PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?language ?script WHERE {
  VALUES ?language {
    wd:Q7850 wd:Q3110592
  }
  ?language wdt:P282 ?script .
}

Got 4 rows and 2 columns:
| language                               | script                                      |
| -------------------------------------- | ------------------------------------------- |
| written Chinese language (wd:Q3110592) | Chinese characters (wd:Q8201)               |
| Chinese (wd:Q7850)                     | traditional Chinese characters (wd:Q178528) |
| Chinese (wd:Q7850)                     | simplified Chinese characters (wd:Q185614)  |
| Chinese (wd:Q7850)                     | Chinese characters (wd:Q8201)               |

Chinese people write in the Chinese language, using Chinese characters (Han script), which include traditional Chinese characters (wd:Q178528), simplified Chinese characters (wd:Q185614), and the general form Chinese characters (wd:Q8201).

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

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

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

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

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

[User] what language do chinese people write in?

[Assistant]
Let's break down the question:

1. The question is asking about the language that Chinese people write in.
2. We need to identify the entity for "Chinese people" and the property that links people or groups to the language they write in.
3. We also need to find the entity or entities representing the written language(s) of Chinese people.

First, I will search for the entity "Chinese people" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Chinese people, also known as the Chinese (wd:Q6501380): ethnic groups
2. Han Chinese people, also known as Han, Han people (wd:Q42740): ethnic group native to China Central Plain
3. Hakka people, also known as Hakka, Hakka Han, Hakka Chinese people (wd:Q660947): ethnic group native to southeastern China and Taiwan
4. Teochew people, also known as Chaozhou people, Chaoshan people, Tiociu nang, Teochew, Teochew (Chinese people) (wd:Q1959575): ethnic group
5. African Chinese people (wd:Q30004886): Chinese people with African ancestry
6. People's Liberation Army Navy, also known as Chinese People's Liberation Army Navy, Chinese Navy, PLA Navy, PLAN, P.L.A.N. (wd:Q755179): Maritime service branch of the Chinese People's Liberation Army
7. people's commune, also known as Chinese People's commune (wd:Q1153975): the highest of three administrative levels in rural areas of the People's Republic of China during the period from 1958 to 1983
8. People's Volunteer Army, also known as Chinese People's Volunteers, CPV, PVA (wd:Q488945): PRC forces supporting DPRK during the Korean War
9. Chinese people in Japan (wd:Q905498): ethnic group
10. Chinese people in Germany (wd:Q822925): ethnic group

[Assistant]
The most relevant entity for "Chinese people" is wd:Q6501380 (Chinese people, also known as the Chinese).

Next, I need to find the property that links people or groups to the language they write in. This is likely related to "language", "writing", or "written language". I will search for properties related to "language" to find the most appropriate one.

[Tool]
Top 10 property alternatives:
1. programmed in, also known as language, programming language, written in (wd:P277 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): the programming language(s) in which the software is developed
2. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language(s) that a person or a people speaks, writes or signs, including the native language(s)
3. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
4. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language designated as official by this item, language used
5. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language widely used (spoken or written) in this place or at this event or organisation
6. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
7. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language or languages a person has learned from early childhood, languages spoken, written or signed
8. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language in which the writer has written their work, languages spoken, written or signed
9. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language status identifier by Ethnologue.com using EGIDS scale
10. variety of lexeme, form or sense, also known as dialect, used in dialect, variety of form (wd:P7481 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): dialect, graphic or phonetic variety that this lexeme, form or sense is used in

[Assistant]
The most relevant property for linking people or groups to the language they write in is "languages spoken, written or signed" (wd:P1412). This property covers spoken, written, and signed languages.

Now, I will check which languages are associated with "Chinese people" (wd:Q6501380) via the property "languages spoken, written or signed" (wd:P1412).

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct statements linking "Chinese people" (wd:Q6501380) to any language via the "languages spoken, written or signed" (wdt:P1412) property in Wikidata.

To improve the query, let's consider that "Chinese people" is a broad group, and the most common written language is likely "Chinese" or "Chinese language". I will search for the entity "Chinese language" to see if it exists and then check if it is associated with "Chinese people" or if it has properties indicating its use by Chinese people.

[Tool]
Top 10 entity alternatives:
1. Chinese, also known as Chinese language, Chinese languages, zh (wd:Q7850): language group of the Sinitic languages
2. Chinese, also known as Chinese language, Chinese languages, zh (wd:Q7850): language group of the Sinitic languages
3. Studies of the Chinese Language, also known as Chinese Language, Zhongguo Yuwen (wd:Q15762288): journal
4. Chinese Language (wd:Q110262537): Stack Exchange site for students, teachers, and linguists wanting to discuss the finer points of the Chinese language
5. Chinese language (wd:L1260101-S1)
6. Chinese language (wd:L727426-S1)
7. Sinitic, also known as Chinese languages, Sinitic languages (wd:Q33857): group of East Asian analytic languages and a major branch of the Sino-Tibetan language family
8. Tai Nüa, also known as Tai Le language, Tai Nüa language, Tai Na language, Tai Mau language, Tai Kong language (wd:Q36556): language
9. written Chinese language, also known as Chinese (wd:Q3110592): overview of writing varieties of Chinese, unified in Qin dynasty
10. Chinese Sign Language, also known as csl, CSL, ZGS (wd:Q1094190): sign language used in China and culturally related areas

[Assistant]
The most relevant entity for the written language is "Chinese" (wd:Q7850), which refers to the language group of the Sinitic languages. There is also "written Chinese language" (wd:Q3110592), which specifically refers to the written varieties of Chinese.

