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:Q148 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Using entities:
People's Republic of China (wd:Q148), also known as 🇨🇳, China, China PR, CHN, cn, 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           |
| ------------------------------- | ----------------------- |
| Standard Chinese (wd:Q727694)   | Standard Chinese (en)   |
| Chinese (wd:Q7850)              | Chinese (en)            |
| languages of China (wd:Q835866) | languages of China (en) |

Answer: The official languages of the People's Republic of China (wd:Q148) returned by Wikidata include Standard Chinese (wd:Q727694). The primary/official language is Standard Chinese (Mandarin).

[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 the primary language of china?

[Assistant] I will (1) identify the relevant Wikidata entity for China and the property that represents a country's primary/official language, (2) verify those identifiers, and (3) build and run a SPARQL query returning the language(s) for China. I'll now search for the property corresponding to "official language".

[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 search for the Wikidata item for "China" to get its Q-id.

[Tool]
Top 10 entity alternatives:
1. People's Republic of China (wd:Q148, matched via China), also known as 🇨🇳, China, China PR, CHN, cn, etc.: is instance of dictatorship of the proletariat / is instance of state with limited recognition / is instance of constitutional republic / is instance of people's republic / is instance of socialist state / is instance of Socialist state / is instance of communist state / is instance of sovereign state / is instance of Secular state / is instance of secular state / is instance of country / country in East Asia / country in East Asia / country in East Asia / country in East Asia
2. porcelain (wd:Q130693, matched via china), also known as china, fine china: is subclass of fine ceramic / is subclass of ceramic / ceramic material
3. China (wd:Q29520), also known as All under Heaven, Cathay, Celestial Kingdom, Central Kingdom, Chinese Empire, etc.: cultural region, ancient civilization, and nation in East ... political situation and rarely refer to the Republic of China / cultural region, ancient civilization, and nation in East ... into the People's Republic of China and the Republic of China / cultural region, ancient civilization, and nation in East Asia / is instance of ancient civilization / is instance of cultural region / is instance of divided region / is instance of state
4. 1125 China (wd:Q136211, matched via China), also known as (1125) China, China: is instance of asteroid / asteroid / asteroid / asteroid
5. China (wd:Q288864), also known as China, Texas, China, TX: city in Jefferson County, Texas, United States / is instance of town in the United States / is instance of city
6. China (wd:Q3447500), also known as China, Maine, China, ME: town in Kennebec County, Maine, United States / is instance of town in the United States
7. China (wd:Q932423): town in Ōshima district, Kagoshima prefecture, Japan / is instance of town of Japan
8. Tianxia (wd:Q955223, matched via China), also known as All under Heaven, China, Tiene-hia, Tien-hia, T'ien-hsia, etc.: Chinese cultural, philosophical, and political concept
9. China (wd:Q1364589): 1979 studio album by Vangelis / is instance of album
10. China (wd:Q942154): municipality in the Nuevo León, Mexico / is instance of municipality of Mexico

[Assistant] Now I'll run a SPARQL query that looks up the official language(s) (property P37) of the People's Republic of China (wd:Q148). I will request the language entity IRIs and their English labels (via rdfs:label filtered to "en") so we can read the result.

[Tool]
Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| Standard Chinese (wd:Q727694)   | Standard Chinese (en)   |
| Chinese (wd:Q7850)              | Chinese (en)            |
| languages of China (wd:Q835866) | languages of China (en) |

[Assistant] I'll search for properties that could indicate "primary", e.g., de facto official language, most spoken language, or similar, to see if Wikidata encodes which official language is primary.

[Tool]
Top 10 property alternatives:
1. language of work or name (wd:P407 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language of name), 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)
2. languages spoken, written or signed (wd:P1412 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language(s) spoken, written or signed), 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)
3. Wikidata language code (wd:P9753 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language code (Wikidata)), also known as alias language code, description language code, label language code, language code (Wikidata), lexeme language code, etc.: identifier for a language or variant at Wikidata (use P424 ... language code) to identify the language of a Wikimedia wiki) / identifier for a language or variant at Wikidata. Use P424 ... language code) to identify the language of a Wikimedia wiki. / identifier for a language or variant at Wikidata. Use P424 ... language code) to identify the language of a Wikimedia wiki. / is subproperty of Wikimedia language code
4. UNESCO Atlas of the World's Languages in Danger ID (wd:P2355 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via UNESCO endangered language ID), also known as Atlas of the World's Languages in Danger ID, AWLD ID, UNESCO endangered language ID, UNESCO language ID, World's Languages in Danger ID, etc.: identifier for endangered languages listed by UNESCO
5. endangeredlanguages.com ID (wd:P2192 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via Catalogue of Endangered Languages ID), also known as Catalogue of Endangered Languages ID, ELCat ID, P2192: identifier of a language on the website endangeredlanguages.com
6. 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
7. 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
8. 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
9. Statistics Indonesia language code (wd:P2590 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as BPS language code, language code by BPS, P2590: language code in Indonesia issued by Statistics Indonesia (Badan Pusat Statistik)
10. population by native language (wd:P12712 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as native language population, P12712: native language population of a place / is subproperty of population

[Assistant] I will inspect the specific P37 statements for the People's Republic of China (wd:Q148) to see if any qualifier indicates a primary/de facto language. I'll list triples for that subject and property.

[Tool]
Got 3 rows and 3 columns:
| subject                              | property                    | object                          |
| ------------------------------------ | --------------------------- | ------------------------------- |
| People's Republic of China (wd:Q148) | official language (wdt:P37) | Standard Chinese (wd:Q727694)   |
| People's Republic of China (wd:Q148) | official language (wdt:P37) | Chinese (wd:Q7850)              |
| People's Republic of China (wd:Q148) | official language (wdt:P37) | languages of China (wd:Q835866) |

[Assistant]
The wdt:P37 returns multiple values. The user asked "what is the primary language of china?" They probably mean the predominant/official language: Standard Chinese (Mandarin). I should craft a SPARQL query that returns which official language is designated as the national language or most spoken. Wikidata often uses "official language" P37 with qualifiers like "applies to part" or "start time". There is also property "official language" as shown containing Standard Chinese. To answer "primary language", it's reasonable to return Standard Chinese (Q727694) and label "Standard Chinese (Mandarin)".

