PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?language ?languageLabel WHERE {
  wd:Q225 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( LANG( ?languageLabel ) = "en" )
  }
}
ORDER BY ?languageLabel

Using entities:
Bosnia and Herzegovina (wd:Q225), also known as 🇧🇦, ba, B&H, BiH, BIH, etc.

Using properties:
official language (wd:P37 as wdt), also known as language official, language spoken, speaking, spoken in, P37

Got 3 rows and 2 columns:
| language            | languageLabel |
| ------------------- | ------------- |
| Bosnian (wd:Q9303)  | Bosnian (en)  |
| Croatian (wd:Q6654) | Croatian (en) |
| Serbian (wd:Q9299)  | Serbian (en)  |

Answer: The official languages of Bosnia and Herzegovina are Bosnian (wd:Q9303), Croatian (wd:Q6654), and Serbian (wd:Q9299).

what language do people from bosnia speak?

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

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

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

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

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

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

[User] what language do people from bosnia speak?

[Assistant] I will search Wikidata for the entity corresponding to "Bosnia" (the country Bosnia and Herzegovina) to find its official language(s) and the language(s) spoken by its people. I'll first search for the entity for "Bosnia" and verify which item corresponds. Then I'll look for properties related to official languages and languages spoken by the population and build a SPARQL query to retrieve the language(s) with their identifiers. I'll run intermediate queries and explain each step.

[Tool]
Top 10 entity alternatives:
1. Bosnia and Herzegovina (wd:Q225, matched via Bosnia), also known as 🇧🇦, ba, B&H, BiH, BIH, etc.: is instance of constitutional republic / is instance of Mediterranean country / is instance of sovereign state / republic in Southeast Europe / country in Southeast Europe / is instance of country / country in Europe
2. Bosnia (wd:Q188736): is instance of geographical region / is instance of geographic region / is instance of historical region / region in Bosnia and Herzegovina
3. Bosnia (wd:Q4947317): live album by Grand Funk Railroad / is instance of album
4. Bosna (wd:Q25502969, matched via Bosnia), also known as Bosnia, Bosnia (song): is instance of musical work/composition / Croatian song
5. Bosnia (wd:Q10433448): 1996 live album by Ulf Lundell / is instance of album
6. Bosnia (wd:Q29021052): song by Argentine musician Luis Alberto Spinetta in the álbum Spinetta y los Socios del Desierto / is instance of musical work/composition
7. Bosnia (wd:Q119441173): painting by James Potter (active 1998–2000), Royal Military Police Museum / is instance of painting
8. Bosnia (wd:Q103894070): is instance of encyclopaedic article / is instance of encyclopedia article / encyclopedia article
9. Bosnia (wd:Q84728272), also known as IMO 1160388: general cargo ship built in 1928 / is instance of ship
10. Bosnia (wd:Q80218280): is instance of photograph / photograph by Ron Haviv

[Assistant] I'll search for the Wikidata properties for "official language" and "languages spoken" to confirm their identifiers before building the main query.

[Tool]
Top 10 property alternatives:
1. official language (wd:P37 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as language official, language spoken, speaking, spoken in, P37: language designated as official by this item / language designated as official by this item / language designated as official by this item / language designated as official by this item / is subproperty of language used
2. native label (wd:P1705 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via official language name), also known as autonym, label in official language, label in original language, name in official language, name in original language, etc.: label for the items in their official language (P37) or their original language (P364) / label for the items in their official language (P37) or their original language (P364) / label for the items in their official language (P37) or their original language (P364) / label for the items in their official language  or their original language / is subproperty of name
3. original language of film or TV show (wd:P364 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via original language), also known as created on language, language of the original work, media language, original language, P364: language in which a film or a performance work was originally ... and songs; use P407 ("language of work or name") instead. / language in which a film or a performance work was originally ... written works; use P407 ("language of work or name") instead. / language in which a film or a performance work was originally ... written works; use P407 ("language of work or name") instead. / is subproperty of language of work or name
4. language used (wd:P2936 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via working language), also known as languages used, medium of instruction, used language, uses language, working language, etc.: language widely used (spoken or written) in this place or at this event or organisation
5. native language (wd:P103 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via first language), also known as first language, L1 speaker of, language native, mother tongue, P103: language or languages a person has learned from early childhood / is subproperty of languages spoken, written or signed / language or languages a person has learned from birth / language or languages a person has learned from birth
6. language regulatory body (wd:P1018 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language authority), also known as language authority, regulatory body, P1018: regulatory body of a language
7. language of work or name (wd:P407 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via used language), also known as audio language, available in, broadcasting language, language, language of name, etc.: language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this work or name (for persons use P103 and P1412)
8. languages spoken, written or signed (wd:P1412 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via used language), also known as language, language of expression, language read, language signed, languages of expression, etc.: language(s) that a person or a people speaks, writes or signs, including the native language(s) / language(s) that a person speaks or writes, including the native language(s) / language(s) that a person speaks or writes, including the native language(s)
9. programmed in (wd:P277 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language), also known as language, programming language, written in, P277: the programming language(s) in which the software is developed
10. Ethnologue language status (wd:P3823 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language status), also known as EGIDS, language status, P3823: language status identifier by Ethnologue.com using EGIDS scale / language status identifier by Ethnologue.com using EGIDS scale

[Assistant] I'll query Wikidata for the official languages (property P37) of the country "Bosnia and Herzegovina" (wd:Q225) to verify what properties and values are used. I will request language items plus English labels. Now I'll run a SPARQL query to get P37 values for wd:Q225.

[Tool]
Got 3 rows and 2 columns:
| language            | languageLabel |
| ------------------- | ------------- |
| Croatian (wd:Q6654) | Croatian (en) |
| Serbian (wd:Q9299)  | Serbian (en)  |
| Bosnian (wd:Q9303)  | Bosnian (en)  |

[Assistant] I will run a final SPARQL query that returns the official languages (P37) of Bosnia and Herzegovina (wd:Q225). This follows the searches and intermediate query I ran earlier which showed Bosnian, Croatian, and Serbian. The query will return the language IRIs and their English labels. Now I'll execute the final query and provide the answer.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item ?enLabel ?nativeLabel ?srLabel WHERE {
  BIND( wd:Q9299 AS ?item ) .
  OPTIONAL {
    ?item rdfs:label ?enLabel .
    FILTER ( LANG( ?enLabel ) = "en" )
  }
  OPTIONAL {
    ?item wdt:P1705 ?nativeLabel .
  }
  OPTIONAL {
    ?item rdfs:label ?srLabel .
    FILTER ( LANG( ?srLabel ) = "sr" )
  }
}

Using entities:
Serbian (wd:Q9299), also known as Serbian language, Srpski

Using properties:
native label (wd:P1705 as wdt), also known as autonym, label in official language, label in original language, name in official language, name in original language, etc.