Since the question is about what language Chinese people write in, "written Chinese language" (wd:Q3110592) is likely the most precise entity. However, "Chinese" (wd:Q7850) as a language group is also relevant.

To provide a comprehensive answer, I will construct a SPARQL query that retrieves the written language(s) associated with "Chinese people" (wd:Q6501380) using properties related to language, including "languages spoken, written or signed" (wd:P1412), "writing language" (wd:P6886), and "official language" (wd:P37), in case any of these are used.

I will also include optional labels for human readability.

[Tool] Got no rows and 2 columns

[Assistant]
There are still no direct statements in Wikidata linking "Chinese people" (wd:Q6501380) to any language via the main language-related properties. This suggests Wikidata does not explicitly state the written language for the entity "Chinese people".

Given this, let's try a different approach: since "Han Chinese" (wd:Q42740) is the largest subgroup of Chinese people, perhaps there are language links for that entity. I will check which languages are associated with "Han Chinese people" using the same properties.

[Tool] Got no rows and 2 columns

[Assistant]
There are still no direct statements linking "Han Chinese people" (wd:Q42740) to any language via the main language properties in Wikidata.

Given that, let's try to approach the problem from the language side: let's look at the "written Chinese language" (wd:Q3110592) entity and see if it has properties indicating the people or ethnic group who use it. This might help us establish the connection from the language to the people.

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
4. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/p): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
5. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as wdt/p): item that is different from another item, with which it may be confused
6. writing system, also known as script, writing script, written form (wd:P282 as wdt/p): alphabet, character set or other system of writing used by a language, word, or text, supported by a typeface
7. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)

No other items found

[Assistant]
There is no direct "used by" or "spoken by" property for "written Chinese language" (wd:Q3110592). However, there is a "writing system" property (wd:P282), which could indicate the script used for written Chinese.

Given that Wikidata does not directly link "Chinese people" to their written language, but we know from general knowledge that the main written language is "Chinese" (and its varieties, such as Mandarin, Cantonese, etc.), and the main script is "Chinese characters" (Han script), I will write a SPARQL query to show the writing systems (scripts) used by the "Chinese language" (wd:Q7850) and "written Chinese language" (wd:Q3110592).

This will at least show what script is used for writing Chinese, which is the core of the question.

[Tool]
Got 4 rows and 4 columns:
| language                               | languageLabel                 | script                                      | scriptLabel                         |
| -------------------------------------- | ----------------------------- | ------------------------------------------- | ----------------------------------- |
| written Chinese language (wd:Q3110592) | written Chinese language (en) | Chinese characters (wd:Q8201)               | Chinese characters (en)             |
| Chinese (wd:Q7850)                     | Chinese (en)                  | traditional Chinese characters (wd:Q178528) | traditional Chinese characters (en) |
| Chinese (wd:Q7850)                     | Chinese (en)                  | simplified Chinese characters (wd:Q185614)  | simplified Chinese characters (en)  |
| Chinese (wd:Q7850)                     | Chinese (en)                  | Chinese characters (wd:Q8201)               | Chinese characters (en)             |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ?owner ?ownerLabel ?start ?end WHERE {
  VALUES ?chrysler {
    wd:Q181114
  }
  {
    ?chrysler p:P127 ?ownershipStatement .
    ?ownershipStatement ps:P127 ?owner .
    OPTIONAL {
      ?ownershipStatement pq:P580 ?start .
    }
    OPTIONAL {
      ?ownershipStatement pq:P582 ?end .
    }
    OPTIONAL {
      ?owner rdfs:label ?ownerLabel FILTER ( lang( ?ownerLabel ) = "en" )
    }
  } UNION {
    ?chrysler p:P749 ?parentStatement .
    ?parentStatement ps:P749 ?owner .
    OPTIONAL {
      ?parentStatement pq:P580 ?start .
    }
    OPTIONAL {
      ?parentStatement pq:P582 ?end .
    }
    OPTIONAL {
      ?owner rdfs:label ?ownerLabel FILTER ( lang( ?ownerLabel ) = "en" )
    }
  }
}
ORDER BY ?start

According to Wikidata's structured data, Chrysler Corporation (now Stellantis North America) is recorded as being owned by Stellantis from 2021. There is no explicit structured data for ownership in 2011, but historically, Chrysler was majority-owned by Fiat in 2011. The query returns all available owners and parent organizations with time qualifiers.

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

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

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

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

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

[User] who owns chrysler corporation 2011?

[Assistant]
Let's break down the question:

1. The user is asking about the owner(s) of Chrysler Corporation in the year 2011.
2. I need to identify the correct entity for "Chrysler Corporation" and the property for "ownership" or "owned by".
3. I also need to filter the ownership information to the year 2011.