I'll construct a query that fetches P37 values and additionally try to prefer Standard Chinese if present by filtering to language items that are instances/subclass of Sinitic language or Mandarin. But must avoid extra computation outside SPARQL. Simpler: return all P37 values along with labels and let the user see Standard Chinese. But instruction: "The SPARQL query should always return the actual identifiers / IRIs of the items". Okay.

I'll run a query to get the P37 values and their English labels and also include the "most spoken language" maybe via property P2810? Let me search for "mandarin" entity.

[Tool]
Top 10 entity alternatives:
1. Standard Chinese (wd:Q727694, matched via Standard Mandarin Chinese), also known as Chinese, Guanhua, Guoyu, Huayu, Kuo-yü, etc.: standard form of Chinese and the official language of China / is instance of pluricentric language / is instance of technical standard / is instance of standard language / is subclass of Beijing Mandarin / is instance of modern language / is instance of language
2. Lithuanian phonology (wd:Q18349866, matched via Lithuanian and Standard Mandarin Chinese phonology), also known as Lithuanian and Standard Mandarin Chinese phonology: phonology of the Lithuanian language / is instance of phonological system
3. Tonal mapping of Xi'an Mandarin and Standard Chinese (wd:Q94486993): scientific article published on 01 April 2020 / scientific article published in April 2020 / scientific article published in April 2020 / is instance of scholarly article / is instance of academic article
4. Mandarin (wd:Q9192, matched via Mandarin Chinese), also known as Guanhua, Mandarin Chinese: major branch of Chinese spoken across most of northern and southwestern China / is instance of language / is subclass of Chinese
5. written vernacular Chinese (wd:Q783605, matched via Standard Written Chinese), also known as baihua, Standard Written Chinese: The forms of written Chinese based on the varieties of Chinese spoken throughout China, as opposed to Classical Chinese. / is subclass of written Chinese language / is instance of written language
6. China Standard Time (wd:Q1143153, matched via Chinese Standard Time), also known as Beijing Time, Chinese Standard Time, CST: is instance of time zone / time zone
7. Standard Taiwanese Mandarin (wd:Q262828), also known as Biāozhǔn Guóyǔ, cmn-TW, Guóyǔ, Kuo-yü, Standard Guoyu, etc.: variety of Modern Standard Chinese serving as the official language of the Republic of China (Taiwan) / is instance of official language / is subclass of Beijing Mandarin / is instance of lingua franca / is instance of dialect
8. Standard Chinese phonology (wd:Q3407478): sounds used in Modern Standard Mandarin Chinese / is instance of phonological system / is subclass of phonology
9. Chinese standard movement (wd:Q5100939): Chinese mechanical watch movement
10. homophonic puns in Mandarin Chinese (wd:Q16382937, matched via Mandarin Chinese puns), also known as Chinese homophonic puns, Chinese puns, homophonic puns in Chinese, homophonic puns in Standard Chinese, homophonic puns in Standard Mandarin, etc.: common linguistics and jocular phenomenon / is subclass of pun / is subclass of Pun

[Assistant] I'll now run the final SPARQL query that returns the official languages of China (wd:Q148), including the language IRIs and English labels. This will verify Standard Chinese is among them.

[Tool]
Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| Standard Chinese (wd:Q727694)   | Standard Chinese (en)   |
| Chinese (wd:Q7850)              | Chinese (en)            |
| languages of China (wd:Q835866) | languages of China (en) |

[Assistant] I will present the final answer: the primary language is Standard Chinese (Mandarin). I'll return the SPARQL query and the answer string.

[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 ?owner ?ownerLabel WHERE {
  wd:Q156578 wdt:P127 ?owner .
  OPTIONAL {
    ?owner rdfs:label ?ownerLabel .
    FILTER ( LANG( ?ownerLabel ) = "en" )
  }
}
ORDER BY ?ownerLabel

Using entities:
Volkswagen Group (wd:Q156578), also known as Volkswagen, VOLKSWAGEN AG, Volkswagen Aktiengesellschaft, VOLKSWAGEN AKTIENGESELLSCHAFT, VW, etc.

Using properties:
owned by (wd:P127 as wdt), also known as belonged to, belongs to, is owned by, owner, owners, etc.

Got 3 rows and 2 columns:
| owner                                               | ownerLabel                                 |
| --------------------------------------------------- | ------------------------------------------ |
| Hannoversche Beteiligungsgesellschaft (wd:Q1529289) | Hannoversche Beteiligungsgesellschaft (en) |
| Porsche Automobil Holding SE (wd:Q2104551)          | Porsche Automobil Holding SE (en)          |
| Qatar Investment Authority (wd:Q1571175)            | Qatar Investment Authority (en)            |

Answer: Volkswagen (Volkswagen Group, wd:Q156578) is listed on Wikidata as owned by: Hannoversche Beteiligungsgesellschaft (wd:Q1529289), Porsche Automobil Holding SE (wd:Q2104551), and the Qatar Investment Authority (wd:Q1571175).

[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] who owns volkswagen car company?

[Assistant] Step 1: I'll search for the Wikidata entity for "Volkswagen" to identify the correct item to query (there are multiple related items, e.g., Volkswagen Group, Volkswagen Beetle, etc.). I'll search the knowledge graph for entities matching "Volkswagen".

[Tool]
Top 10 entity alternatives:
1. Volkswagen (wd:Q246), also known as VW: German automotive brand; manufacturing subsidiary of Volkswagen Group / is instance of automobile manufacturer / is instance of car manufacturer / is instance of subsidiary / is instance of car brand
2. Volkswagen Group (wd:Q156578, matched via Volkswagen), also known as Volkswagen, VOLKSWAGEN AG, Volkswagen Aktiengesellschaft, VOLKSWAGEN AKTIENGESELLSCHAFT, VW, etc.: German automotive manufacturing conglomerate / is instance of multinational corporation / is instance of automobile manufacturer / is instance of car manufacturer / is instance of public company / is instance of conglomerate / is instance of business
3. .volkswagen (wd:Q24033243): is instance of generic top-level domain / top-level domain
4. Volkswagen (wd:Q30256185): company in Verona, Italy / is instance of business
5. Volkswagen (wd:Q98823874): postcard by Louise Lawler (MET, 2014.679.3) / is instance of postcard
6. Volkswagen Beetle (wd:Q152946), also known as Volkswagen Bug, Volkswagen Type 1, VW Beetle, VW Bug: is instance of automobile model series / is instance of automobile model / is subclass of compact car / is instance of car model / is instance of Car model / compact car selling
7. Volkswagen Golf (wd:Q247), also known as Volkswagen Caribe, Volkswagen Rabbit: small family car manufactured by Volkswagen / is instance of automobile model series / is subclass of C-segment
8. Volkswagen Passat (wd:Q216754), also known as VW Passat: is instance of automobile model series / is subclass of family car / Car model series
9. Volkswagen Polo (wd:Q247819), also known as Volkswagen Derby: Series of automobiles manufactured by Volkswagen / is instance of automobile model series / is subclass of supermini
10. Volkswagen Arena (wd:Q155603): is instance of association football venue / football stadium in Wolfsburg, Germany

[Assistant] I'll check the properties of the Wikidata item for "Volkswagen" (wd:Q246) to find an ownership (P127) statement.