Got 4 rows and 4 columns:
| item               | enLabel      | nativeLabel       | srLabel           |
| ------------------ | ------------ | ----------------- | ----------------- |
| Serbian (wd:Q9299) | Serbian (en) | srpski jezik (sr) | српски језик (sr) |
| Serbian (wd:Q9299) | Serbian (en) | српски (sr)       | српски језик (sr) |
| Serbian (wd:Q9299) | Serbian (en) | српски (sr)      | српски језик (sr) |
| Serbian (wd:Q9299) | Serbian (en) | српски језик (sr) | српски језик (sr) |

Answer: The Wikidata item for the Serbian language is wd:Q9299. English label: "Serbian". Native labels / autonyms returned: "srpski jezik", "српски", "српски ", "српски језик" (these correspond to Latin and Cyrillic forms such as "srpski jezik" and "српски језик").

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

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

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

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

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

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

[User] what is serbian language called?

[Assistant]
I will first search Wikidata for the entity corresponding to the Serbian language to get its Q-id. Then I'll look for the property that stores the native name/autonym (likely "native label" or similar) and verify it. Finally I'll build and run a SPARQL query that returns the Serbian language item and its native labels (in different scripts) and present the result.

I'll start by searching for the "Serbian language" entity.

[Tool]
Top 10 entity alternatives:
1. Serbian (wd:Q9299, matched via Serbian language), also known as Serbian language, Srpski: standardized variety of Serbo-Croatian language used by Serbs / is instance of pluricentric language variant / is subclass of Eastern Herzegovinian / is instance of standard variety / is instance of language
2. Sorbian (wd:Q25442, matched via Serbian language), also known as Serbian language, Wendic language, Wendish: Lechitic language spoken by the Sorbs / is instance of indigenous language / is instance of Lechitic / is subclass of Lechitic
3. Serbian Sign Language (wd:Q113203025): is subclass of Yugoslav Sign Language / is instance of sign language
4. History of Serbian (wd:Q31183797, matched via Serbian language history), also known as Serbian language history: is instance of aspect of history
5. Serbian language in Croatia (wd:Q20974148), also known as use of the Serbian language in Croatia: overview about the use of the Serbian language in Croatia / is subclass of languages of Croatia / is instance of language in an area / is subclass of Serbian
6. Institute for Serbian Language (wd:Q16082649): is instance of research institute / is instance of language regulator
7. Serbian language in Montenegro (wd:Q65201055): is subclass of languages of Montenegro / is instance of language in an area / is subclass of Serbian
8. romanization of Serbian (wd:Q7362708, matched via romanization of the Serbian language), also known as romanisation of Serbian, romanization of the Serbian language: overview about the romanization of the Serbian language / is subclass of romanisation / is subclass of romanization
9. Automatic conversion in Serbian language (wd:Q105549121)
10. English (wd:Q1860, matched via English (language)), also known as English (language), English language, English-language, English the Global Language, The English language: West Germanic language of Indo-European family / West Germanic language originating in England / is instance of standard language / is instance of literary language / is instance of natural language / is instance of modern language / is instance of macrolanguage / is instance of language / West Germanic language / is subclass of Anglic

[Assistant] I'll list triples for the Serbian language entity (wd:Q9299) to find properties that store its native name or autonym (e.g., labels, native label statements). I'll fetch some triples with wd:Q9299 as subject.

[Tool]
Got 1,136 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                     | object                                           |
| ------------------ | -------------------------------------------- | ------------------------------------------------ |
| Serbian (wd:Q9299) | instance of (wdt:P31)                        | standard variety (wd:Q20825842)                  |
| Serbian (wd:Q9299) | country (wdt:P17)                            | Croatia (wd:Q224)                                |
| Serbian (wd:Q9299) | Commons category (wdt:P373)                  | Serbian language                                 |
| Serbian (wd:Q9299) | subclass of (wdt:P279)                       | Eastern Herzegovinian (wd:Q3487593)              |
| Serbian (wd:Q9299) | Freebase ID (wdt:P646)                       | /m/0k0sb                                         |
| Serbian (wd:Q9299) | short name (wdt:P1813)                       | сербаг (os)                                      |
| Serbian (wd:Q9299) | GND ID (wdtn:P227)                           | <https://d-nb.info/gnd/4133301-9>                |
| Serbian (wd:Q9299) | Library of Congress authority ID (wdtn:P244) | <http://id.loc.gov/authorities/names/sh00003109> |
| Serbian (wd:Q9299) | native label (wdt:P1705)                     | srpski jezik (sr)                                |
| Serbian (wd:Q9299) | writing system (wdt:P282)                    | Gaj's Latin alphabet (wd:Q754989)                |
| ...                | ...                                          | ...                                              |

[Assistant] I'll run a SPARQL query on Wikidata for the Serbian language entity (wd:Q9299) that returns its English label and its native label(s) (property P1705). This will verify the autonym(s) used for the Serbian language. I'll now execute that query.

[Tool]
Got 4 rows and 3 columns:
| item               | enLabel      | nativeLabel       |
| ------------------ | ------------ | ----------------- |
| Serbian (wd:Q9299) | Serbian (en) | srpski jezik (sr) |
| Serbian (wd:Q9299) | Serbian (en) | српски (sr)       |
| Serbian (wd:Q9299) | Serbian (en) | српски (sr)      |
| Serbian (wd:Q9299) | Serbian (en) | српски језик (sr) |

[Assistant] I'll run a final SPARQL query that returns the Serbian language item IRI, its English label, its native-label statements (P1705), and its rdfs:label in Serbian. This will confirm the names/autonyms. Then I'll present the results.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?instrument ?instrumentLabel WHERE {
  wd:Q191499 wdt:P1303 ?instrument .
  OPTIONAL {
    ?instrument rdfs:label ?instrumentLabel .
    FILTER ( LANG( ?instrumentLabel ) = "en" )
  }
}

Using entities:
Scott Joplin (wd:Q191499), also known as The king of Ragtime

Using properties:
instrument (wd:P1303 as wdt), also known as instrument played, instrument(s), instruments, instrument taught, musical instrument, etc.