First, I will search for the entity "Chrysler Corporation" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Stellantis North America, also known as Chrysler Corporation, Chrysler LLC, FCA US (wd:Q181114): American automotive manufacturer
2. Chrysler Corporation v. United States (wd:Q19037103)
3. Chrysler Corporation's super-lite; an evaluation (wd:Q44500476): scientific article published in November 1969
4. Chrysler Corporation Loan Guarantee Act of 1979 (wd:Q131378741): United States federal statute
5. EVOLUTION in Chrysler Corporation's medical department (wd:Q78476671): scientific article published on 01 January 1959
6. corporation, also known as corporated entity (wd:Q167037): legal entity incorporated through a legislative or registration process
7. Chrysler, also known as Chrysler brand (wd:Q29610): US automotive brand
8. The Corporation, also known as Corporation (wd:Q1475460): 2003 film by Mark Achbar, Jennifer Abbott
9. Uponor, also known as Corporation (wd:Q1536068): Finnish business
10. corporation, also known as United States corporation, US corporation, U.S. corporation, Incorporated, Inc. (wd:Q57655560): business entity in the United States incorporated under any state or territorial statute

[Assistant]
The most relevant entity for "Chrysler Corporation" as an automotive manufacturer is "Stellantis North America" (wd:Q181114), which has also been known as Chrysler Corporation, Chrysler LLC, and FCA US.

Next, I need to find the property for "owned by" or "ownership". I will search for the property "owned by" in Wikidata.

[Tool]
Top 10 property alternatives:
1. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): owner of the subject
2. owner of, also known as owns, owns property, shareholder of (wd:P1830 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): entities owned by the subject
3. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
4. beforehand owned by, also known as acquired from, bequester, bought from, old owner, oldowner (wd:P11811 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): person or institution that owned the subject just before stated ...ficant event (P793)" for events like sales, auctions, gifts, etc
5. afterward owned by, also known as subsequently owned by, purchased by, owned after by, new owner, bought by (wd:P11812 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): person or institution that owned the subject after stated event....ficant event (P793)" for events like sales, auctions, gifts, etc
6. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
7. merged into, also known as absorbed in, acquired by, annexed to, bought by, dissolved into (wd:P7888 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): the subject was dissolved and merged into the object, that existed previously
8. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): person, profession, organization or entity that operates the equipment, facility, or service, used by
9. copyright holder, also known as licensor, proprietor, copyright owner, copyright ‘owner’ (wd:P3931 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): person or organisation who holds the copyright of a work according to the Berne Convention, owned by
10. handled, mitigated, or managed by, also known as mitigated by, handled by, managed by (wd:P11738 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): approach or method that can be used to address an issue or problem

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

Now, I need to check if the ownership information for Chrysler Corporation (wd:Q181114) is qualified by time, so I can filter for the year 2011. I will list some triples for Chrysler Corporation with the property "owned by" to see if there are time qualifiers.

[Tool]
Got 1 row and 3 columns:
| subject                               | property            | object                    |
| ------------------------------------- | ------------------- | ------------------------- |
| Stellantis North America (wd:Q181114) | owned by (wdt:P127) | Stellantis (wd:Q97439162) |

[Assistant]
The direct "owned by" property (wdt:P127) for Chrysler Corporation (Stellantis North America, wd:Q181114) currently points to Stellantis (wd:Q97439162). However, this does not provide historical ownership or qualifiers for the year 2011.

To get historical ownership, I need to look at the full statement (not just the direct property) to see if there are qualifiers for the time period. I will list the full statements (p:P127) for Chrysler Corporation and check for time qualifiers.

[Tool]
Got 1 row and 3 columns:
| subject                               | property          | object                                         |
| ------------------------------------- | ----------------- | ---------------------------------------------- |
| Stellantis North America (wd:Q181114) | owned by (p:P127) | s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae |

[Assistant] There is one full statement for "owned by" on Chrysler Corporation (Stellantis North America). To check for time qualifiers and the actual owner entity, I need to list the properties of the statement node s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae.

[Tool]
Got 8 rows and 3 columns:
| subject                                        | property              | object                                       |
| ---------------------------------------------- | --------------------- | -------------------------------------------- |
| s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae | owned by (ps:P127)    | Stellantis (wd:Q97439162)                    |
| s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae | start time (pq:P580)  | 2021-01-16T00:00:00Z (xsd:dateTime)          |
| s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae | wikibase:rank         | wikibase:NormalRank                          |
| s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae | rdf:type              | wikibase:BestRank                            |
| s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae | prov:wasDerivedFrom   | ref:64a55cd2156959c80115e57597614772ad320886 |
| s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae | start time (pqv:P580) | v:348e732dabe8383809ebd01e184db783           |
| s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae | rdf:type              | wikibase:Statement                           |
| s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae | prov:wasDerivedFrom   | ref:d416ed307bc452b4f889e47d0cf887c3c4d36953 |

[Assistant]
The only "owned by" statement for Chrysler Corporation (Stellantis North America) is for Stellantis, with a start time of 2021-01-16. This means Stellantis was not the owner in 2011.

To find the owner in 2011, I need to look for previous owners. I will check for other ownership-related properties, such as "parent organization" (wd:P749), which sometimes contains historical parent company information with time qualifiers.

[Tool]
Got 1 row and 3 columns:
| subject                               | property                     | object                                         |
| ------------------------------------- | ---------------------------- | ---------------------------------------------- |
| Stellantis North America (wd:Q181114) | parent organization (p:P749) | s:Q181114-f692eaf3-477b-e6d4-8849-6cb6466c20e6 |

[Assistant] There is one "parent organization" statement for Chrysler Corporation. I will now list the properties of the statement node s:Q181114-f692eaf3-477b-e6d4-8849-6cb6466c20e6 to check for the parent organization and any time qualifiers.

