PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?instrument ?instrumentLabel WHERE {
  wd:Q154216 wdt:P1303 ?instrument .
  OPTIONAL {
    ?instrument rdfs:label ?instrumentLabel FILTER ( LANG( ?instrumentLabel ) = "en" )
  }
}

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)      |

Cat Stevens plays the following instruments: voice, bass guitar, piano, and guitar.

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

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

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

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

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

[User] Which instruments does Cat Stevens play?

[Assistant] To answer the question "Which instruments does Cat Stevens play?", I will first search for the entity "Cat Stevens" in Wikidata to get his identifier. Then, I will look for properties related to the instruments he plays. Finally, I will construct a SPARQL query to retrieve the instruments associated with Cat Stevens.

[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 entity for Cat Stevens, the British musician, is wd:Q154216. Next, I will search for properties related to the instruments he plays. I will look for properties that might indicate the instruments played by this musician.

[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 property "instrument" (wdt:P1303) is the relevant property that indicates the musical instrument a person plays. I will now construct a SPARQL query to retrieve the instruments played by Cat Stevens (wd:Q154216) using this property.

[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 rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?organization ?organizationLabel WHERE {
  ?organization wdt:P31 wd:Q43229 ; wdt:P452 ?industry ; wdt:P159 wd:Q31 .
  VALUES ?industry {
    wd:Q2401742 wd:Q29584759 wd:Q29584760 wd:Q29584761 wd:Q29584762
  }
  OPTIONAL {
    ?organization rdfs:label ?organizationLabel FILTER ( LANG( ?organizationLabel ) = "en" )
  }
}
LIMIT 100

Got 1 row and 2 columns:
| organization       | organizationLabel |
| ------------------ | ----------------- |
| SWIFT (wd:Q257597) | SWIFT (en)        |

The telecommunications organization located in Belgium found in Wikidata is SWIFT (wd:Q257597).

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

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

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

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

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

[User] Which telecommunications organizations are located in Belgium?

[Assistant]
To answer the question "Which telecommunications organizations are located in Belgium?", I will follow these steps:

1. Identify the entity for Belgium.
2. Identify the property for "located in" or "headquartered in" or similar.
3. Identify the entity or class for "telecommunications organizations."
4. Query for organizations that are telecommunications-related and located in Belgium.

Step 1: Search for the entity Belgium in Wikidata.

[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]
I identified Belgium as wd:Q31 (country in western Europe).

Next, I will identify the property for "located in" or "headquartered in" or similar to use for organizations' location. I will 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): person or organization occupying property, used by
4. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

[Assistant]
The most suitable properties for location are:
- P131: located in the administrative territorial entity
- P159: headquarters location (for organizations)
- P276: location (general)

For organizations, "headquarters location" (P159) is most specific. I will use this property to find telecommunications organizations headquartered in Belgium.

Next, I need to identify the entity or class for "telecommunications organizations." I will search for the entity "telecommunications organization" or similar.

[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 entity for "telecommunications organization" as a class, but there is an entity for "telecommunications" (wd:Q2401742) which represents the telecommunications industry or providers of telecommunications networks and services.

I will try to find subclasses or instances of organizations related to telecommunications. I will search for subclasses of telecommunications or organizations that are instances of telecommunications-related classes.

I will first check subclasses of telecommunications (wd:Q2401742).

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant]
The query to get subclasses of telecommunications failed due to unsupported SERVICE wikibase:label in this endpoint.

I will rewrite the query without SERVICE wikibase:label and instead get labels using rdfs:label optionally.

I will try again to get subclasses of telecommunications (wd:Q2401742) with labels.

[Tool]
Got 5 rows and 2 columns:
| subclass                                               | subclassLabel                                |
| ------------------------------------------------------ | -------------------------------------------- |
| Wired telecommunications activities (wd:Q29584759)     | Wired telecommunications activities (en)     |
| Wireless telecommunications activities (wd:Q29584760)  | Wireless telecommunications activities (en)  |
| satellite telecommunications activities (wd:Q29584761) | satellite telecommunications activities (en) |
| other telecommunications activities (wd:Q29584762)     | other telecommunications activities (en)     |
| Continuous transmission mode (wd:Q5165528)             | Continuous transmission mode (en)            |

[Assistant]
The subclasses of telecommunications (wd:Q2401742) found are mostly activities, not organizations.