[Tool]
Got 793 rows and 3 columns, showing the first 10 rows below:
| subject              | property                    | object                                                                       |
| -------------------- | --------------------------- | ---------------------------------------------------------------------------- |
| Volkswagen (wd:Q246) | instance of (wdt:P31)       | car brand (wd:Q10429667)                                                     |
| Volkswagen (wd:Q246) | country (wdt:P17)           | Germany (wd:Q183)                                                            |
| Volkswagen (wd:Q246) | Commons category (wdt:P373) | Volkswagen                                                                   |
| Volkswagen (wd:Q246) | image (wdt:P18)             | <http://commons.wikimedia.org/wiki/Special:FilePath/Wolfsburg%20VW-Werk.jpg> |
| Volkswagen (wd:Q246) | Freebase ID (wdt:P646)      | /m/07ywl                                                                     |
| Volkswagen (wd:Q246) | inception (wdt:P571)        | 1937-05-28T00:00:00Z (xsd:dateTime)                                          |
| Volkswagen (wd:Q246) | short name (wdt:P1813)      | VW (de)                                                                      |
| Volkswagen (wd:Q246) | GND ID (wdtn:P227)          | <https://d-nb.info/gnd/4377744-2>                                            |
| Volkswagen (wd:Q246) | official website (wdt:P856) | <https://www.vw.com/>                                                        |
| Volkswagen (wd:Q246) | award received (wdt:P166)   | Ig Nobel Prize (wd:Q184253)                                                  |
| ...                  | ...                         | ...                                                                          |

[Assistant] Next I'll search for properties related to ownership for the Volkswagen item (wd:Q246), looking for P127 ("owned by") or similar. I'll use property search on that entity for "owner".

[Tool]
Top 10 property alternatives:
1. significant person (wd:P3342 as p/wdt, matched via employee), also known as associated people, associated person, employee, friend, friends, etc.: person linked to the item in any possible way
2. parent organization (wd:P749 as p/wdt, matched via parent unit), also known as chapter of, has organizational parent, holding, holding company, owned by (company or organisation), etc.: parent organization of an organization, opposite of subsidiaries (P355) / is subproperty of owned by / is subproperty of part of
3. founded by (wd:P112 as p/wdt, matched via establisher), also known as begun by, co-founded by, cofounded by, co-founder, cofounder, etc.: founder or co-founder of this organization, religion, place or entity / founder or co-founder of the organization or place / founder of this organisation, religion, or place / is subproperty of creator
4. official website (wd:P856 as p/wdt, matched via homepage), also known as home page, homepage, home page (official), homepage (official), official homepage, etc.: URL of the official page of an item (current or former). ... see the "Hijacked or dead websites" section of the Talk page / is subproperty of URL
5. headquarters location (wd:P159 as p/wdt, matched via principal office), also known as admin HQ, based in, garrison, head office location, head quarters, etc.: city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building / specific location where an organisation's HQ is or has been located / specific location where an organisation's HQ is or has been located / is subproperty of significant place
6. country (wd:P17 as p/wdt), 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
7. industry (wd:P452 as p/wdt), also known as branch, economic branch, field of action, field of exercise, sector, etc.: specific industry of company or organization / is subproperty of part of
8. operating area (wd:P2541 as p/wdt, matched via place of operation), also known as area of operations, area of responsibility, area operated, area served, areas served, etc.: geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for / geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for / geographic area or jurisdiction an organization or industry operates in, serves, or has responsibility for / is subproperty of location
9. inception (wd:P571 as p/wdt, matched via foundation), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
10. topic's main Wikimedia portal (wd:P1151 as p, matched via portal), also known as main portal, portal, P1151: Wikimedia portal associated with this topic / Wikimedia portal associated with this topic / Wikimedia portal associated with this topic

No other items found

[Assistant] I'll check whether the property "owned by" (P127) is used on the Volkswagen item (wd:Q246). Then I'll inspect the values to find the owner(s).

[Tool] Got no rows and 3 columns

[Assistant] I'll look up the Wikidata item for Volkswagen Group (wd:Q156578) and inspect its ownership (P127) or major shareholders.

[Tool]
Got 877 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                    | object                                                                                |
| ----------------------------- | --------------------------- | ------------------------------------------------------------------------------------------------------ |
| Volkswagen Group (wd:Q156578) | instance of (wdt:P31)       | business (wd:Q4830453)                                                                                |
| Volkswagen Group (wd:Q156578) | country (wdt:P17)           | Germany (wd:Q183)                                                                                |
| Volkswagen Group (wd:Q156578) | Commons category (wdt:P373) | Volkswagen Group                                                                                |
| Volkswagen Group (wd:Q156578) | image (wdt:P18)             | <http://commons.wikimedia.org/wiki/Special:FilePath/VW%20Werk%20Altes%20Heizkraftwerk%20WB%20edit.jpg> |
| Volkswagen Group (wd:Q156578) | part of (wdt:P361)          | DivDAX (wd:Q1230458)                                                                                |
| Volkswagen Group (wd:Q156578) | Freebase ID (wdt:P646)      | /m/07_zt                                                                                |
| Volkswagen Group (wd:Q156578) | location (wdt:P276)         | West Germany (wd:Q713750)                                                                              |
| Volkswagen Group (wd:Q156578) | inception (wdt:P571)        | 1937-05-28T00:00:00Z (xsd:dateTime)                                                                    |
| Volkswagen Group (wd:Q156578) | VIAF cluster ID (wdtn:P214) | <http://viaf.org/viaf/130962893>                                                                       |
| Volkswagen Group (wd:Q156578) | short name (wdt:P1813)      | VOLKSWAGEN AG (en)                                                                                |
| ...                           | ...                         | ...                                                                                |

[Assistant] I'll search for the "owned by" (P127) property on the Volkswagen Group item.