[Tool]
Got 6 rows and 3 columns:
| subject                                        | property                      | object                              |
| ---------------------------------------------- | ----------------------------- | ----------------------------------- |
| s:Q181114-f692eaf3-477b-e6d4-8849-6cb6466c20e6 | start time (pq:P580)          | 2021-01-01T00:00:00Z (xsd:dateTime) |
| s:Q181114-f692eaf3-477b-e6d4-8849-6cb6466c20e6 | parent organization (ps:P749) | Stellantis (wd:Q97439162)           |
| s:Q181114-f692eaf3-477b-e6d4-8849-6cb6466c20e6 | wikibase:rank                 | wikibase:NormalRank                 |
| s:Q181114-f692eaf3-477b-e6d4-8849-6cb6466c20e6 | rdf:type                      | wikibase:BestRank                   |
| s:Q181114-f692eaf3-477b-e6d4-8849-6cb6466c20e6 | start time (pqv:P580)         | v:068defc300d06ed22eb72f44c2fe8914  |
| s:Q181114-f692eaf3-477b-e6d4-8849-6cb6466c20e6 | rdf:type                      | wikibase:Statement                  |

[Assistant]
The only "parent organization" statement also points to Stellantis, with a start time in 2021. This does not help for 2011.

Since neither "owned by" nor "parent organization" statements cover the year 2011, I should check if there are any other relevant properties or statements for Chrysler Corporation that might indicate ownership or parent company in the past, such as "subsidiary", "acquired by", or similar. I will search for properties related to "acquired by" for Chrysler Corporation.

[Tool]
Top 10 property alternatives:
1. owner of, also known as owns, owns property, shareholder of (wd:P1830 as wdt/p): entities owned by the subject
2. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as wdt/p): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
3. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as wdt/p): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
4. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as wdt/p): owner of the subject
5. net profit, also known as profit, net return, net income, clear profit, clear gain (wd:P2295 as wdt/p): private entity profit after accounting for all costs
6. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, location of creation
7. has works in the collection, also known as has items in the collection, works in collection, work in collection, museum housing this person's work, items in the collection (wd:P6379 as wdt/p): collection that has works of this person or organisation (use archives at [P485] for archives)
8. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as wdt/p): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
10. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon

No other items found

[Assistant]
There are no additional properties like "acquired by" directly available for Chrysler Corporation in Wikidata.

Given that, another approach is to look at the history of Chrysler Corporation and see if there are any predecessor or merger events recorded, or to look for subsidiaries of other companies that might have owned Chrysler in 2011. Historically, Fiat was a major owner of Chrysler around 2011. I will check if Chrysler is listed as a subsidiary of Fiat or Fiat Chrysler Automobiles (FCA) with time qualifiers.

First, I will search for "Fiat Chrysler Automobiles" in Wikidata to get its entity.

[Tool]
Top 10 entity alternatives:
1. Fiat Chrysler Automobiles, also known as Fiat Chrysler Automobiles NV, Fiat Chrysler Automobiles Group, FCA Group, FCA, Fiat Chrysler (wd:Q15678788): Italian-American multinational automotive manufacturing (2014-2021)
2. Stellantis Italy, also known as FCA Italy, Fiat Chrysler Automobiles (Italy), Fiat Group Automobiles, Fiat Group Automobiles S.p.A. (wd:Q3744458): Italian automobile manufacturer
3. Fiat Ireland, also known as FCA Ireland, Fiat Chrysler Automobiles Ireland, Stellantis Ireland (wd:Q80900581): automotive company in Ireland
4. Fiat Chrysler Automobiles (France) (wd:Q30291797): company in Paris, France
5. Fiat Chrysler Automobiles (United Kingdom), also known as FCA (wd:Q55454107): company in London, United Kingdom
6. Stellantis United States, also known as Fiat Chrysler Automobiles (United States) (wd:Q29122922): business
7. Fiat, also known as Fiat Automobiles, Torino Italian Automobile Manufacturer, Fiat Automobiles S.p.A. (wd:Q27597): automotive and aircraft brand manufacturing subsidiary of FCA Italy
8. GAC Fiat Chrysler, also known as GAC FCA, GAC Fiat Automobiles Co., Ltd. (wd:Q1164191): Chinese automobile manufacturing company
9. Fiat and Chrysler, negotiating for survival (wd:Q61039742)
10. Fiat Automobiles halt production for nine days (wd:Q17754169): Wikinews article

[Assistant]
The main entity for Fiat Chrysler Automobiles is wd:Q15678788. Since this company existed from 2014 to 2021, and Chrysler was owned by Fiat before the merger into FCA, I should also check the entity for Fiat (wd:Q27597).

I will now check if Chrysler Corporation (wd:Q181114) is listed as a subsidiary (wd:P355) of either Fiat Chrysler Automobiles (wd:Q15678788) or Fiat (wd:Q27597) with time qualifiers covering 2011. Let's start with Fiat Chrysler Automobiles.