I will try a different approach: find organizations that have an industry (wdt:P452) related to telecommunications (wd:Q2401742) or its subclasses.

I will first find subclasses of telecommunications including the main class itself for the industry property. Then I will query organizations with industry in this set and located in Belgium.

I will now find subclasses of telecommunications including the main class itself.

[Tool]
Got 6 rows and 1 column:
| industry                                               |
| ------------------------------------------------------ |
| telecommunications (wd:Q2401742)                       |
| Wired telecommunications activities (wd:Q29584759)     |
| Wireless telecommunications activities (wd:Q29584760)  |
| satellite telecommunications activities (wd:Q29584761) |
| other telecommunications activities (wd:Q29584762)     |
| Continuous transmission mode (wd:Q5165528)             |

[Assistant]
I have the telecommunications industry and its subclasses.

Now I will query for organizations (instances of wd:Q43229) that have an industry (wdt:P452) in this set and have headquarters location (wdt:P159) in Belgium (wd:Q31).

I will write the SPARQL query to get these telecommunications organizations located in Belgium.

[Tool]
Got 1 row and 2 columns:
| organization       | organizationLabel |
| ------------------ | ----------------- |
| SWIFT (wd:Q257597) | SWIFT (en)        |

[Assistant]
The query returned only one telecommunications organization located in Belgium: SWIFT (wd:Q257597).

I will now finalize the answer with this information.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
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 won the following awards: Guggenheim Fellowship, Albertus-Magnus professorate, Barwise Prize, Fellow of the American Academy of Arts and Sciences, National Book Award, CSS Fellow, Fellow of the Committee for Skeptical Inquiry, and Pulitzer Prize for General Nonfiction.

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

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

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

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

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

[User] Which awards did Douglas Hofstadter win?

[Assistant] To answer the question about which awards Douglas Hofstadter won, I will first search for the entity Douglas Hofstadter in Wikidata to get his identifier. Then, I will look for properties related to awards that are associated with this entity. Finally, I will construct a SPARQL query to retrieve the awards he won.

[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] I found the entity for Douglas Hofstadter with the identifier wd:Q319308. Now I will search for properties related to awards for this entity.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
2. 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
3. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
4. 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)
5. 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
6. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
7. 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)
8. academic degree, also known as academic diploma, degree, diploma (wd:P512 as wdt/p): academic degree that the person holds
9. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
10. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception

No other items found

[Assistant] The property "award received" (wdt:P166) is the relevant property for awards won by Douglas Hofstadter. I will now construct a SPARQL query to retrieve the awards he won using this property.

[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 wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] What is the area code of Berlin?

[Assistant] To answer the question about the area code of Berlin, I need to identify the entity for Berlin and the property related to area code (which is typically a telephone area code). I will start by searching 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 entity for Berlin, the capital and largest city of Germany, is wd:Q64. Next, I will search for properties related to "area code" for this entity to find the relevant property that stores the area code information.

[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 wdt/p): identifier dedicated to subject city by the area communication network
2. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as wdt/p): identifier assigned by postal authorities for the subject area or building
3. UN/LOCODE, also known as LOCCODE, LOCODE, UNECE location code, UNECE LOCODE, United Nations location code (wd:P1937 as wdt/p): geographic location code maintained by UNECE
4. social media followers, also known as number of subs, number of subscribers, sub count, sub number, subscriber number (wd:P8687 as wdt/p): number of subscribers on a particular social media website (use ... in time" and property for account. For Twitter, use numeric id.
5. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as wdt/p): area occupied by an object
6. licence plate code, also known as license plate code, vehicle registration plate (wd:P395 as wdt/p): distinguishing signs or parts of license plate associated with t...al licence plate country code or distinguishing sign of vehicles
7. PM20 geo code (wd:P8483 as wdt/p): code for a geographical category in the 20th Century Press Archives' "countries" category system
8. HASC, also known as Hierarchical Administrative Subdivision Code (wd:P8119 as wdt/p): codes to represent country subdivisions
9. FIPS 10-4 (countries and regions), also known as fips country codes (wd:P901 as wdt/p): Identifier for countries and regions per former Federal Information Processing Standard FIPS 10-4
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

No other items found

[Assistant] The property "local dialing code" (wdt:P473) corresponds to the area code or local dialing code for the city. Now I will query the value of this property for Berlin (wd:Q64).