[Tool]
Got 3 rows and 3 columns:
| subject                       | property            | object                                              |
| ----------------------------- | ------------------- | --------------------------------------------------- |
| Volkswagen Group (wd:Q156578) | owned by (wdt:P127) | Hannoversche Beteiligungsgesellschaft (wd:Q1529289) |
| Volkswagen Group (wd:Q156578) | owned by (wdt:P127) | Qatar Investment Authority (wd:Q1571175)            |
| Volkswagen Group (wd:Q156578) | owned by (wdt:P127) | Porsche Automobil Holding SE (wd:Q2104551)          |

[Assistant] The owned-by statements show three owners. I'll retrieve labels for these owners and confirm whether they're the primary owners. I'll build a SPARQL query that returns the owners (P127) of Volkswagen Group (wd:Q156578) along with their labels. I'll include optional English labels using rdfs:label.

[Tool]
Got 3 rows and 2 columns:
| owner                                               | ownerLabel                                 |
| --------------------------------------------------- | ------------------------------------------ |
| Hannoversche Beteiligungsgesellschaft (wd:Q1529289) | Hannoversche Beteiligungsgesellschaft (en) |
| Porsche Automobil Holding SE (wd:Q2104551)          | Porsche Automobil Holding SE (en)          |
| Qatar Investment Authority (wd:Q1571175)            | Qatar Investment Authority (en)            |

[Assistant] The query returned three owners. I'll now finalize by returning the SPARQL query and the answer: Volkswagen Group is owned by those three entities. I'll include the final executed query in the 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/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team ?teamLabel ?from ?to WHERE {
  wd:Q706908 wdt:P54 ?team .
  OPTIONAL {
    wd:Q706908 p:P54 ?membership .
    ?membership ps:P54 ?team .
    OPTIONAL {
      ?membership pq:P580 ?from .
    }
    OPTIONAL {
      ?membership pq:P582 ?to .
    }
  }
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
  }
}
ORDER BY ?from

Using entities:
Iván Rodríguez (wd:Q706908), also known as Ivan “Pudge” Rodriguez, Ivan Rodriguez, Ivan Rodriguez Torres, Iván Rodríguez Torres, Pudge, etc.

Using properties:
member of sports team (wd:P54 as p/ps/wdt), also known as club played for, member of team, of team, part of team, played for, 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.

Got 5 rows and 4 columns:
| team                              | teamLabel                 | from | to  |
| --------------------------------- | ------------------------- | ---- | --- |
| New York Yankees (wd:Q213417)     | New York Yankees (en)     |      |     |
| Texas Rangers (wd:Q329816)        | Texas Rangers (en)        |      |     |
| Detroit Tigers (wd:Q650855)       | Detroit Tigers (en)       |      |     |
| Washington Nationals (wd:Q825838) | Washington Nationals (en) |      |     |
| Houston Astros (wd:Q848117)       | Houston Astros (en)       |      |     |

Answer:
Iván "Pudge" Rodríguez (wd:Q706908) has played for the following teams (IRIs shown; English labels included when available):
- wd:Q213417 — New York Yankees
- wd:Q329816 — Texas Rangers
- wd:Q650855 — Detroit Tigers
- wd:Q825838 — Washington Nationals
- wd:Q848117 — Houston Astros

[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] who has pudge rodriguez played for?

[Assistant] I will first find the Wikidata item for "Pudge Rodriguez" and then look for the property that records the sports teams he played for (likely "member of sports team" P54). I'll search for the entity now.

[Tool]
Top 10 entity alternatives:
1. Iván Rodríguez (wd:Q706908, matched via Pudge Rodriguez), also known as Ivan “Pudge” Rodriguez, Ivan Rodriguez, Ivan Rodriguez Torres, Iván Rodríguez Torres, Pudge, etc.: Puerto Rican Hall of Fame baseball player / has occupation baseball player / is instance of human
2. Ivan ‘Pudge' Rodríguez Field (wd:Q115284691): baseball field in Annandale, Virginia / is instance of baseball field / is instance of Legacy Field
3. James Rodríguez (wd:Q368441), also known as James David Rodríguez, James Rodríguez Rubio: has occupation association football player / Colombian association football player / has occupation soccer player / is instance of human / Colombian footballer / Colombian footballer
4. Michelle Rodriguez (wd:Q184219), also known as Mayte Michelle Rodriguez: has occupation television actor / has occupation Film producer / has occupation film producer / American actress (born 1978) / has occupation screenwriter / has occupation voice actor / has occupation film actor / has occupation actor / is instance of human / American actress / American actress
5. Mickey Rourke (wd:Q178552, matched via Miller Rodriguez), also known as Mickey Mickey Rourke, Miller Rodriguez, Philip Andre Rourke Jr., Pretty Puke: has occupation television actor / American actor and former boxer / has occupation Character actor / has occupation character actor / has occupation film producer / has occupation Film producer / has occupation screenwriter / has occupation film actor / has occupation model / has occupation Model / has occupation boxer / is instance of human
6. Maxi Rodriguez (wd:Q190929), also known as La fiera Rodriguez: has occupation association football player / Argentine association football player / has occupation soccer player / is instance of human / Argentine footballer / Argentine footballer
7. Pedro (wd:Q179773, matched via Pedro Rodriguez), also known as Pedro Eliezer Rodriguez Ledesma, Pedro Eliezer Rodríguez Ledesma, Pedro Rodriguez, Pedro Rodríguez: has occupation association football player / Spanish association football player / has occupation soccer player / is instance of human
8. Rodrigues (wd:Q208668, matched via Rodriguez), also known as Rodrigues Islands, Rodriguez, Rodriguez Island: is instance of administrative territorial entity of Mauritius / is instance of first-level administrative division / is instance of subdivisions of Mauritius / is instance of island / Mauritian island
9. Robert Rodriguez (wd:Q47284), also known as Robert Anthony Rodriguez, Robert Anthony Rodríguez: American film director and producer / has occupation production designer / has occupation cinematographer / has occupation camera operator / has occupation film producer / has occupation film director / has occupation Film producer / has occupation screenwriter / has occupation film editor / has occupation film actor / has occupation composer / has occupation director / has occupation overseer / has occupation musician / is instance of human
10. Luis Fonsi (wd:Q1387726, matched via Luis Rodríguez), also known as Luis Alfonso Rodríguez López-Cepero, Luis Rodríguez: has occupation television actor / has occupation guitarist / has occupation Guitarist / has occupation composer / has occupation lyricist / has occupation Lyricist / has occupation singer / has occupation actor / is instance of human / Puerto Rican singer

[Assistant] I'll check which property is used on Iván Rodríguez's Wikidata item to record the teams he played for (I expect "member of sports team" P54). I'll search for properties of the entity related to "team" or "sports team".

