7. sitemap URL, also known as sitemap xml, site map URL, sitemap (wd:P11212 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): URL to the sitemap of the subject's official website, URL
8. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): name of the Reddit forum associated to this subject
9. reference URL, also known as URL fonte, webref, URL ref, URL, site (wd:P854 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): should be used for Internet URLs as references. Use "Wikimedia import URL" (P4656) for imports from WMF sites, URL
10. URL, also known as Uniform Resource Locator, URLs, Uniform Resource Locators (wd:P2699 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): location of a resource

[Assistant]
The property for "official website" is wd:P856.

Now, I will construct a SPARQL query to find all entities that are instances of "company" (wd:Q783794), have more than 500,000 employees (wdt:P1128), and retrieve their official website (wdt:P856). I will also include optional labels for readability.

Here is the initial query plan:
- ?company wdt:P31 wd:Q783794 (instance of company)
- ?company wdt:P1128 ?employees (number of employees)
- FILTER(?employees > 500000)
- ?company wdt:P856 ?website (official website)
- Optionally, get rdfs:label for the company

Let's write and execute this query.

[Tool]
Got 2 rows and 3 columns:
| company                   | website                 | companyLabel   |
| ------------------------- | ----------------------- | -------------- |
| DHL Group (wd:Q109931818) | <https://www.dpdhl.com> | DHL Group (en) |
| DHL (wd:Q489815)          | <https://www.dhl.com>   | DHL (en)       |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?cosmonaut ?cosmonautLabel WHERE {
  ?cosmonaut wdt:P106 wd:Q12634815 .
  OPTIONAL {
    ?cosmonaut rdfs:label ?cosmonautLabel .
    FILTER ( LANG( ?cosmonautLabel ) = "en" )
  }
}

Got 8 rows and 2 columns:
| cosmonaut                                       | cosmonautLabel                       |
| ----------------------------------------------- | ------------------------------------ |
| Void (wd:Q106373153)                            | Void (en)                            |
| Svetlana Oktyabrevna Omelchenko (wd:Q108169808) | Svetlana Oktyabrevna Omelchenko (en) |
| Aleksandr Gorbunov (wd:Q109493064)              | Aleksandr Gorbunov (en)              |
| Marina Vasilevskaya (wd:Q118185958)             | Marina Vasilevskaya (en)             |
| Ural Sultanov (wd:Q15210574)                    | Ural Sultanov (en)                   |
| Anna Kikina (wd:Q18352451)                      | Anna Kikina (en)                     |
| Vladimír Remek (wd:Q254985)                     | Vladimír Remek (en)                  |
| Arnaldo Tamayo Méndez (wd:Q362902)              | Arnaldo Tamayo Méndez (en)           |

Here are all cosmonauts in Wikidata with occupation 'cosmonaut':
- wd:Q106373153 (Void)
- wd:Q108169808 (Svetlana Oktyabrevna Omelchenko)
- wd:Q109493064 (Aleksandr Gorbunov)
- wd:Q118185958 (Marina Vasilevskaya)
- wd:Q15210574 (Ural Sultanov)
- wd:Q18352451 (Anna Kikina)
- wd:Q254985 (Vladimír Remek)
- wd:Q362902 (Arnaldo Tamayo Méndez)

Each result includes the Wikidata identifier and, where available, the English 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 http://amur:7001

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] Give me all cosmonauts.

[Assistant]
First, I need to identify the correct entity or class for "cosmonaut" in Wikidata. "Cosmonaut" is a term for a Russian or Soviet astronaut, so I will search for the entity "cosmonaut" in Wikidata.

Let me search for the entity "cosmonaut".