[Tool]
Got 5 rows and 3 columns:
| subject                                  | property                | object                                           |
| ---------------------------------------- | ----------------------- | ------------------------------------------------ |
| Fiat Chrysler Automobiles (wd:Q15678788) | has subsidiary (p:P355) | s:Q15678788-1EBBBB0A-B2A5-46D6-860F-458850F0E5F1 |
| Fiat Chrysler Automobiles (wd:Q15678788) | has subsidiary (p:P355) | s:Q15678788-41705a09-403e-3b7a-04d5-60e782db9858 |
| Fiat Chrysler Automobiles (wd:Q15678788) | has subsidiary (p:P355) | s:Q15678788-86ED59AF-DB41-4FEB-A291-E9830A9184D9 |
| Fiat Chrysler Automobiles (wd:Q15678788) | has subsidiary (p:P355) | s:Q15678788-BE2C1C34-E894-4994-B1F1-FAE62C68D388 |
| Fiat Chrysler Automobiles (wd:Q15678788) | has subsidiary (p:P355) | s:Q15678788-ECD5BDAD-BC27-4808-BBB8-44C3F133A57E |

[Assistant] There are five "has subsidiary" statements for Fiat Chrysler Automobiles. I need to check the details of each statement node to see if any of them refer to Chrysler Corporation and cover the year 2011. I will start by listing the properties of the first statement node: s:Q15678788-1EBBBB0A-B2A5-46D6-860F-458850F0E5F1.

[Tool]
Got 4 rows and 3 columns:
| subject                                          | property                 | object                                |
| ------------------------------------------------ | ------------------------ | ------------------------------------- |
| s:Q15678788-1EBBBB0A-B2A5-46D6-860F-458850F0E5F1 | has subsidiary (ps:P355) | Stellantis North America (wd:Q181114) |
| s:Q15678788-1EBBBB0A-B2A5-46D6-860F-458850F0E5F1 | wikibase:rank            | wikibase:NormalRank                   |
| s:Q15678788-1EBBBB0A-B2A5-46D6-860F-458850F0E5F1 | rdf:type                 | wikibase:BestRank                     |
| s:Q15678788-1EBBBB0A-B2A5-46D6-860F-458850F0E5F1 | rdf:type                 | wikibase:Statement                    |

[Tool]
Got 4 rows and 3 columns:
| subject                                          | property                 | object                                |
| ------------------------------------------------ | ------------------------ | ------------------------------------- |
| s:Q15678788-1EBBBB0A-B2A5-46D6-860F-458850F0E5F1 | has subsidiary (ps:P355) | Stellantis North America (wd:Q181114) |
| s:Q15678788-1EBBBB0A-B2A5-46D6-860F-458850F0E5F1 | wikibase:rank            | wikibase:NormalRank                   |
| s:Q15678788-1EBBBB0A-B2A5-46D6-860F-458850F0E5F1 | rdf:type                 | wikibase:BestRank                     |
| s:Q15678788-1EBBBB0A-B2A5-46D6-860F-458850F0E5F1 | rdf:type                 | wikibase:Statement                    |

[Assistant]
This statement links Fiat Chrysler Automobiles (wd:Q15678788) as the parent of Stellantis North America (Chrysler Corporation, wd:Q181114), but there are no time qualifiers shown here.

Since FCA was formed in 2014, and the user asked about 2011, I need to check if Fiat (wd:Q27597) was the owner in 2011. I will now check if Chrysler Corporation is listed as a subsidiary of Fiat.

[Tool]
Got 1 row and 3 columns:
| subject          | property                | object                                        |
| ---------------- | ----------------------- | --------------------------------------------- |
| Fiat (wd:Q27597) | has subsidiary (p:P355) | s:Q27597-efd23c19-418f-b739-9c69-0a08190d3032 |

[Tool]
Got 4 rows and 3 columns:
| subject                                       | property                 | object                                              |
| --------------------------------------------- | ------------------------ | --------------------------------------------------- |
| s:Q27597-efd23c19-418f-b739-9c69-0a08190d3032 | has subsidiary (ps:P355) | Fiat-Automobil-Verkaufsgesellschaft (wd:Q124336914) |
| s:Q27597-efd23c19-418f-b739-9c69-0a08190d3032 | wikibase:rank            | wikibase:NormalRank                                 |
| s:Q27597-efd23c19-418f-b739-9c69-0a08190d3032 | rdf:type                 | wikibase:BestRank                                   |
| s:Q27597-efd23c19-418f-b739-9c69-0a08190d3032 | rdf:type                 | wikibase:Statement                                  |

[Assistant]
Fiat's only listed subsidiary is not Chrysler Corporation, but "Fiat-Automobil-Verkaufsgesellschaft." There is no direct evidence in Wikidata's structured data that Fiat owned Chrysler in 2011, even though this is historically accurate.

Given the limitations of the structured data, the best available information in Wikidata is that Stellantis North America (Chrysler Corporation) was owned by Stellantis from 2021, and before that, it was part of Fiat Chrysler Automobiles (from 2014). The direct ownership by Fiat in 2011 is not explicitly recorded in Wikidata's structured statements.

I will write a SPARQL query that attempts to retrieve all owners or parent organizations of Chrysler Corporation (wd:Q181114) with any available time qualifiers, so the user can see the available data and its limitations.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?occupation WHERE {
  wd:Q302 wdt:P106 ?occupation
}

Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| occupation                      |
| ------------------------------- |
| rabbi (wd:Q133485)              |
| thaumaturge (wd:Q1349880)       |
| carpenter (wd:Q154549)          |
| religious leader (wd:Q15995642) |
| father of faith (wd:Q2142783)   |
| ...                             |
| teacher (wd:Q37226)             |
| prophet (wd:Q42857)             |
| preacher (wd:Q432386)           |
| Messiah (wd:Q51626)             |
| tektōn (wd:Q7695510)            |

According to Wikidata, Jesus is associated with several occupations, including rabbi, thaumaturge, carpenter, religious leader, father of faith, teacher, prophet, preacher, Messiah, and tektōn.