[Tool]
Top 10 property alternatives:
1. member of sports team (wd:P54 as p/wdt, matched via team), also known as club played for, member of team, of team, part of team, played for, etc.: sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject represents or represented / is subproperty of member of
2. league or competition (wd:P118 as p/wdt, matched via competition), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
3. sport (wd:P641 as p/wdt), also known as play, plays, sport played, sports, P641: sport that the subject participates or participated in or is associated with / sport or discipline in which the entity participates or belongs to
4. 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
5. position played on team / speciality (wd:P413 as p/wdt), also known as fielding position, player position, position, position (on team), specialism, etc.: position the player plays. Samples: defenceman, pitcher, goalie / position the player plays. Samples: defenceman, pitcher, goalie / position or specialism of a player on a team
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. given name (wd:P735 as p/wdt, matched via name), also known as Christian name, first name, forename, middle name, name, etc.: first name or another given name of this person; values used with the property should not link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / is subproperty of name
8. country of citizenship (wd:P27 as p/wdt, matched via nation), 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
9. child (wd:P40 as p/wdt, matched via sons), 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
10. 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.

No other items found

[Assistant] Next I'll run a SPARQL query on Wikidata for Iván "Pudge" Rodríguez (wd:Q706908) using the property "member of sports team" (P54). I'll request the team IRIs plus optional English labels and optional start/end qualifiers for each team membership to produce a complete list. I'll execute the query now.

[Tool]
Got 5 rows and 4 columns:
| team                              | teamLabel                 | from | to  |
| --------------------------------- | ------------------------- | ---- | --- |
| New York Yankees (wd:Q213417)     | New York Yankees (en)     |      |     |
| Texas Rangers (wd:Q329816)        | Texas Rangers (en)        |      |     |
| Detroit Tigers (wd:Q650855)       | Detroit Tigers (en)       |      |     |
| Washington Nationals (wd:Q825838) | Washington Nationals (en) |      |     |
| Houston Astros (wd:Q848117)       | Houston Astros (en)       |      |     |

[Assistant] I will provide the final SPARQL query I executed (which returns the team IRIs and optional English labels and membership dates) and the plain answer listing the teams Iván "Pudge" Rodríguez has played for.

[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 ?actor ?actorLabel ?start WHERE {
  {
    SELECT ( MIN( ?start ) AS ?minStart ) WHERE {
      wd:Q908772 p:P725 ?stmt .
      ?stmt ps:P725 ?actor .
      ?stmt pq:P580 ?start .
    }
  }
  wd:Q908772 p:P725 ?stmt2 .
  ?stmt2 ps:P725 ?actor .
  ?stmt2 pq:P580 ?start .
  FILTER ( ?start = ?minStart ) OPTIONAL {
    ?actor rdfs:label ?actorLabel FILTER ( LANG( ?actorLabel ) = "en" )
  }
}

Using entities:
Meg Griffin (wd:Q908772), also known as Megan Griffin, Megan "Meg" Griffin, Megatron Harvey Oswald Griffin, Megatron "Meg" Harvey Oswald Griffin

Using properties:
start time (wd:P580 as pq), also known as began, beginning, building date, effective, effectivity, etc.
voice actor (wd:P725 as p/ps), also known as dubbed by, seiyu, VA, VO, vocal role as, etc.

Answer: Lacey Chabert originally voiced Meg Griffin. (Query returned wd:Q232910 — Lacey Chabert)

who originally voiced meg on family guy?

[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] who originally voiced meg on family guy?

[Assistant] Step 1: I'll search Wikidata for the character "Meg Griffin" to find the item for the character. I'll call the entity search tool next.

[Tool]
Top 10 entity alternatives:
1. Meg Griffin (wd:Q908772), also known as Megan Griffin, Megan "Meg" Griffin, Megatron Harvey Oswald Griffin, Megatron "Meg" Harvey Oswald Griffin: fictional character from the Family Guy franchise / is instance of animated television character / has occupation high school student / is instance of fictional human
2. Meg Griffin (wd:Q6807983): has occupation radio personality / has occupation disc jockey / American radio disc jockey / is instance of human / has occupation DJ
3. Megan Kate Griffin-Pickering (wd:Q103292935): Ph.D. University of Cambridge 2019 / is instance of human
4. John Griffin, 4th Baron Howard de Walden (wd:Q4470201, matched via John Griffin Griffin), also known as John Griffin Griffin, John Whitwell: British nobleman and soldier (1719-1797) / has occupation military personnel / has occupation Military personnel / has occupation politician / is instance of human
5. Griffin, George Griffin (wd:Q111285115): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886 / is instance of biographical article
6. Griffin v. Griffin (wd:Q19111077): is instance of United States Supreme Court decision / United States Supreme Court case / is instance of legal case
7. griffin (wd:Q130223), also known as griffon, gryphon: is subclass of mythical hybrid / is subclass of chimaera / legendary animal
8. Meg Ryan (wd:Q167498): has occupation television actor / has occupation Character actor / has occupation character actor / has occupation voice actor / has occupation film actor / has occupation actor / is instance of human / American actress
9. Meg Whitman (wd:Q55174), also known as Margaret Cushing "Meg" Whitman, Margaret Cushing Whitman, Margaret Whitman, Meg Cushing Whitman: has occupation business executive / has occupation entrepreneur / has occupation Entrepreneur / American business executive / has occupation politician / is instance of human
10. Griffin (wd:Q1012372), also known as Griffin, GA, Griffin, Georgia: county seat of Spalding County, Georgia, United States / is instance of city of the United States / is instance of city in the United States / is instance of municipality of Georgia

[Assistant] I'll search for properties related to "voice actor" for the Meg Griffin item.