[Tool]
Top 10 entity alternatives:
1. astronaut, also known as cosmonaut, vyomanaut, taikonaut, spationaut, spacionaut (wd:Q11631): person who commands, pilots, or serves as a crew member of a spacecraft
2. The Cosmonaut, also known as Cosmonaut (wd:Q3016381): 2013 film directed by Nicolás Alcalá
3. Forsaken, also known as Cosmonaut, Forsaken: Mission Mars, Martian, Prishelets, The Cosmonaut (wd:Q55659194): 2018 Russian science fiction film by Aleksandr Kulikov
4. Cosmonaut, also known as Cosmonauta (wd:Q3695198): 2009 film directed by Susanna Nicchiarelli
5. cosmonaut, also known as Russian astronaut (wd:Q12634815): astronaut from the former Soviet Union and its satellite countries and today's Russia
6. Cosmonaut (wd:Q5174345): 2010 studio album by Bump of Chicken
7. COSMONAUT (wd:Q122343082): 2018 video game
8. cosmonaut (wd:L493546-S2)
9. cosmonaut (wd:L30879)
10. cosmonaut (wd:L30879-F1)

[Assistant]
The search results show two relevant entities:
- wd:Q11631: astronaut, also known as cosmonaut, vyomanaut, taikonaut, spationaut, spacionaut (general term for space travelers)
- wd:Q12634815: cosmonaut, also known as Russian astronaut (specifically astronauts from the former Soviet Union and Russia)

Since you asked specifically for "cosmonauts," I will use wd:Q12634815, which refers to Russian/Soviet cosmonauts.

Next, I need to find the property that links people to their occupation or role as a cosmonaut. I will search for properties related to "occupation" or "profession."

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
3. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): some or all members of this group share the occupation
4. practiced by, also known as proponent, studied by, practitioners, practioner, occupation of this field (wd:P3095 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): type of agents that study this subject or work in this field
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): subject currently or formerly holds the object position or public office
6. employer, also known as working at, working for, working place, works at, works for (wd:P108 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): person or organization for which the subject works or worked, affiliation
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the object is a country that recognizes the subject as its citizen, country
8. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): person or organization occupying property, used by
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): specialization of a person or organization; see P106 for the occupation, interested in
10. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): location where persons or organisations were actively participating in employment, business or other work, significant place, location

[Assistant]
The most relevant property for linking people to their occupation as cosmonauts is "occupation" (wd:P106). Now, I need to find people whose occupation (wd:P106) is "cosmonaut" (wd:Q12634815).

I will construct a SPARQL query to select all entities with occupation "cosmonaut" and optionally retrieve their labels.

[Tool]
Got 8 rows and 2 columns:
| cosmonaut                                       | cosmonautLabel                       |
| ----------------------------------------------- | ------------------------------------ |
| Void (wd:Q106373153)                            | Void (en)                            |
| Svetlana Oktyabrevna Omelchenko (wd:Q108169808) | Svetlana Oktyabrevna Omelchenko (en) |
| Aleksandr Gorbunov (wd:Q109493064)              | Aleksandr Gorbunov (en)              |
| Marina Vasilevskaya (wd:Q118185958)             | Marina Vasilevskaya (en)             |
| Ural Sultanov (wd:Q15210574)                    | Ural Sultanov (en)                   |
| Anna Kikina (wd:Q18352451)                      | Anna Kikina (en)                     |
| Vladimír Remek (wd:Q254985)                     | Vladimír Remek (en)                  |
| Arnaldo Tamayo Méndez (wd:Q362902)              | Arnaldo Tamayo Méndez (en)           |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?entity ?entityLabel ?owner ?ownerLabel WHERE {
  VALUES ?entity {
    wd:Q125141709 wd:Q243278 wd:Q234803
  }
  OPTIONAL {
    ?entity wdt:P127 ?owner .
    OPTIONAL {
      ?owner rdfs:label ?ownerLabel FILTER ( lang( ?ownerLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?entity rdfs:label ?entityLabel FILTER ( lang( ?entityLabel ) = "en" )
  }
}