Got 4 rows and 2 columns:
| instrument          | instrumentLabel |
| ------------------- | --------------- |
| cornet (wd:Q202027) | cornet (en)     |
| piano (wd:Q5994)    | piano (en)      |
| guitar (wd:Q6607)   | guitar (en)     |
| violin (wd:Q8355)   | violin (en)     |

Answer: Scott Joplin played the cornet, piano, guitar, and violin.

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

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

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

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

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

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

[User] what did scott joplin play?

[Assistant] Step 1: I'll find the Wikidata item for "Scott Joplin" to get its identifier. I'll search the entity index for "Scott Joplin".

[Tool]
Top 10 entity alternatives:
1. Scott Joplin (wd:Q191499), also known as The king of Ragtime: American composer, musician, and pianist / American composer, musician, and pianist / has occupation jazz musician / has occupation composer / has occupation banjoist / has occupation pianist / is instance of human
2. Scott Joplin (wd:Q12127336): 1977 film by Jeremy Kagan / is instance of film
3. Scott Joplin (wd:Q28730081): is instance of painting / painting by Ellen Banks / painting by Ellen Banks
4. Scott Joplinlaan (wd:Q19513256): street in Eindhoven, the Netherlands / street in Eindhoven, the Netherlands / street in Eindhoven, the Netherlands / is instance of street
5. Scott Joplinrode (wd:Q19513257): street in Zoetermeer, the Netherlands / is instance of street
6. Scott Joplin: Piano Rags (wd:Q7436590): album by Joshua Rifkin / is instance of album
7. Scott Joplin: Questions Remain (wd:Q113214829): scientific article published on 18 April 2006 / scientific article published on 18 April 2006 / scientific article published on 18 April 2006 / is instance of scholarly article / is instance of academic article
8. Scott Joplin's foot (wd:Q30538526): scientific article published on July 1, 1998 / is instance of scholarly article / is instance of academic article
9. Scott Joplin’s New Rag (wd:Q29003610): ragtime composition for piano by Scott Joplin / is instance of musical work/composition
10. Scott Joplin: Complete Piano Works (wd:Q28156183), also known as The Collected Works of Scott Joplin: is instance of written work / book by Scott Joplin

[Assistant] I'll search for properties related to "instrument" to find the right property to query instruments played by Scott Joplin.

[Tool]
Top 10 property alternatives:
1. instrument (wd:P1303 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as instrument played, instrument(s), instruments, instrument taught, musical instrument, etc.: musical instrument that a person plays or teaches or used in a music occupation / is subproperty of uses
2. instrumentation (wd:P870 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via instruments), also known as arranged for, instruments, instruments called for, instruments employed, instruments used, etc.: combination of musical instruments employed in a composition or accompanying a (folk) dance
3. uses (wd:P2283 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via instrument played), also known as instrument played, item used, made use of, makes use of, trope used, etc.: item or concept used by the subject or in the operation (see also instrument [P1303] and armament [P520]) / item or concept used by the subject or in the operation
4. performer (wd:P175 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via musician), also known as actor, actress, artist, dancer, musical artist, etc.: actor, musician, band or other performer associated with this role or musical work / actor, musician, music group or other performer associated with this work / is subproperty of contributor to the creative work or subject
5. music created for (wd:P9899 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via music for), also known as album made for, composed for, composed for work, created for, is music for work, etc.: a work, event, etc. for which a musical composition was ... written; a film for which motion picture music was created) / is subproperty of created for
6. MIMO instrument ID (wd:P3763 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via Musical Instruments Museums Online instrument ID), also known as MIMO instrument identifier, Musical Instruments Museums Online instrument ID, Musical Instruments Museums Online instrument identifier, P3763: identifier for a musical instrument, on the instrument keyword thesaurus from Musical Instruments Museums Online
7. composer (wd:P86 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as composed by, film score by, musical score by, music by, songwriter, etc.: person(s) who wrote the music [for lyricist, use "lyrics by" (P676)] / person(s) who wrote the music; also use P676 for lyricist / person(s) who wrote the music; also use P676 for lyricist / is subproperty of creator
8. item operated (wd:P121 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via acop), also known as acop, aircraft carried, aircraft in fleet, aircraft operated, controls, etc.: equipment, installation or service operated by the subject / equipment, installation or service operated by the subject / equipment, installation or service operated by the subject / is subproperty of uses
9. house publication (wd:P2813 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via mouthpiece), also known as has mouthpiece, house journal, house magazine, house organ, house periodical, etc.: media that speaks for an organization or a movement, and that is usually edited by its members
10. setlist (wd:P9793 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via music performed), also known as concert program, music performed, performance list, performances, set list, etc.: performances of songs or other music at an event; concert program / is subproperty of presented works

[Assistant] Step 2: I will verify that Scott Joplin (wd:Q191499) has the "instrument" property (P1303) in Wikidata by listing triples with that subject and property.

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. instrument (wd:P1303 as p/wdt), also known as instrument played, instrument(s), instruments, instrument taught, musical instrument, etc.: musical instrument that a person plays or teaches or used in a music occupation / is subproperty of uses
2. genre (wd:P136 as p/wdt, matched via type of music), also known as artistic genre, art style, film genre, genre of literature, genre of music, etc.: creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic / genre of a creative work or genre in which an artist works
3. Gran Enciclopèdia de la Música ID (wd:P6412 as p/wdt), also known as P6412: identifier for an item in the Gran Enciclopèdia de la Música
4. Musicsperlacobla composer ID (wd:P11203 as p/wdt), also known as P11203: composer identifier used by musicsperlacobla archive
5. occupation (wd:P106 as p/wdt, matched via craft), also known as avocation, career, craft, employ, employment, etc.: occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
6. instance of (wd:P31 as p/wdt, matched via type), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
7. ethnic group (wd:P172 as p/wdt, matched via culture), also known as (cultural) nationality, culture, ethnicity, ethnic or cultural origin, people, etc.: subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such) / subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such)
8. award received (wd:P166 as p/wdt, matched via win), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
9. AllMusic artist ID (wd:P1728 as p/wdt, matched via amg artist), also known as AllMusic, AllMusic ID, amg artist, P1728: identifier for an artist, musical group, or record label in the AllMusic database (record labels are listed as "artists") / identifier for an artist in AllMusic database
10. National Library of Israel ID (old) (wd:P949 as p/wdt, matched via P949), also known as National Library of Israel identifier, NLI ID, NLI (Israel) ID, P949: former identifier for authority control used at the National ... Replaced with "National Library of Israel J9U ID" (P8189) / authority control identifier used at the National Library of Israel

No other items found

[Assistant] Now I'll run a SPARQL query against Wikidata to get the instruments (property P1303) for Scott Joplin (wd:Q191499). I'll request both the instrument IRIs and their English labels.