[Tool]
Top 10 property alternatives:
1. voice actor (wd:P725 as p/wdt), also known as dubbed by, seiyu, VA, VO, vocal role as, etc.: performer of a spoken role in a creative work such as ... as qualifier] [use "cast member" (P161) for live acting] / is subproperty of film crew member / is subproperty of cast member
2. birth name (wd:P1477 as p/wdt, matched via nee), 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
3. media franchise (wd:P8345 as p/wdt, matched via media mix), also known as franchise, mass media franchise, media mix, presented in media franchise, P8345: this creative work belongs to this media franchise
4. given name (wd:P735 as p/wdt, matched via name), also known as Christian name, first name, forename, middle name, name, etc.: first name or another given name of this person; values used with the property should not link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / is subproperty of name
5. creator (wd:P170 as p/wdt, matched via by), also known as art by, artist (non-musical), art work by, artwork by, by, etc.: maker of this creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists) / maker of a creative work or other object (where no more specific property exists)
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. occupation (wd:P106 as p/wdt, matched via vocation), 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)
8. mother (wd:P25 as p/wdt, matched via mummy), 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
9. present in work (wd:P1441 as p/wdt, matched via character in), also known as appeared in, appears in, appears in work, character in, featured in work, etc.: this (fictional or fictionalized) entity, place, or person ... P1343 for entities described in non-fictional accounts) / work in which this fictional entity (Q14897293) or historical ... P1343 for entities described in non-fictional accounts)
10. from narrative universe (wd:P1080 as p/wdt, matched via cycle), also known as appears in universe, continuity, cycle, featured in universe, fictional universe, etc.: subject's fictional entity is in the object narrative. See ... (present in work) and P1445 (fictional universe described in) / subject's fictional entity is in the object narrative. See ... (present in work) and P1445 (fictional universe described in) / is subproperty of part of

No other items found

[Assistant] I'll list statements for the Meg Griffin item to see the voice actor statements and any qualifiers indicating which actor was the original voice.

[Tool]
Got 187 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                    | object                                        |
| ------------------------ | --------------------------- | --------------------------------------------- |
| Meg Griffin (wd:Q908772) | instance of (wdt:P31)       | animated television character (wd:Q123126876) |
| Meg Griffin (wd:Q908772) | occupation (wdt:P106)       | high school student (wd:Q15360275)            |
| Meg Griffin (wd:Q908772) | sex or gender (wdt:P21)     | female (wd:Q6581072)                          |
| Meg Griffin (wd:Q908772) | given name (wdt:P735)       | Megan (wd:Q1130292)                           |
| Meg Griffin (wd:Q908772) | date of birth (wdt:P569)    | 1982-03-23T00:00:00Z (xsd:dateTime)           |
| Meg Griffin (wd:Q908772) | Commons category (wdt:P373) | Meg Griffin                                   |
| Meg Griffin (wd:Q908772) | family name (wdt:P734)      | wd:Q1546592                                   |
| Meg Griffin (wd:Q908772) | Freebase ID (wdt:P646)      | /m/035szd                                     |
| Meg Griffin (wd:Q908772) | creator (wdt:P170)          | Seth MacFarlane (wd:Q188492)                  |
| Meg Griffin (wd:Q908772) | father (wdt:P22)            | Peter Griffin (wd:Q28465)                     |
| ...                      | ...                         | ...                                           |

[Assistant] I'll list the triples for Meg Griffin using the voice actor property (P725) to find the actors who have voiced her.

[Tool]
Got 2 rows and 3 columns:
| subject                  | property               | object                     |
| ------------------------ | ---------------------- | -------------------------- |
| Meg Griffin (wd:Q908772) | voice actor (wdt:P725) | Mila Kunis (wd:Q37628)     |
| Meg Griffin (wd:Q908772) | voice actor (wdt:P725) | Lacey Chabert (wd:Q232910) |

[Assistant] Next I'll retrieve the full P725 statements (including qualifiers) for Meg Griffin to see if there's a qualifier like "start time" indicating who first voiced the character. I'll list statements using the property p:P725.

[Tool]
Got 2 rows and 3 columns:
| subject                  | property             | object                                         |
| ------------------------ | -------------------- | ---------------------------------------------- |
| Meg Griffin (wd:Q908772) | voice actor (p:P725) | s:Q908772-2df0fb71-42b4-067b-f562-ebbe815d170d |
| Meg Griffin (wd:Q908772) | voice actor (p:P725) | s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba |

[Assistant] I'll inspect each statement node to see qualifiers; first the statement s:Q908772-... entries. I'll list triples with those subjects.

[Tool]
Got 18 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property              | object                                |
| ---------------------------------------------- | --------------------- | ------------------------------------- |
| s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba | start time (pq:P580)  | 1999-01-31T00:00:00Z (xsd:dateTime)   |
| s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba | end time (pq:P582)    | 1999-09-30T00:00:00Z (xsd:dateTime)   |
| s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba | voice actor (ps:P725) | Lacey Chabert (wd:Q232910)            |
| s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba | pq:P10663             | Death Has a Shadow (wd:Q1191505)      |
| s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba | wikibase:rank         | wikibase:NormalRank                   |
| s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba | rdf:type              | wikibase:BestRank                     |
| s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba | start time (pqv:P580) | v:4d3b247501548c614f1e15774931d252    |
| s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba | end time (pqv:P582)   | v:82dcc86a69d08b486bc109e94c737a9d    |
| s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba | pq:P10663             | I Never Met the Dead Man (wd:Q253099) |
| s:Q908772-b7b7d9a6-4308-76d3-ec32-48dab73062ba | pq:P10663             | Chitty Chitty Death Bang (wd:Q860840) |
| ...                                            | ...                   | ...                                   |

[Assistant] Now inspect the other statement node for Mila Kunis.

[Tool]
Got 6 rows and 3 columns:
| subject                                        | property              | object                              |
| ---------------------------------------------- | --------------------- | ----------------------------------- |
| s:Q908772-2df0fb71-42b4-067b-f562-ebbe815d170d | start time (pq:P580)  | 1999-12-26T00:00:00Z (xsd:dateTime) |
| s:Q908772-2df0fb71-42b4-067b-f562-ebbe815d170d | voice actor (ps:P725) | Mila Kunis (wd:Q37628)              |
| s:Q908772-2df0fb71-42b4-067b-f562-ebbe815d170d | wikibase:rank         | wikibase:NormalRank                 |
| s:Q908772-2df0fb71-42b4-067b-f562-ebbe815d170d | rdf:type              | wikibase:BestRank                   |
| s:Q908772-2df0fb71-42b4-067b-f562-ebbe815d170d | start time (pqv:P580) | v:f3464911887585a185abfe9a3a6348d1  |
| s:Q908772-2df0fb71-42b4-067b-f562-ebbe815d170d | rdf:type              | wikibase:Statement                  |

[Assistant]
From the statements: Lacey Chabert voiced Meg from 1999-01-31 to 1999-09-30 (qualifiers include episodes) and Mila Kunis started 1999-12-26. The user asked: "who originally voiced meg on family guy?"