Got 5 rows and 4 columns:
| entity                              | entityLabel                 | owner                                | ownerLabel                   |
| ----------------------------------- | --------------------------- | ------------------------------------ | ---------------------------- |
| Rolls-Royce (wd:Q125141709)         | Rolls-Royce (en)            | Rolls-Royce Motor Cars (wd:Q234803)  | Rolls-Royce Motor Cars (en)  |
| Rolls-Royce Motor Cars (wd:Q234803) | Rolls-Royce Motor Cars (en) | BMW (wd:Q26678)                      | BMW (en)                     |
| Rolls-Royce (wd:Q243278)            | Rolls-Royce (en)            | ValueAct Capital (wd:Q22032185)      | ValueAct Capital (en)        |
| Rolls-Royce (wd:Q243278)            | Rolls-Royce (en)            | Credit Suisse (wd:Q372657)           | Credit Suisse (en)           |
| Rolls-Royce (wd:Q243278)            | Rolls-Royce (en)            | Capital Group Companies (wd:Q505275) | Capital Group Companies (en) |

The car brand Rolls-Royce is owned by Rolls-Royce Motor Cars, which is owned by BMW. The company Rolls-Royce Holdings plc is owned by several institutional investors: ValueAct Capital, Credit Suisse, and Capital Group Companies.

[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 http://amur:7001

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 is the owner of Rolls-Royce?

[Assistant]
Let's break down the question:

1. The main entity is "Rolls-Royce". We need to identify the correct entity for Rolls-Royce in Wikidata, as there are multiple entities (e.g., Rolls-Royce Holdings, Rolls-Royce Motor Cars, etc.).
2. The property of interest is "owner".

First, I will search for the entity "Rolls-Royce" in Wikidata to identify the relevant IRIs.

[Tool]
Top 10 entity alternatives:
1. Rolls-Royce, also known as Rolls-Royce Holdings plc (wd:Q243278): British multinational public holding company
2. Rolls-Royce (wd:Q125141709): car brand
3. Rolls-Royce, also known as Rolls-Royce plc (wd:Q85623218): British company
4. Rolls-Royce Limited, also known as Rolls Royce Limited (wd:Q679888): 1906-1987 automobile and aerospace manufacturer in the United Kingdom
5. Merlin, also known as Merlin engine, Rolls-Royce Merlin, RR Merlin (wd:Q1412885): 12-cylinder V piston engine family by Rolls-Royce
6. The Yellow Rolls-Royce, also known as Yellow Rolls-Royce (wd:Q2474758): 1964 film by Anthony Asquith
7. Rolls-Royce Ghost (wd:Q1510648): car model
8. Rolls-Royce Trent (wd:Q1738127): turbofan aircraft engine family
9. Rolls-Royce Griffon (wd:Q2164325): 1930s British piston aircraft engine
10. Rolls-Royce RB211, also known as RB211 (wd:Q1636078): 1960s British turbofan aircraft engine

[Assistant]
There are several entities related to "Rolls-Royce" in Wikidata. The most relevant for the question "Who is the owner of Rolls-Royce?" are:

- Rolls-Royce Holdings plc (wd:Q243278): the current holding company.
- Rolls-Royce (wd:Q125141709): the car brand.
- Rolls-Royce plc (wd:Q85623218): the company.
- Rolls-Royce Limited (wd:Q679888): the original company (1906-1987).

The question is ambiguous, but most commonly, people refer to either the car brand or the holding company. The car brand "Rolls-Royce" is currently owned by BMW, while the aerospace company is independent.

To be thorough, I will check the ownership of both the car brand (wd:Q125141709) and the holding company (wd:Q243278).

First, I will search for the "owner" property in Wikidata.