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

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?company ?companyLabel ?website 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:
1. DHL Group - https://www.dpdhl.com
2. 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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

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

[Assistant]
To answer the question, I need to identify the following:
1. Entities representing companies.
2. The property representing the number of employees.
3. The property representing the website of the company.

I will start by searching for the property related to the number of employees to confirm the exact property ID in Wikidata.

[Tool]
Top 10 property alternatives:
1. employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): employment divided by sector
10. in work (wd:P2553 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): qualifier of award received and nominated for (P1411) to specify...ominated creative work appeared causing the nomination/award win

[Assistant] The property for the number of employees is "employees" with the property ID wd:P1128. Next, I will search for the property related to the website of a company.

[Tool]
Top 10 property alternatives:
1. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): location of a resource

[Assistant] The property for the official website is "official website" with the property ID wd:P856. Now I will construct a SPARQL query to find companies with more than 500,000 employees and retrieve their websites. I will also include the company labels for better readability.

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

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
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)           |

The cosmonauts are: Void, Svetlana Oktyabrevna Omelchenko, Aleksandr Gorbunov, Marina Vasilevskaya, Ural Sultanov, Anna Kikina, Vladimír Remek, and Arnaldo Tamayo Méndez.

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

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

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

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

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

[User] Give me all cosmonauts.

[Assistant]
To answer the question "Give me all cosmonauts," I need to identify the entity representing "cosmonaut" in Wikidata and then find all individuals who are instances of or have the occupation of cosmonaut.

Step 1: Search for the entity "cosmonaut" in Wikidata.

[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 entity "cosmonaut" is best represented by wd:Q12634815, which is described as "cosmonaut, also known as Russian astronaut." This entity specifically refers to astronauts from the former Soviet Union and Russia, which matches the typical definition of a cosmonaut.

Step 2: Find all individuals who have the occupation (wdt:P106) of cosmonaut (wd:Q12634815).

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

Got 5 rows and 2 columns:
| owner                                | ownerLabel                   |
| ------------------------------------ | ---------------------------- |
| ValueAct Capital (wd:Q22032185)      | ValueAct Capital (en)        |
| Rolls-Royce Motor Cars (wd:Q234803)  | Rolls-Royce Motor Cars (en)  |
| BMW (wd:Q26678)                      | BMW (en)                     |
| Credit Suisse (wd:Q372657)           | Credit Suisse (en)           |
| Capital Group Companies (wd:Q505275) | Capital Group Companies (en) |

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

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

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

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

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

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

[User] Who is the owner of Rolls-Royce?

[Assistant]
To answer the question "Who is the owner of Rolls-Royce?", I need to clarify whether the user refers to the company Rolls-Royce Holdings plc (the aerospace and defense company) or Rolls-Royce Motor Cars (the luxury automobile manufacturer). Both are distinct entities with different ownership.

Step 1: Search for the entity "Rolls-Royce" to identify the relevant entities for Rolls-Royce Holdings and Rolls-Royce Motor Cars.

[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]
I found multiple entities related to Rolls-Royce. The most relevant ones for ownership are:
- Rolls-Royce Holdings plc (wd:Q243278), a British multinational public holding company
- Rolls-Royce (car brand) (wd:Q125141709)

I will first check the owner or parent company of Rolls-Royce Holdings plc (wd:Q243278) to see if it has an owner. If not, I will check the ownership of the car brand Rolls-Royce (wd:Q125141709).

[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)      |

[Assistant]
Rolls-Royce Holdings plc (wd:Q243278) is owned by multiple entities: Credit Suisse (wd:Q372657), Capital Group Companies (wd:Q505275), and ValueAct Capital (wd:Q22032185). These are likely major shareholders or owners.

Next, I will check the owner of the Rolls-Royce car brand (wd:Q125141709) to provide a complete answer.

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

[Assistant] The Rolls-Royce car brand (wd:Q125141709) is owned by Rolls-Royce Motor Cars (wd:Q234803). I will now check the owner of 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] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?politician ?politicianLabel ?spouse ?spouseLabel WHERE {
  ?politician wdt:P106 wd:Q82955 .
  ?politician wdt:P26 ?spouse .
  ?spouse wdt:P27 wd:Q183 .
  OPTIONAL {
    ?politician rdfs:label ?politicianLabel FILTER ( LANG( ?politicianLabel ) = "en" )
  }
  OPTIONAL {
    ?spouse rdfs:label ?spouseLabel FILTER ( LANG( ?spouseLabel ) = "en" )
  }
}
LIMIT 100

Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| politician                                     | politicianLabel                       | spouse                                                                | spouseLabel                                                   |
| ---------------------------------------------- | ------------------------------------- | --------------------------------------------------------------------- | ------------------------------------------------------------- |
| Eberhard Gothein (wd:Q100765)                  | Eberhard Gothein (en)                 | Marie-Luise Gothein (wd:Q97309)                                       | Marie-Luise Gothein (en)                                      |
| Hans-Peter Bartels (wd:Q101192)                | Hans-Peter Bartels (en)               | Susanne Gaschke (wd:Q104875)                                          | Susanne Gaschke (en)                                          |
| Karl Trimborn (wd:Q101327)                     | Karl Trimborn (en)                    | Jeanne Trimborn (wd:Q1686020)                                         | Jeanne Trimborn (en)                                          |
| Siegfried Balleis (wd:Q101881)                 | Siegfried Balleis (en)                | Angelika Balleis (wd:Q41543230)                                       | Angelika Balleis (en)                                         |
| Joachim von Ribbentrop (wd:Q101886)            | Joachim von Ribbentrop (en)           | Annelies von Ribbentrop (wd:Q15531167)                                | Annelies von Ribbentrop (en)                                  |
| ...                                            | ...                                   | ...                                                                   | ...                                                           |
| Robert Leibbrand (wd:Q1291500)                 | Robert Leibbrand (en)                 | Anna Leibbrand (wd:Q19839858)                                         | Anna Leibbrand (en)                                           |
| Käte Duncker (wd:Q1301555)                     | Käte Duncker (en)                     | Hermann Duncker (wd:Q1610938)                                         | Hermann Duncker (en)                                          |
| Elsbeth Weichmann (wd:Q1306031)                | Elsbeth Weichmann (en)                | Herbert Weichmann (wd:Q68114)                                         | Herbert Weichmann (en)                                        |
| Hans-Veit of Toerring-Jettenbach (wd:Q1306931) | Hans-Veit of Toerring-Jettenbach (en) | Duchess Sophie Adelheid, Countess of Toerring-Jettenbach (wd:Q469437) | Duchess Sophie Adelheid, Countess of Toerring-Jettenbach (en) |
| Elizabeth I of Russia (wd:Q130752)             | Elizabeth I of Russia (en)            | Charles Augustus of Holstein-Gottorp (wd:Q72941)                      | Charles Augustus of Holstein-Gottorp (en)                     |

There are multiple politicians who were married to a German. The query returns politicians with their spouses who have German citizenship. Some examples include Eberhard Gothein married to Marie-Luise Gothein, Hans-Peter Bartels married to Susanne Gaschke, and Joachim von Ribbentrop married to Annelies von Ribbentrop.

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

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

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

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

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

[User] Which politicians were married to a German?

[Assistant]
To answer the question "Which politicians were married to a German?", I need to identify the following:

1. Politicians: Entities that have the occupation or role of a politician.
2. Marital relationship: Entities that have a spouse.
3. German: The spouse should be identified as German, which could be indicated by nationality or citizenship.

Step 1: Find the property for "occupation" or "position held" to identify politicians.
Step 2: Find the property for "spouse" to identify the marital relationship.
Step 3: Find the property for "nationality" or "citizenship" to identify if the spouse is German.

I will start by searching for the property "spouse" to confirm its identifier in Wikidata.

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
4. married name, also known as full name (married) (wd:P2562 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): name or surname adopted by a person upon marriage, name
5. place of marriage, also known as marriage location, wedding location, wed at, married in, married at (wd:P2842 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): location where the marriage was celebrated. Use as qualifier for property "spouse" (P26), significant place
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): full name of a person at birth, if different from their current, generally used name, name
7. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): item with which the item is physically connected, physically interacts with
8. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): two or more astronomic bodies of the same type relating to each other
9. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
10. relation (wd:P2309 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The property for "spouse" is wd:P26.

Next, I will search for the property that indicates "occupation" or "position held" to identify politicians.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): 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 ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): location where persons or organisations were actively participating in employment, business or other work, significant place, location

[Assistant]
The property for "occupation" is wd:P106. This can be used to identify politicians by their occupation.

Next, I will search for the entity "politician" to get its Wikidata identifier.