Interpretation: "originally voiced" implies first voice actor. That would be Lacey Chabert. I'll craft a SPARQL ASK? The question expects a name. The rules say for True/False use ASK; but here user asks "who" so we should return the identifier(s). SPARQL should return actual identifiers of items. We'll create a query that finds the voice actor (P725) with earliest start time qualifier (pq:P580) or the one with the earliest start time. Alternatively filter for the voice actor with the minimum start time. Standard SPARQL: use MIN(?start) aggregate and then select actor with that start. But qualifiers are reified as ?statement p:P725 ?stmt . ?stmt ps:P725 ?actor . ?stmt pq:P580 ?start . So build that.

Also include rdfs:label optional. Must execute final query before answer.

I'll prepare the SPARQL query selecting ?actor and ?actorLabel where ?item wd:Q908772. Use MIN to get earliest start; then join.

Query plan:
SELECT ?actor ?actorLabel ?start WHERE {
  wd:Q908772 p:P725 ?stmt .
  ?stmt ps:P725 ?actor .
  ?stmt pq:P580 ?start .
  OPTIONAL { ?actor rdfs:label ?actorLabel FILTER(LANG(?actorLabel) = "en") }
}
Compute MIN(?start) as ?minStart in subquery, then select actors with ?start = ?minStart.

Use GROUP BY? Or use subquery SELECT (MIN(?start) as ?minStart) WHERE { ... }.

Construct final SELECT ?actor ?actorLabel ?start WHERE { ... ?start ?minStart }.

Let's write SPARQL accordingly.

Then execute.

I'll follow the developer instruction to explain thought process before and after function calls. I already explained earlier; must also explain before calling execute function. I will call functions.execute with the SPARQL.

I'll run a SPARQL query that finds the voice actor statements for Meg Griffin (wd:Q908772), extracts their start times (pq:P580), finds the earliest start time, and returns the actor(s) who have that earliest start time along with English labels. Now I'll execute that query.

[Tool]
Got 1 row and 3 columns:
| actor                      | actorLabel         | start                               |
| -------------------------- | ------------------ | ----------------------------------- |
| Lacey Chabert (wd:Q232910) | Lacey Chabert (en) | 1999-01-31T00:00:00Z (xsd:dateTime) |

[Assistant] The query returned Lacey Chabert as the actor with the earliest start time for voicing Meg Griffin. This corresponds to the original voice. I'll now provide the final answer and include the SPARQL query used.

[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 ?place ?placeLabel ?admin ?adminLabel ?country ?countryLabel WHERE {
  wd:Q714185 wdt:P20 ?place .
  OPTIONAL {
    ?place rdfs:label ?placeLabel .
    FILTER ( LANG( ?placeLabel ) = "en" )
  }
  OPTIONAL {
    ?place wdt:P131 ?admin .
    ?admin rdfs:label ?adminLabel .
    FILTER ( LANG( ?adminLabel ) = "en" )
  }
  OPTIONAL {
    ?place wdt:P17 ?country .
    ?country rdfs:label ?countryLabel .
    FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Using entities:
Jenni Rivera (wd:Q714185), also known as Dolores Janney Rivera Saavedra, Jenny Rivera

Using properties:
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17
place of death (wd:P20 as wdt), also known as death location, death place, deathplace, died, died in, etc.

Answer: Querying Wikidata for Jenni Rivera (wd:Q714185) place of death (P20) returns wd:Q116918876 — Iturbide. The place is in Mexico. So: Her body was found in Iturbide, Nuevo León, Mexico.

where did they find jenni rivera's body?

[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] where did they find jenni rivera's body?

[Assistant] Step 1: I'll search for the Wikidata item for Jenni Rivera to get her Q-id. I'll explain and then run a search.

[Tool]
Top 10 entity alternatives:
1. Jenni Rivera (wd:Q714185), also known as Dolores Janney Rivera Saavedra, Jenny Rivera: has occupation television producer / has occupation singer-songwriter / has occupation recording artist / has occupation record producer / has occupation businessperson / American singer (1969–2012) / has occupation film actor / has occupation composer / has occupation singer / has occupation actor / is instance of human
2. Jennifer Rivera (wd:Q22088654): has occupation opera singer / American opera singer / is instance of human
3. Jenni Rivera Fashion (wd:Q18359270): web-based fashion boutique / is instance of business
4. Jennifer Rivera (wd:Q99230893): has occupation rhythmic gymnast / is instance of human
5. Jenni Rivera: Mariposa de Barrio (wd:Q29267690), also known as Mariposa de Barrio: is instance of television series / is instance of serial / television series
6. Jenniffer López (wd:Q26131407, matched via Jenniffer Katherine Lopez Rivera), also known as Jenniffer Katherine Lopez Rivera: has occupation weightlifter / is instance of human
7. RIVERA (Rivera) (wd:Q127039703): is instance of musical work/composition / hymn tune
8. Ismael Rivera Rivera (wd:Q1364255), also known as El Brujo..  El Sonero Mayor    Nació y murió en  Santurce Puerto Rico.: Puerto Rican singer (1931–1987) / has occupation musician / has occupation composer / has occupation singer / is instance of human / Puerto Rican singer / Puerto Rican singer
9. Cándido Rivera Rivera (wd:Q11818008): has occupation Catholic priest / is instance of human
10. Carlos Rivera Rivera (wd:Q14088961), also known as Carlos Rivera: has occupation politician / is instance of human / Spanish politician / Spanish politician / Spanish politician

[Assistant] I will search for relevant properties that describe where a body was found or place of death on Wikidata, such as "place of death" or "place where body was discovered". I'll run a property search for phrases like "body", "found", and "place of death".