[Tool]
Got 4 rows and 2 columns:
| instrument          | instrumentLabel |
| ------------------- | --------------- |
| cornet (wd:Q202027) | cornet (en)     |
| piano (wd:Q5994)    | piano (en)      |
| guitar (wd:Q6607)   | guitar (en)     |
| violin (wd:Q8355)   | violin (en)     |

[Assistant] I will finalize by returning the SPARQL query I executed (which retrieves the instruments linked to Scott Joplin) and the answer derived from its results. Then I will submit the final response.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?occupation ?occupationLabel WHERE {
  wd:Q81960 wdt:P106 ?occupation .
  OPTIONAL {
    ?occupation rdfs:label ?occupationLabel .
    FILTER ( LANG( ?occupationLabel ) = "en" )
  }
}
ORDER BY ?occupationLabel

Using entities:
Robert Burns (wd:Q81960), also known as Bard of Ayrshire, National poet of Scotland, Ploughman Poet, Rabbie Burns, Robbie Burns, etc.

Using properties:
occupation (wd:P106 as wdt), also known as avocation, career, craft, employ, employment, etc.

Got 5 rows and 2 columns:
| occupation                  | occupationLabel   |
| --------------------------- | ----------------- |
| farmer (wd:Q131512)         | farmer (en)       |
| musicologist (wd:Q14915627) | musicologist (en) |
| poet (wd:Q49757)            | poet (en)         |
| songwriter (wd:Q753110)     | songwriter (en)   |
| writer (wd:Q36180)          | writer (en)       |

Answer:
Robert Burns (wd:Q81960) has the following occupations (jobs) in Wikidata:
- wd:Q131512 — farmer
- wd:Q14915627 — musicologist
- wd:Q49757 — poet
- wd:Q753110 — songwriter
- wd:Q36180 — writer

SPARQL query used:
SELECT ?occupation ?occupationLabel WHERE {
  wd:Q81960 wdt:P106 ?occupation .
  OPTIONAL { ?occupation rdfs:label ?occupationLabel . FILTER(LANG(?occupationLabel) = "en") }
} ORDER BY ?occupationLabel

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

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

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

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

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

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

[User] what jobs did robert burns have?

[Assistant] I will search Wikidata for the entity corresponding to "Robert Burns" to find its Q-ID, then look up properties for occupations (jobs). I'll run an entity search first.

[Tool]
Top 10 entity alternatives:
1. Robert Burns (wd:Q81960), also known as Bard of Ayrshire, National poet of Scotland, Ploughman Poet, Rabbie Burns, Robbie Burns, etc.: Scottish poet and lyricist (1759–1796) / has occupation musicologist / has occupation songwriter / has occupation farmer / has occupation writer / is instance of human / has occupation poet
2. Robert Hunter (wd:Q1375663, matched via Robert Burns), also known as Robert Burns, Robert C. Christie Hunter: American lyricist, musician, singer-songwriter, translator, and poet / has occupation translator / has occupation songwriter / has occupation Guitarist / has occupation guitarist / has occupation lyricist / has occupation Lyricist / has occupation musician / has occupation writer / has occupation singer / is instance of human / has occupation poet
3. Bob Burns (wd:Q887831, matched via Robert Burns), also known as Robbie Burn, Robert Burns, Robin Burn, Robin William Burn: American musical comedian (1890–1956) / has occupation radio personality / has occupation businessperson / has occupation film actor / has occupation comedian / has occupation musician / is instance of human
4. Robert Burns (wd:Q7342516), also known as Robert Clayton Burns: has occupation visual artist / has occupation art educator / British artist (1869-1941) / has occupation designer / has occupation painter / is instance of human / British artist / British artist
5. Robert Burns (wd:Q2156654): American politician (1792-1866) / has occupation politician / is instance of human
6. Robert Burns (wd:Q27824730): has occupation sport cyclist / is instance of human / Australian cyclist / Australian cyclist / Australian cyclist
7. Robert Burns (wd:Q15997904), also known as William Robert Burns: American attorney and politician in Oklahoma (1874-1950) / has occupation politician / has occupation lawyer / is instance of human
8. Robert Burns (wd:Q3434685): Canadian politician (1936–2014) / has occupation trade unionist / has occupation politician / has occupation lawyer / has occupation judge / is instance of human / Canadian politician / Canadian politician
9. Robert H. Burns (wd:Q16066723, matched via Robert Burns), also known as Robert Burns: American politician in Wisconsin (1870-19__) / has occupation politician / is instance of human
10. Bob Burns III (wd:Q4931984, matched via Robert Burns), also known as Bob Burns, Kogar, Robert Burns: American film historian and actor / has occupation property designer / has occupation film historian / has occupation film actor / is instance of human

[Assistant] I'll search for properties of Robert Burns (wd:Q81960) related to "occupation" to confirm which property holds job information.

[Tool]
Top 10 property alternatives:
1. occupation (wd:P106 as p/wdt), also known as avocation, career, craft, employ, employment, etc.: occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of work (wd:P101 as p/wdt, matched via work field), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in
3. notable work (wd:P800 as p/wdt, matched via work), also known as artwork, author of, bibliography, books by, creator of, etc.: notable scientific, artistic or literary work, or other work of significance among subject's works / notable scientific, artistic or literary work, or other work of significance among subject's works
4. residence (wd:P551 as p/wdt, matched via place of residence), also known as address, has resided in, home city, home town, hometown, etc.: the place where the person is, or has been, resident / the place where the person is or has been, resident / is subproperty of location
5. country of citizenship (wd:P27 as p/wdt, matched via nationality), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.: the object is a country that recognizes the subject as its citizen / the object is a country that recognizes the subject as its citizen / is subproperty of country
6. ethnic group (wd:P172 as p, matched via people), also known as (cultural) nationality, culture, ethnicity, ethnic or cultural origin, people, etc.: subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such) / subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such)
7. place of birth (wd:P19 as p/wdt), also known as birth city, birth location, birth place, birthplace, born, etc.: most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known birth location of a person, animal or fictional character / is subproperty of location
8. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
9. Open Library ID (wd:P648 as p/wdt/wdtn, matched via OLID), also known as OL ID, OLID, Open Library author ID, OpenLibrary author ID, Open Library book ID, etc.: identifier in "the Internet Archive" for information about a work ("W"), edition ("M") or author ("A") of a book / identifier for a work ("W"), edition ("M") or author ("A") for book data of the Internet Archive
10. spouse (wd:P26 as p/wdt, matched via partner), also known as common-law husband, common-law spouse, common-law wife, husband, husbands, etc.: the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / is subproperty of significant person / is subproperty of relative

No other items found

[Assistant] I'll list the occupation statements for Robert Burns (wd:Q81960) to see the specific occupations recorded.