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

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

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

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

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

[User] what did jesus do for living?

[Assistant]
Let's break down the question:

1. The question asks about the occupation or profession of Jesus.
2. First, I need to identify the correct entity for "Jesus" in Wikidata.
3. Then, I need to find the property in Wikidata that represents "occupation" or "profession".
4. Finally, I will query for the occupation(s) of Jesus.

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

[Tool]
Top 10 entity alternatives:
1. Jesus, also known as The Messiah, Son of Man, The Saviour, Lord of Lords, Saviour of the world (wd:Q302): central figure of Christianity (6 or 4 BC – AD 30 or 33), religious leader, father of faith, thaumaturge, carpenter, preacher, Messiah, teacher, prophet, pastor, healer, tektōn, rabbi
2. Jesus in Islam, also known as Isa Masih, ʿĪsā ibn Maryam, Jesus, Isa (wd:Q51664): penultimate prophet and eschatological figure in Islam, missionary, preacher
3. Jesus, also known as The Jesus Film, Word-for-Word, the Bible on Video: Gospel of Luke (wd:Q575248): 1979 film directed by Peter Sykes and John Krish
4. Jesus (wd:Q614950): 1999 Biblical telefilm directed by Roger Young
5. Jesus, also known as Jesus (first name), Jesus (given name) (wd:Q1158269): male given name
6. Jesús, also known as Jesús, Paraguay, Jesus, Paraguay, Jesus de Tavarangue, Jesús de Tavarangüé, Jesus (wd:Q1688403): district of Paraguay
7. Jesús, also known as Jesus, Jesus, Peru, Jesús, Peru (wd:Q125646): human settlement in Peru
8. Aaron Aguilera, also known as Jesús, Zodiac, Uno, Lujo Esquire (wd:Q2544720): American professional wrestler and actor, professional wrestler, television actor, film actor
9. Jesús (wd:Q27959449): 2016 film by Fernando Guzzoni
10. Ezequiel Guillermo Jesus Amaya, also known as Jesús (wd:Q5423218): association football player, Argentine footballer

[Assistant]
The most relevant entity for "Jesus" as the central figure of Christianity is wd:Q302.

Next, I need to find the property in Wikidata that represents "occupation" or "profession". I will search for the property "occupation".

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

[Assistant]
The most relevant property for "occupation" is wd:P106.

Now, I will construct a SPARQL query to find the occupation(s) (wd:P106) of Jesus (wd:Q302). I will also try to retrieve optional labels for better readability.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| occupation                      | occupationLabel       |
| ------------------------------- | --------------------- |
| rabbi (wd:Q133485)              | rabbi (en)            |
| thaumaturge (wd:Q1349880)       | thaumaturge (en)      |
| carpenter (wd:Q154549)          | carpenter (en)        |
| religious leader (wd:Q15995642) | religious leader (en) |
| father of faith (wd:Q2142783)   | father of faith (en)  |
| ...                             | ...                   |
| teacher (wd:Q37226)             | teacher (en)          |
| prophet (wd:Q42857)             | prophet (en)          |
| preacher (wd:Q432386)           | preacher (en)         |
| Messiah (wd:Q51626)             | Messiah (en)          |
| tektōn (wd:Q7695510)            | tektōn (en)           |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?venue WHERE {
  wd:Q599903 wdt:P115 ?venue
}

The Ireland national rugby union team plays at Aviva Stadium (wd:Q244402).

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

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

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

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

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

[User] where do ireland play rugby union?

[Assistant]
Let's break down the question:

1. The user is asking about the locations (venues or stadiums) where the Ireland national rugby union team plays.
2. We need to identify the entity for the Ireland national rugby union team.
3. Then, we need to find the property that links a sports team to its home venue(s) or stadium(s).

First, I will search for the entity "Ireland national rugby union team" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Ireland rugby union team, also known as Ireland national rugby team, Ireland national rugby union team (wd:Q599903): Men’s rugby union team representing the island of Ireland
2. Ireland women's national rugby union team (wd:Q3589823): women’s rugby union team representing the island of Ireland
3. Ireland national rugby union sevens team, also known as Ireland national rugby sevens team, Ireland sevens rugby team (wd:Q7902223): national sevens rugby team
4. Ireland national under-20 rugby union team (wd:Q6068684): rugby team
5. Ireland national schoolboy rugby union team (wd:Q6068681): sports team
6. Ireland women's national rugby union sevens team, also known as Ireland women's national sevens team (wd:Q6068719): sevens national rugby team
7. History of the Ireland national rugby union team (wd:Q23808242)
8. national rugby union team (wd:Q58840819): rugby union team that represents a country in international competitions
9. England national rugby union team, also known as England rugby union team, England rugby team, England national rugby team, England Rugby (wd:Q378628): Men’s rugby union team representing England
10. France national rugby union team, also known as France national rugby team, France rugby team, France rugby union team (wd:Q518116): Men’s rugby union team representing France

[Assistant]
The correct entity for the Ireland national rugby union team is wd:Q599903.

Next, I need to find the property that links a sports team to its home venue or stadium. I will search for properties related to "stadium" or "venue".