[Tool]
Top 10 property alternatives:
1. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): owner of the subject
2. owner of, also known as owns, owns property, shareholder of (wd:P1830 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): entities owned by the subject
3. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
4. copyright holder, also known as licensor, proprietor, copyright owner, copyright ‘owner’ (wd:P3931 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): person or organisation who holds the copyright of a work according to the Berne Convention, owned by
5. beneficial owner, also known as beneficial ownership, UBO (wd:P12621 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): natural person or persons who ultimately owns or controls a company or organisation
6. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): when this subject is used as object of “instance of”, the following properties normally apply
7. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): main Wikidata property for this item
8. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
9. afterward owned by, also known as subsequently owned by, purchased by, owned after by, new owner, bought by (wd:P11812 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): person or institution that owned the subject after stated event....ficant event (P793)" for events like sales, auctions, gifts, etc
10. leased to, also known as lessee (wd:P13047 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): person or organisation that holds or was granted a lease on the subject, occupant

[Assistant]
The most relevant property for "owner" is "owned by" (wdt:P127).

I will now check the "owned by" property for both:
- Rolls-Royce Holdings plc (wd:Q243278)
- Rolls-Royce (car brand) (wd:Q125141709)

I will start with the car brand, as this is often what people mean by "Rolls-Royce" in a general context.

[Tool]
Got 1 row and 3 columns:
| subject                     | property            | object                              |
| --------------------------- | ------------------- | ----------------------------------- |
| Rolls-Royce (wd:Q125141709) | owned by (wdt:P127) | Rolls-Royce Motor Cars (wd:Q234803) |

[Tool]
Got 1 row and 3 columns:
| subject                             | property            | object          |
| ----------------------------------- | ------------------- | --------------- |
| Rolls-Royce Motor Cars (wd:Q234803) | owned by (wdt:P127) | BMW (wd:Q26678) |

[Tool]
Got 3 rows and 3 columns:
| subject                  | property            | object                               |
| ------------------------ | ------------------- | ------------------------------------ |
| Rolls-Royce (wd:Q243278) | owned by (wdt:P127) | Credit Suisse (wd:Q372657)           |
| Rolls-Royce (wd:Q243278) | owned by (wdt:P127) | Capital Group Companies (wd:Q505275) |
| Rolls-Royce (wd:Q243278) | owned by (wdt:P127) | ValueAct Capital (wd:Q22032185)      |

[Tool]
Got 4 rows and 4 columns:
| entity                      | entityLabel      | owner                                | ownerLabel                   |
| --------------------------- | ---------------- | ------------------------------------ | ---------------------------- |
| Rolls-Royce (wd:Q125141709) | Rolls-Royce (en) | Rolls-Royce Motor Cars (wd:Q234803)  | Rolls-Royce Motor Cars (en)  |
| Rolls-Royce (wd:Q243278)    | Rolls-Royce (en) | ValueAct Capital (wd:Q22032185)      | ValueAct Capital (en)        |
| Rolls-Royce (wd:Q243278)    | Rolls-Royce (en) | Credit Suisse (wd:Q372657)           | Credit Suisse (en)           |
| Rolls-Royce (wd:Q243278)    | Rolls-Royce (en) | Capital Group Companies (wd:Q505275) | Capital Group Companies (en) |

[Tool]
Got 1 row and 3 columns:
| subject                             | property            | object          |
| ----------------------------------- | ------------------- | --------------- |
| Rolls-Royce Motor Cars (wd:Q234803) | owned by (wdt:P127) | BMW (wd:Q26678) |

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 316 for token UNION with content 'UNION' (the input most likely does not follow the grammar)

[Assistant]
To summarize the findings:

- The car brand "Rolls-Royce" (wd:Q125141709) is owned by "Rolls-Royce Motor Cars" (wd:Q234803), which is in turn owned by BMW (wd:Q26678).
- The company "Rolls-Royce Holdings plc" (wd:Q243278) is owned by multiple institutional investors: ValueAct Capital (wd:Q22032185), Credit Suisse (wd:Q372657), and Capital Group Companies (wd:Q505275).

I will now provide a SPARQL query that returns the ownership chain for both the car brand and the holding company, including the next level for the car brand (i.e., BMW as the ultimate owner).

Here is the final SPARQL query and answer.

[Tool] Stopped generation process