[Tool]
Got 5 rows and 3 columns:
| subject                  | property              | object                      |
| ------------------------ | --------------------- | --------------------------- |
| Robert Burns (wd:Q81960) | occupation (wdt:P106) | writer (wd:Q36180)          |
| Robert Burns (wd:Q81960) | occupation (wdt:P106) | poet (wd:Q49757)            |
| Robert Burns (wd:Q81960) | occupation (wdt:P106) | farmer (wd:Q131512)         |
| Robert Burns (wd:Q81960) | occupation (wdt:P106) | musicologist (wd:Q14915627) |
| Robert Burns (wd:Q81960) | occupation (wdt:P106) | songwriter (wd:Q753110)     |

[Assistant] Next I'll run a SPARQL query that retrieves the occupations (P106) of Robert Burns (wd:Q81960), and also fetch English labels for those occupation items. This will give the item IRIs (required) plus readable labels. I'll execute the query now.

[Tool]
Got 5 rows and 2 columns:
| occupation                  | occupationLabel   |
| --------------------------- | ----------------- |
| farmer (wd:Q131512)         | farmer (en)       |
| musicologist (wd:Q14915627) | musicologist (en) |
| poet (wd:Q49757)            | poet (en)         |
| songwriter (wd:Q753110)     | songwriter (en)   |
| writer (wd:Q36180)          | writer (en)       |

[Assistant] I'll now finalize by returning the SPARQL query I executed (which retrieves the occupation IRIs and their English labels for Robert Burns wd:Q81960) and the concise answer listing the job items and labels. Then I'll call the answer function to finish.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item ?postalCode WHERE {
  wd:Q5083 wdt:P281 ?postalCode .
  BIND( wd:Q5083 AS ?item )
}
ORDER BY ?postalCode

Using entities:
Seattle (wd:Q5083), also known as Duwamps, Emerald City, New York Alki, Seattle, WA, Seattle, Washington

Using properties:
postal code (wd:P281 as wdt), also known as pincode, PIN Code, postal index number, post code, postcode, etc.

Answer: Wikidata lists the postal code for Seattle (wd:Q5083) as 98101.

what the zip code for seattle washington?

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

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

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

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

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

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

[User] what the zip code for seattle washington?

[Assistant] Step 1: I'll search Wikidata for the Seattle entity to find its identifier (I will verify I don't assume QIDs). Then I'll look for a property for postal code (likely P281) and check how postal codes are recorded for cities like Seattle. I'll start by searching for "Seattle".

[Tool]
Top 10 entity alternatives:
1. Seattle (wd:Q5083), also known as Duwamps, Emerald City, New York Alki, Seattle, WA, Seattle, Washington: city in and county seat of King County, State of Washington, United States / is instance of city in the United States / is instance of city of the United States / is instance of county seat / is instance of big city
2. Chief Seattle (wd:Q216477, matched via Seattle), also known as Chief Noah, Chief Sealth, Chief Seathl, Chief See-ahth, Chief Si'ahl, etc.: has occupation traditional leader or chief / is instance of human / Duwamish chief
3. Star City (wd:Q1419655, matched via Seattle), also known as Seattle, Starling City: is instance of fictional city / fictional city in DC comics
4. Seattle (wd:Q17462536): is instance of Arcade system board / is instance of arcade system board / arcade system board / arcade system board
5. Seattle (wd:Q7442046): is instance of album / album by Perry Como
6. Seattle (wd:Q7442047): song composed in the late 1960s / is instance of single
7. Dahlia 'Seattle' (wd:Q21160665, matched via Seattle), also known as Seattle: is instance of Dahlia cultivar / Dahlia cultivar
8. Seattle (wd:Q16164200): is instance of single / single
9. SEATTLE (wd:Q130951105): scientific article published on 03 March 2011 / is instance of scholarly article / is instance of academic article
10. Seattle (wd:Q132803111): journal article from 'Cities' published in 1990 / is instance of scholarly article / is instance of academic article

[Assistant] Next, I'll search for the property that represents "postal code" in Wikidata to confirm its identifier (I expect P281). I'll run a property search for "postal code".

[Tool]
Top 10 property alternatives:
1. postal code (wd:P281 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as pincode, PIN Code, postal index number, post code, postcode, etc.: identifier assigned by postal authorities for the subject area or building / identifier assigned by postal authorities for the subject area / identifier assigned by postal authorities for the subject area
2. street address (wd:P6375 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via postal address), also known as address, full address, located at street address, mail address, mailing address, etc.: full street address where subject is located. Include ... use also P669 if the street has its own separate item / full street address that the subject is located at. Include ... use also P669 if the street is known as a separate element / full street address that the subject is located at. Include ... use also P669 if the street is known as a separate element
3. post town (wd:P4595 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via postal city), also known as postal city, postal town, P4595: town/city part of the postal address, can be different from administrative location / town/city part of the postal address, can be different from administrative location / town/city part of the postal address, can be different from administrative location
4. urban area census code (wd:P12704 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as UACE, P12704: unique identifier assigned by the United States Census Bureau to an urban area
5. station code (wd:P296 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as station identifier, station number, station numbering, telegraph code, P296: generic identifier for a railway station, when possible, use ... coding system (e.g. P1378 for China Railway TMIS codes) / generic identifier for a railway station, when possible, use ... coding system (e.g. P1378 for China Railway TMIS codes) / generic identifier for a railway station, when possible, use ... coding system (e.g. P1378 for China Railway TMIS codes) / is subproperty of location code
6. local dialing code (wd:P473 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via area code), also known as area code, dialling code, local calling code, local dialling code, STD code, etc.: identifier dedicated to subject city by the area communication network / code to identify a local area in a telephone network
7. PLC (primary location code) (wd:P12783 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via primary location code), also known as PLC, primary location code, railway station, P12783: primary location code of railway station
8. official number of town quarter (wd:P5901 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via district number), also known as Chak number, district number, region number, village number, P5901: official number for the administrative division or section, region or part of a town
9. electoral district number (wd:P4565 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via district number), also known as district number, P4565: number of the constituency/electoral district established by ... lack legal force, even if contained in a government database.
10. Swedish district code (wd:P1841 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via district code), also known as district code, P1841: identifier for Swedish districts from 2016

[Assistant] Now I'll inspect the Seattle entity (wd:Q5083) to see if it has a postal code (P281) statements. I'll list triples for subject wd:Q5083 and property wdt:P281.