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/p): home stadium or venue of a sports team or applicable performing arts organization, location
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
4. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdt/p): subject's ordinal position as qualitatively evaluated relative to other members of a group
5. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as wdt/p): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
7. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
8. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as wdt/p): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
9. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as wdt/p): informal name (for a pseudonym use P742), name
10. competition won, also known as won event, won, winner of, victory (wd:P2522 as wdt/p): competition or sports event won by the subject, participant in

No other items found

[Assistant]
The most relevant property is "home venue" (wd:P115), which is also known as stadium, home ground, or home field.

Now, I will construct a SPARQL query to find the home venues (stadiums) of the Ireland national rugby union team (wd:Q599903) using the property "home venue" (wdt:P115). I will also try to retrieve the labels of the venues for better readability.

[Tool]
Got 1 row and 2 columns:
| venue                      | venueLabel         |
| -------------------------- | ------------------ |
| Aviva Stadium (wd:Q244402) | Aviva Stadium (en) |

[Tool]
Got 262 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                         | object                                           |
| ------------------------------------- | -------------------------------- | ------------------------------------------------ |
| Ireland rugby union team (wd:Q599903) | instance of (wdt:P31)            | national rugby union team (wd:Q58840819)         |
| Ireland rugby union team (wd:Q599903) | country (wdt:P17)                | United Kingdom (wd:Q145)                         |
| Ireland rugby union team (wd:Q599903) | Commons category (wdt:P373)      | Ireland national rugby union team                |
| Ireland rugby union team (wd:Q599903) | location (wdt:P276)              | Ireland (wd:Q22890)                              |
| Ireland rugby union team (wd:Q599903) | inception (wdt:P571)             | 1875-02-15T00:00:00Z (xsd:dateTime)              |
| Ireland rugby union team (wd:Q599903) | sport (wdt:P641)                 | rugby union (wd:Q5849)                           |
| Ireland rugby union team (wd:Q599903) | official website (wdt:P856)      | <https://www.irishrugby.ie/ireland/men/>         |
| Ireland rugby union team (wd:Q599903) | different from (wdt:P1889)       | Ireland national rugby league team (wd:Q3589812) |
| Ireland rugby union team (wd:Q599903) | participant in (wdt:P1344)       | 2015 Rugby World Cup (wd:Q393491)                |
| Ireland rugby union team (wd:Q599903) | topic's main category (wdt:P910) | wd:Q8553707                                      |
| ...                                   | ...                              | ...                                              |

[Assistant]
The SPARQL query result shows that the Ireland national rugby union team plays at Aviva Stadium (wd:Q244402).

To summarize:
- The main home venue for the Ireland national rugby union team is Aviva Stadium.

Here is the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team WHERE {
  wd:Q119562 wdt:P54 ?team
}

Got 8 rows and 1 column:
| team                                                           |
| -------------------------------------------------------------- |
| Argentina national under-20 football team (wd:Q1187790)        |
| Club Atlético Independiente (wd:Q214978)                       |
| Argentina national under-23 football team (wd:Q2462207)        |
| Argentina national under-17 football team (wd:Q2902690)        |
| Manchester City F.C. (wd:Q50602)                               |
| FC Barcelona (wd:Q7156)                                        |
| Argentina men's national association football team (wd:Q79800) |
| Atlético de Madrid (wd:Q8701)                                  |

Sergio Agüero played for the following teams (as identified by their Wikidata IRIs):
- wd:Q1187790 (Argentina national under-20 football team)
- wd:Q214978 (Club Atlético Independiente)
- wd:Q2462207 (Argentina national under-23 football team)
- wd:Q2902690 (Argentina national under-17 football team)
- wd:Q50602 (Manchester City F.C.)
- wd:Q7156 (FC Barcelona)
- wd:Q79800 (Argentina men's national association football team)
- wd:Q8701 (Atlético de Madrid)

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

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

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

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

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

[User] what team did aguero play for?

[Assistant]
Let's break down the question:

1. The user is asking about "Aguero" and the teams he played for.
2. First, I need to identify the correct entity for "Aguero" (likely Sergio Agüero, the footballer).
3. Next, I need to find the property that links a footballer to the teams they played for.

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

[Tool]
Top 10 entity alternatives:
1. Agüero, also known as Agüero, Huesca (wd:Q399683): municipality in the province of Huesca, Spain
2. Agüero (wd:Q3296607): metro station in Buenos Aires
3. Agüero (wd:Q24013451): in Huesca province, Spain
4. Agüero (wd:Q61754610): family name
5. Aguero (wd:Q21491256): family name
6. Blanka Aguero, also known as Aguero, B.Shaw, Blanka Shaw (wd:Q21608757): bryologist, botanist
7. Sergio Agüero, also known as Sergio Leonel Agüero del Castillo (wd:Q119562): Argentine association football player, association football player, online streamer, businessperson
8. Taismary Agüero (wd:Q2590488): beach volleyball player, volleyball player
9. Fernando Agüero (wd:Q888684): politician (1920-2011), politician
10. Pablo Agüero (wd:Q3359955): Argentine film director, film director, screenwriter, director

[Assistant]
The most relevant entity for "Aguero" in the context of football is "Sergio Agüero" (wd:Q119562), an Argentine association football player.

Next, I need to find the property that links a football player to the teams they played for. I'll search for properties related to "team" or "played for".