[Tool]
Top 10 entity alternatives:
1. politician, also known as pol, political leader, polit., political figure (wd:Q82955): person who holds or seeks positions in government
2. Almudena Martínez del Junco, also known as politician, Spanish (wd:Q127427405): politician in Spain, politician
3. Politician (wd:Q104854338): 1985 novel by Piers Anthony
4. Politician, also known as Jeongchiinssa (wd:Q97217684): South Korea's radio channels
5. Rohit Pal, also known as politician (wd:Q4699959): public figure
6. Cecilia Achieng Ayot, also known as Politician (wd:Q115153599): Kenyan Politician Member of County Assembly Ward Laini Saba, politician
7. David Ruong'o Okelo, also known as Politician (wd:Q115153352): Kenyan Politician, politician
8. Ahmed Abdullahi, also known as Politician (wd:Q114862677): Kenyan Politician
9. Babacar J. Diop, also known as Politician (wd:Q121790292): Babacar J. Diop is current Special Adviser of Youth Policies and...19 to 2022, he served as National Youth Program Officer for UNDP, politician
10. antony kiragu karanja, also known as Politician (wd:Q115153332): Kenyan Politician Minority Leader, politician

[Assistant]
The entity for "politician" is wd:Q82955.

Next, I will search for the property that indicates "country of citizenship" or "nationality" to identify if the spouse is German.

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): the object is a country that recognizes the subject as its citizen, country
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): most specific known birth location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): date on which the subject was born, inception
4. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): country a person or a team represents when playing a sport, country
5. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): place where a statement is valid, applies to part
6. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
7. country, also known as sovereign state, state, land, host country (wd:P17 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): full name of a person at birth, if different from their current, generally used name, name
9. permanent resident of, also known as landed immigrant of, PR (wd:P5389 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): country or region where a person has the legal status of permanent resident
10. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): the place where the person is or has been, resident, location

[Assistant]
The property for "country of citizenship" is wd:P27.

Now I will construct a SPARQL query to find politicians (occupation wd:Q82955) who have a spouse (wdt:P26) with country of citizenship Germany (wd:Q183). I will also include labels for readability.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| politician                                     | politicianLabel                       | spouse                                                                | spouseLabel                                                   |
| ---------------------------------------------- | ------------------------------------- | --------------------------------------------------------------------- | ------------------------------------------------------------- |
| Eberhard Gothein (wd:Q100765)                  | Eberhard Gothein (en)                 | Marie-Luise Gothein (wd:Q97309)                                       | Marie-Luise Gothein (en)                                      |
| Hans-Peter Bartels (wd:Q101192)                | Hans-Peter Bartels (en)               | Susanne Gaschke (wd:Q104875)                                          | Susanne Gaschke (en)                                          |
| Karl Trimborn (wd:Q101327)                     | Karl Trimborn (en)                    | Jeanne Trimborn (wd:Q1686020)                                         | Jeanne Trimborn (en)                                          |
| Siegfried Balleis (wd:Q101881)                 | Siegfried Balleis (en)                | Angelika Balleis (wd:Q41543230)                                       | Angelika Balleis (en)                                         |
| Joachim von Ribbentrop (wd:Q101886)            | Joachim von Ribbentrop (en)           | Annelies von Ribbentrop (wd:Q15531167)                                | Annelies von Ribbentrop (en)                                  |
| ...                                            | ...                                   | ...                                                                   | ...                                                           |
| Robert Leibbrand (wd:Q1291500)                 | Robert Leibbrand (en)                 | Anna Leibbrand (wd:Q19839858)                                         | Anna Leibbrand (en)                                           |
| Käte Duncker (wd:Q1301555)                     | Käte Duncker (en)                     | Hermann Duncker (wd:Q1610938)                                         | Hermann Duncker (en)                                          |
| Elsbeth Weichmann (wd:Q1306031)                | Elsbeth Weichmann (en)                | Herbert Weichmann (wd:Q68114)                                         | Herbert Weichmann (en)                                        |
| Hans-Veit of Toerring-Jettenbach (wd:Q1306931) | Hans-Veit of Toerring-Jettenbach (en) | Duchess Sophie Adelheid, Countess of Toerring-Jettenbach (wd:Q469437) | Duchess Sophie Adelheid, Countess of Toerring-Jettenbach (en) |
| Elizabeth I of Russia (wd:Q130752)             | Elizabeth I of Russia (en)            | Charles Augustus of Holstein-Gottorp (wd:Q72941)                      | Charles Augustus of Holstein-Gottorp (en)                     |

[Tool] Stopped generation process