[Tool]
Got 1 row and 3 columns:
| subject            | property               | object |
| ------------------ | ---------------------- | ------ |
| Seattle (wd:Q5083) | postal code (wdt:P281) | 98101  |

[Assistant] I'll run a final SPARQL query that retrieves all postal code (P281) values for Seattle (wd:Q5083). This will ensure we capture every ZIP code listed on Wikidata for the city. Now I'll execute the query.

[Tool]
Got 1 row and 2 columns:
| item               | postalCode |
| ------------------ | ---------- |
| Seattle (wd:Q5083) | 98101      |

[Assistant] I will now provide the final answer.

[Tool] Stopping


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT ?relationType ?partner ?partnerLabel ?start ?end WHERE {
  {
    wd:Q575689 p:P451 ?psnode .
    ?psnode ps:P451 ?partner .
    OPTIONAL {
      ?psnode pq:P580 ?start .
    }
    OPTIONAL {
      ?psnode pq:P582 ?end .
    }
    BIND( "unmarried partner" AS ?relationType )
  } UNION {
    wd:Q575689 p:P26 ?psnode .
    ?psnode ps:P26 ?partner .
    OPTIONAL {
      ?psnode pq:P580 ?start .
    }
    OPTIONAL {
      ?psnode pq:P582 ?end .
    }
    BIND( "spouse" AS ?relationType )
  }
  OPTIONAL {
    ?partner rdfs:label ?partnerLabel FILTER ( LANG( ?partnerLabel ) = "en" )
  }
}
ORDER BY ?relationType ?start

Using entities:
Kourtney Kardashian (wd:Q575689), also known as Kourtney, Kourtney Kardashian Barker, Kourtney Mary Kardashian

Using properties:
spouse (wd:P26 as p/ps), also known as common-law husband, common-law spouse, common-law wife, husband, husbands, etc.
unmarried partner (wd:P451 as p/ps), also known as boyfriend, cohabitant, domestic partner, enbyfriend, girlfriend, etc.
start time (wd:P580 as pq), also known as began, beginning, building date, effective, effectivity, etc.
end time (wd:P582 as pq), also known as abolished, cease date, cease operation, cease time, closed, etc.

Answer:
Kourtney Kardashian (wd:Q575689) has the following partners recorded on Wikidata:

- Scott Disick (wd:Q7883337), listed as "unmarried partner", with relationship dates circa 2006–2015.
- Younes Bendjima (wd:Q55200042), listed as "unmarried partner", with relationship dates circa 2017–2018.
- Travis Barker (wd:Q220140), listed both as an "unmarried partner" (2020–2022) and as "spouse" (married in 2022).

what kourtney kardashian boyfriends name?

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

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

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

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

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

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

[User] what kourtney kardashian boyfriends name?

[Assistant] I will first find the Wikidata item for Kourtney Kardashian, then inspect properties that record partners or significant others (e.g., partner, spouse, significant other). I'll search for the entity, then query its partner/spouse properties to get the names. I'll explain each step and run queries to verify results. Now I'll search for the Wikidata entity for "Kourtney Kardashian".

[Tool]
Top 10 entity alternatives:
1. Kourtney Kardashian (wd:Q575689), also known as Kourtney, Kourtney Kardashian Barker, Kourtney Mary Kardashian: American media personality, model and businesswoman (born 1979) / has occupation media personality / has occupation fashion designer / has occupation television actor / has occupation businessperson / has occupation entrepreneur / has occupation Entrepreneur / has occupation socialite / has occupation celebrity / has occupation actor / has occupation model / has occupation Model / is instance of human
2. Kim Kardashian (wd:Q186304), also known as Kimberly Kardashian, Kimberly Noel Kardashian, Kimberly Noel Kardashian-West, Kim K, Kim K., etc.: American media personality, businesswoman, model and actress (born 1980) / American television and social media personality / has occupation erotic photography model / has occupation television producer / has occupation fashion designer / has occupation glamour model / has occupation entrepreneur / has occupation Entrepreneur / has occupation voice actor / has occupation socialite / has occupation celebrity / has occupation blogger / has occupation Model / has occupation actor / has occupation model / is instance of human
3. Kanye West (wd:Q15935, matched via Kanye Kardashian), also known as Kanye, Kanye Kardashian, Kanye Omari West, Ye, Yeezy: American rapper, singer, record producer, and fashion designer (born 1977) / American rapper, record producer, singer and fashion designer (born 1977) / has occupation fashion designer / has occupation record producer / has occupation businessperson / has occupation Entrepreneur / has occupation entrepreneur / has occupation songwriter / has occupation director / has occupation overseer / has occupation singer / has occupation rapper / is instance of human
4. Khloé Kardashian (wd:Q231270), also known as Khloe Alexandra Kardashian, Khloé Alexandra Kardashian, Khloé Alexandra Kardashian Odom, Khloe Kardashian, Khloe Kardashian Odom, etc.: American media personality,influencer, businesswoman (born 1984) / has occupation radio personality / has occupation fashion designer / has occupation television actor / has occupation film producer / has occupation Film producer / has occupation manufacturer / has occupation Entrepreneur / has occupation entrepreneur / has occupation film actor / has occupation socialite / has occupation celebrity / has occupation novelist / has occupation writer / has occupation Model / has occupation actor / has occupation model / is instance of human
5. Kris Jenner (wd:Q1138235, matched via Kris Kardashian), also known as Chris Jenner, Kris Houghton, Kris Kardashian, Kristen Houghton, Kristen Jenner, etc.: American media personality, socialite, and businesswoman / has occupation television presenter / has occupation television producer / has occupation flight attendant / has occupation Flight attendant / has occupation socialite / has occupation celebrity / has occupation author / has occupation actor / is instance of human
6. Robert Kardashian (wd:Q1816737), also known as Robert George Kardashian, Robert G. Kardashian, Rob Kardashian: American attorney and businessman (1944–2003) / has occupation Entrepreneur / has occupation entrepreneur / has occupation jurist / has occupation lawyer / has occupation Jurist / is instance of human
7. Rob Kardashian (wd:Q26318), also known as Robert Arthur Kardashian: American television personality and businessman / has occupation television actor / has occupation businessperson / has occupation socialite / has occupation Model / has occupation model / is instance of human
8. Kardashian-Jenner family (wd:Q95747857, matched via Kardashian family), also known as Kardashian family, Kardashians: American family prominent in entertainment, business, and fashion / is instance of family
9. Kardashian Index (wd:Q18387077), also known as K-Index: measure of the discrepancy between a scientist's social media profile and publication record / is instance of citation index
10. Kourtney Keegan (wd:Q26722249), also known as Kourtney Jean Keegan: has occupation tennis player / American tennis player / is instance of human