[Tool]
Top 10 property alternatives:
1. Online Begraafplaatsen cemetery ID (wd:P9884 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via Online Begraafplaatsen cemetery identifier), also known as Online Begraafplaatsen cemetery identifier, P9884: identifier for cemeteries listed on Online Begraafplaatsen
2. place of death (wd:P20 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via location of death), also known as death location, death place, deathplace, died, died in, etc.: most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / is subproperty of location
3. Hart Island Project person ID (wd:P11640 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via City Cemetery person ID), also known as City Cemetery person ID, Hart Island Project person identifier, The Hart Island Project person ID, The Hart Island Project person identifier, P11640: identifier for a person buried in New York's City Cemetery on Hart Island, Bronx, New York
4. place of burial (wd:P119 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via burial location), also known as ashes scattered at, burial location, burial place, buried at, buried in, etc.: location of grave, resting place, place of ash-scattering, ... places: e.g., re-burials, parts of body buried separately. / location of grave, resting place, place of ash-scattering, ... places: e.g., re-burials, parts of body buried separately. / location of grave, resting place, place of ash-scattering, ... e.g. re-burials, cenotaphs, parts of body buried separately / location of grave, resting place, place of ash-scattering, etc, (e.g. city or cemetery) for a person / is subproperty of location
5. place of disappearance (wd:P10642 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as P10642: place where people or things have disappeared; link with P746 (date of disappearance)
6. BillionGraves grave ID (wd:P10554 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as BillionGraves person ID, P10554: identifier for a grave, on the BillionGraves website
7. Geneanet cemetery ID (wd:P9189 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via geneanet.org cemetery identifier), also known as Geneanet cemetery identifier, geneanet.org cemetery ID, geneanet.org cemetery identifier, P9189: numerical identifier for a cemetery on the 'Sauvons nos tombes' project
8. Find a Grave memorial ID (wd:P535 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via Find A Grave person ID), also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID, etc.: identifier of an individual's burial place in the Find a Grave database / the subject's ID in the Find a Grave database
9. Los Angeles County Medical Examiner's Office Case Search person ID (wd:P11546 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as DMEC case number, Los Angeles County Coroner's Office Case Search person ID, Los Angeles County Department of Medical Examiner case number, P11546: identifier for a person whose autopsy was conducted by the Los Angeles County Department of Medical Examiner
10. Online Begraafplaatsen memorial ID (wd:P9910 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via Online Begraafplaatsen memorial identifier), also known as Online Begraafplaatsen memorial identifier, P9910: identifier for grave markings and war memorials listed on Online Begraafplaatsen

[Assistant] I'll check the properties on Jenni Rivera's Wikidata item (wd:Q714185) to find any property indicating place of death or where her body was found. I'll search properties related to death.

[Tool]
Top 10 property alternatives:
1. place of death (wd:P20 as p/wdt, matched via location of death), also known as death location, death place, deathplace, died, died in, etc.: most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / is subproperty of location
2. place of burial (wd:P119 as p/wdt, matched via location of burial), also known as ashes scattered at, burial location, burial place, buried at, buried in, etc.: location of grave, resting place, place of ash-scattering, ... places: e.g., re-burials, parts of body buried separately. / location of grave, resting place, place of ash-scattering, ... places: e.g., re-burials, parts of body buried separately. / location of grave, resting place, place of ash-scattering, ... e.g. re-burials, cenotaphs, parts of body buried separately / location of grave, resting place, place of ash-scattering, etc, (e.g. city or cemetery) for a person / is subproperty of location
3. Find a Grave memorial ID (wd:P535 as p/wdt, matched via Find A Grave person ID), also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID, etc.: identifier of an individual's burial place in the Find a Grave database / the subject's ID in the Find a Grave database
4. manner of death (wd:P1196 as p/wdt, matched via death manner), also known as circumstance of death, death manner, death type, nature of death, type of death, etc.: general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia etc. / general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia etc. / general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia...
5. date of death (wd:P570 as p/wdt, matched via death date), also known as date of the end, dead, death, death date, deathdate, etc.: is subproperty of dissolved, abolished or demolished date / is subproperty of dissolved, abolished or demolished / date on which the subject died / date on which the subject died / date on which the subject died / is subproperty of end time
6. place of birth (wd:P19 as p/wdt, matched via location of birth), 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
7. Freebase ID (wd:P646 as p/wdt, matched via Freebase), also known as FID, Freebase, Freebase identifier, MID, P646: identifier for a page in the Freebase database. Format: ... with "/g/", use Google Knowledge Graph identifier (P2671) / identifier for a page in the Freebase database. Format: ... with "/g/", use Google Knowledge Graph identifier (P2671) / identifier for a page in the Freebase database. Format: ... starting with "/g/", use Google Knowledge Graph ID (P2671)
8. significant event (wd:P793 as p/wdt, matched via key incident), also known as big event, event, fate, important event, key event, etc.: significant or notable events associated with the subject / significant or notable events associated with the subject / significant or notable events associated with the subject
9. date of birth (wd:P569 as p/wdt, matched via birth date), also known as birth date, birthdate, birth year, birthyear, born, etc.: is subproperty of date of foundation or creation / date on which the subject was born / date on which the subject was born / date on which the subject was born / is subproperty of inception
10. Famous Birthdays ID (wd:P11194 as p/wdt), also known as famousbirthdays.com ID, P11194: identifier for entities listed on the Famous Birthdays website

No other items found

[Assistant] I'll query Jenni Rivera's Wikidata item (wd:Q714185) for the "place of death" property (P20). I will retrieve the place's IRI and its English label (if available) to answer where her body was found. Now I'll run the SPARQL query.

[Tool]
Got 1 row and 2 columns:
| place                    | placeLabel    |
| ------------------------ | ------------- |
| Iturbide (wd:Q116918876) | Iturbide (en) |

[Assistant] I'll look up the place item wd:Q116918876 to get its labels and administrative location (state/country) to give a more complete answer. Now I'll run a SPARQL query to retrieve English labels and P17/P131 where available.

[Tool]
Got 1 row and 6 columns:
| place                    | placeLabel    | country         | countryLabel | admin                 | adminLabel    |
| ------------------------ | ------------- | --------------- | ------------ | --------------------- | ------------- |
| Iturbide (wd:Q116918876) | Iturbide (en) | Mexico (wd:Q96) | Mexico (en)  | Iturbide (wd:Q760263) | Iturbide (en) |

[Assistant] Final step: I'll provide a SPARQL query that returns the place item (IRI) where Jenni Rivera's body was found (using place of death P20) along with optional English labels and administrative/country info, and then give the concise answer based on the query results. Now I'll run the final query.

[Tool] Stopping