[Assistant] Next I'll search for properties on Kourtney Kardashian's Wikidata item related to partners, spouses, or romantic relationships to find names of her boyfriend(s). I'll query properties like "partner", "spouse", "significant other". I'll search for properties with query terms "partner", "spouse", and "significant".

[Tool]
Top 10 property alternatives:
1. unmarried partner (wd:P451 as p/wdt, matched via partner), also known as boyfriend, cohabitant, domestic partner, enbyfriend, girlfriend, etc.: someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples / someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples / is subproperty of significant person
2. spouse (wd:P26 as p/wdt, matched via partner), also known as common-law husband, common-law spouse, common-law wife, husband, husbands, etc.: the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / is subproperty of significant person / is subproperty of relative
3. relative (wd:P1038 as p/wdt, matched via relation), also known as ancestor, aunt, aunt-in-law, brother-in-law, co-brother-in-law, etc.: family member (qualify with "kinship to subject", P1039; for direct family member please use specific property) / family member (qualify with "type of kinship", P1039; for direct family member please use specific property) / is subproperty of significant person
4. mother (wd:P25 as p/wdt, matched via parent), also known as child of, daughter of, has mother, is child of, is daughter of, etc.: female parent of the subject. For stepmother, use "stepparent" (P3448) / female parent of the subject. For stepmother, use "stepparent" (P3448) / female parent of the subject. For stepmother, use "stepparent" (P3448) / is subproperty of parent
5. father (wd:P22 as p/wdt, matched via parent), also known as child of, dad, daddy, daughter of, has father, etc.: male parent of the subject. For stepfather, use "stepparent' (P3448) / male parent of the subject. For stepfather, use "stepparent" (P3448) / male parent of the subject. For stepfather, use "stepparent" (P3448) / is subproperty of parent
6. social media followers (wd:P8687 as p/wdt, matched via followers), also known as follow count, follower count, follower number, followers, follow number, etc.: number of subscribers on a particular social media website ... time" and property for account. For Twitter, use numeric id.
7. ethnic group (wd:P172 as p/wdt, matched via people), also known as (cultural) nationality, culture, ethnicity, ethnic or cultural origin, people, etc.: subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such) / subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such)
8. birth name (wd:P1477 as p/wdt, matched via né), also known as birthname, bn, bname, born as, full birth name, etc.: full name of a person at birth, if different from their ... John Peter Doe for Joe Doe, Ann Smith for Ann Miller) / full name of a person at birth, if different from their current, generally used name / full name of a person at birth, if different from their current name / is subproperty of name
9. number of children (wd:P1971 as p/wdt, matched via issue), also known as children, children (number), how many children, issue, kids, etc.: number of children of the person. Mainly in cases where the full list isn't or shouldn't be added in "child" (P40). / number of children of the person, animal, or character
10. child (wd:P40 as p/wdt, matched via issue), also known as children, daughter, daughters, descendants, father of, etc.: subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039) / subject has the object in their family as their offspring son or daughter (independently of their age) / subject has object as biological, foster, and/or adoptive child / is subproperty of significant person / is subproperty of relative

No other items found

[Assistant] I'll query Kourtney Kardashian's Wikidata item (wd:Q575689) for values of the properties "unmarried partner" (P451) and "spouse" (P26). I'll request English rdfs:label for each partner to get readable names. Now I'll run a SPARQL SELECT to retrieve these partners.

[Tool]
Got 3 rows and 3 columns:
| prop              | partner                        | partnerLabel         |
| ----------------- | ------------------------------ | -------------------- |
| spouse            | Travis Barker (wd:Q220140)     | Travis Barker (en)   |
| unmarried partner | Younes Bendjima (wd:Q55200042) | Younes Bendjima (en) |
| unmarried partner | Scott Disick (wd:Q7883337)     | Scott Disick (en)    |

[Assistant] I'll run a refined SPARQL query that retrieves Kourtney Kardashian's partners (spouse and unmarried partners), including the partner item IRIs, English labels, and any start/end qualifiers on the relationship statements. Now I'll execute that query.

[Tool]
Got 4 rows and 5 columns:
| prop              | partner                        | partnerLabel         | start                               | end                                 |
| ----------------- | ------------------------------ | -------------------- | ----------------------------------- | ----------------------------------- |
| spouse            | Travis Barker (wd:Q220140)     | Travis Barker (en)   | 2022-05-15T00:00:00Z (xsd:dateTime) |                                     |
| unmarried partner | Scott Disick (wd:Q7883337)     | Scott Disick (en)    | 2006-01-01T00:00:00Z (xsd:dateTime) | 2015-01-01T00:00:00Z (xsd:dateTime) |
| unmarried partner | Younes Bendjima (wd:Q55200042) | Younes Bendjima (en) | 2017-01-01T00:00:00Z (xsd:dateTime) | 2018-01-01T00:00:00Z (xsd:dateTime) |
| unmarried partner | Travis Barker (wd:Q220140)     | Travis Barker (en)   | 2020-01-01T00:00:00Z (xsd:dateTime) | 2022-04-04T00:00:00Z (xsd:dateTime) |

[Assistant] I will run a final SPARQL query that retrieves Kourtney Kardashian's unmarried partners and spouse (IRIs and English labels), including start/end dates of the relationships when available. This verifies current and past boyfriends. I'll execute the query now.

[Tool]
Got 4 rows and 5 columns:
| relationType      | partner                        | partnerLabel         | start                               | end                                 |
| ----------------- | ------------------------------ | -------------------- | ----------------------------------- | ----------------------------------- |
| spouse            | Travis Barker (wd:Q220140)     | Travis Barker (en)   | 2022-05-15T00:00:00Z (xsd:dateTime) |                                     |
| unmarried partner | Scott Disick (wd:Q7883337)     | Scott Disick (en)    | 2006-01-01T00:00:00Z (xsd:dateTime) | 2015-01-01T00:00:00Z (xsd:dateTime) |
| unmarried partner | Younes Bendjima (wd:Q55200042) | Younes Bendjima (en) | 2017-01-01T00:00:00Z (xsd:dateTime) | 2018-01-01T00:00:00Z (xsd:dateTime) |
| unmarried partner | Travis Barker (wd:Q220140)     | Travis Barker (en)   | 2020-01-01T00:00:00Z (xsd:dateTime) | 2022-04-04T00:00:00Z (xsd:dateTime) |

[Assistant] I'll now provide the final SPARQL query and answer to the user, along with an explanation of the steps and results.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country ?countryLabel WHERE {
  wd:Q192955 wdt:P27 ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel .
    FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Using entities:
Steve Nash (wd:Q192955), also known as Stephen John Nash

Using properties:
country of citizenship (wd:P27 as wdt), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.

Got 2 rows and 2 columns:
| country                  | countryLabel        |
| ------------------------ | ------------------- |
| United Kingdom (wd:Q145) | United Kingdom (en) |
| Canada (wd:Q16)          | Canada (en)         |

Answer: The query returns two countries of citizenship for Steve Nash: Canada (wd:Q16) and the United Kingdom (wd:Q145). Therefore, Steve Nash is Canadian and British (holds citizenship of both Canada and the United Kingdom).

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

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

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

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

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

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

[User] what is steve nash nationality?

[Assistant] Step 1 — I will search the knowledge graph for the entity "Steve Nash" to find the exact Wikidata item I should query. I'll now run a search for that entity.

[Tool]
Top 10 entity alternatives:
1. Steve Nash (wd:Q192955), also known as Stephen John Nash: Canadian basketball player and coach / has occupation basketball player / has occupation basketball coach / has occupation businessperson / has occupation film director / is instance of human
2. Steve Nash (wd:Q16137022): English rugby league footballer and coach / has occupation rugby league player / is instance of human
3. Steve Nash (wd:Q48851147): has occupation disc jockey / is instance of human / has occupation DJ
4. Steve Nash (wd:Q42316961): has occupation actor / is instance of human / actor
5. Steven Jackson (wd:Q3499240, matched via Steven Nash Jackson), also known as Steven Nash Jackson: has occupation baseball player / American baseball player / is instance of human
6. Steven G. Nash (wd:Q98756087): has occupation businessperson / has occupation politician / is instance of human / American politician
7. Steven Roy Nash (wd:Q76187877), also known as Dr. Steven Roy Nash: Peerage person ID=590989 / is instance of human
8. Edward Mungo Steven Nash (wd:Q76187880), also known as Edward Nash: is instance of human / (born 1990)
9. Nash v. Nash (wd:Q125279638): is instance of decision of the Supreme Court of Canada / case from the Supreme Court of Canada
10. Richard Nash [nashricha0005026] (wd:Q103882781): is instance of encyclopaedic article / is instance of encyclopedia article / article in Electronic Enlightenment

[Assistant] Step 2 — I'll search for the property that represents nationality/country of citizenship in Wikidata (likely "country of citizenship" / P27). I'll search for properties related to "nationality".

[Tool]
Top 10 property alternatives:
1. country of citizenship (wd:P27 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via nationality), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.: the object is a country that recognizes the subject as its citizen / the object is a country that recognizes the subject as its citizen / is subproperty of country
2. country for sport (wd:P1532 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via representative nationality), also known as representative nationality, sport country, sporting nationality, sport nationality, sports country, etc.: country a person or a team represents when playing a sport / is subproperty of country
3. ethnic group (wd:P172 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via (cultural) nationality), also known as (cultural) nationality, culture, ethnicity, ethnic or cultural origin, people, etc.: subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such) / subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such)
4. country of origin (wd:P495 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via origin country), also known as comes from, CoO, country, originates from, origin country, etc.: country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / is subproperty of significant place / is subproperty of country
5. applies to jurisdiction (wd:P1001 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via country of jurisdiction), also known as applicable area, applicable country, applicable geographic place, applicable jurisdiction, applicable location, etc.: the item (institution, law, public office, public ... jurisdiction: a country, state, municipality, ...) / the item (an institution, law, public office ...) or ... jurisdiction: a country, state, municipality, ...) / is subproperty of characteristic of / is subproperty of significant place / is subproperty of operating area
6. population (wd:P1082 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as human population, inhabitants, P1082: number of people inhabiting the place; number of people of subject / number of people inhabiting the place; number of people of subject / number of people inhabiting the place; number of people of subject
7. tabular population (wd:P4179 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via population), also known as population, P4179: same as population (P1082); used when there is data for many different points in time
8. place of birth (wd:P19 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as birth city, birth location, birth place, birthplace, born, etc.: most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known birth location of a person, animal or fictional character / is subproperty of location
9. valid in place (wd:P3005 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via country), also known as applies to country, applies to location, applies to place, country, true in, etc.: is subproperty of applies to part / place where a statement is valid / place where a statement is valid
10. country (wd:P17 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity

[Assistant] Step 3 — I'll run a SPARQL query to get the values of property "country of citizenship" (P27) for the Wikidata item for Steve Nash (wd:Q192955). This will verify exactly which country items are recorded as his citizenship(s). I'll now execute the query.

[Tool]
Got 2 rows and 2 columns:
| country                  | countryLabel        |
| ------------------------ | ------------------- |
| United Kingdom (wd:Q145) | United Kingdom (en) |
| Canada (wd:Q16)          | Canada (en)         |

[Assistant] I will finalize by returning the SPARQL query I executed (which retrieves the country of citizenship values for Steve Nash) and the concise answer based on its results.

[Tool] Stopping