[Tool]
Top 10 property alternatives:
1. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt/p): sports teams or clubs that the subject represents or represented, member of
2. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as wdt/p): position or specialism of a player on a team
3. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
5. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
6. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
7. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
8. participant, also known as suspect, player, party, participants, has participant (wd:P710 as wdt/p): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

No other items found

[Assistant]
The most relevant property is "member of sports team" (wdt:P54), which is also known as "played for" or "team played for".

Now, I'll construct a SPARQL query to find all teams that Sergio Agüero (wd:Q119562) played for, returning their IRIs and optionally their labels.

[Tool]
Got 8 rows and 2 columns:
| team                                                           | teamLabel                                               |
| -------------------------------------------------------------- | ------------------------------------------------------- |
| Argentina national under-20 football team (wd:Q1187790)        | Argentina national under-20 football team (en)          |
| Club Atlético Independiente (wd:Q214978)                       | Club Atlético Independiente (en)                        |
| Argentina national under-23 football team (wd:Q2462207)        | Argentina national under-23 football team (en)          |
| Argentina national under-17 football team (wd:Q2902690)        | Argentina national under-17 football team (en)          |
| Manchester City F.C. (wd:Q50602)                               | Manchester City F.C. (en)                               |
| FC Barcelona (wd:Q7156)                                        | FC Barcelona (en)                                       |
| Argentina men's national association football team (wd:Q79800) | Argentina men's national association football team (en) |
| Atlético de Madrid (wd:Q8701)                                  | Atlético de Madrid (en)                                 |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language ?languageLabel WHERE {
  wd:Q155 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( lang( ?languageLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| language              | languageLabel   |
| --------------------- | --------------- |
| Portuguese (wd:Q5146) | Portuguese (en) |

The official language of Brazil is Portuguese (wd:Q5146).

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

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

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

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

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

[User] what is the official language of brazil now?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Brazil".
2. We need to find the property for "official language".
3. We need to query the current official language(s) of Brazil.

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

[Tool]
Top 10 entity alternatives:
1. Brazil, also known as Federative Republic of Brazil, Brasil, br (wd:Q155): country in South America
2. Brazil, also known as br, Brasil, Federative Republic of Brazil (wd:Q155): country in South America
3. Brazil (wd:Q25057): 1985 dystopian film by Terry Gilliam
4. Brazil, also known as Brazil, Indiana, Brazil, IN (wd:Q1998364): city in Clay County, Indiana, United States
5. State of Brazil, also known as Brazil, Colonial Brazil, Portuguese Brazil (wd:Q11876909): state of the Portuguese Empire
6. Brazil, also known as Stars and Guitars (wd:Q4958616): 1944 film by Joseph Santley
7. Brazil, also known as Brazil, IA (wd:Q17511873): human settlement in Appanoose County, Iowa, United States
8. Viceroyalty of Brazil, also known as Brasil, Brazil (wd:Q2920081): Portuguese viceroyalty in Brazil 1763-1815
9. Brazil (wd:Q13581616): 1991 song by Bebi Dol
10. Brazil (wd:Q4095706): 1994 novel by John Updike

[Assistant]
The correct entity for the country Brazil is wd:Q155.

Next, I will search for the property "official language" to find its property ID in Wikidata.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language widely used (spoken or written) in this place or at this event or organisation
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
The correct property for "official language" is wdt:P37.

Now, I will construct a SPARQL query to find the current official language(s) of Brazil (wd:Q155) using the property wdt:P37. I will also try to include the language label for clarity, but the main result will be the IRI.

Here is the query I will use:
```sparql
SELECT ?language ?languageLabel WHERE {
  wd:Q155 wdt:P37 ?language .
  OPTIONAL { ?language rdfs:label ?languageLabel . FILTER (lang(?languageLabel) = "en") }
}
```
I will now execute this query.

[Tool]
Got 1 row and 2 columns:
| language              | languageLabel   |
| --------------------- | --------------- |
| Portuguese (wd:Q5146) | Portuguese (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?postalCode WHERE {
  wd:Q653636 wdt:P281 ?postalCode
}

The zip codes for Morgantown, WV are 26501, 26501–26508, 26504, and 26506.

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

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

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

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

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

[User] what is the zip code for morgantown wv?

[Assistant]
Let's break down the question:

1. The user is asking for the zip code of Morgantown, WV (West Virginia).
2. I need to find the entity for Morgantown, WV in Wikidata.
3. Then, I need to find the property in Wikidata that represents "zip code" or "postal code".
4. Finally, I will construct a SPARQL query to retrieve the zip code(s) for Morgantown, WV.

First, I will search for the entity "Morgantown, WV" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Morgantown, also known as Morgantown, West Virginia, Morgantown, WV (wd:Q653636): city in and county seat of Monongalia County, West Virginia, United States
2. Sunnyside, Morgantown, West Virginia (wd:Q130619012): unincorporated community in West Virginia, United States
3. Mayor of Morgantown, West Virginia, also known as Mayor of Morgantown (wd:Q108918029): political office in the United States
4. West Virginia Junior College at Morgantown (wd:Q7986858)
5. Third Workshop on Enabling Techn...town, WV, USA, 17-19 April, 1994, also known as 3rd WETICE 1994: Morgantown, West Virginia, USA (wd:Q106243824): academic workshop
6. West Virginia, also known as W.Va., State of West Virginia, W. Va., West Virginia, United States, US-WV (wd:Q1371): state of the United States of America
7. West Virginia, also known as Almost Heaven, State of West Virginia, The Mountain State, W.Va., US-WV (wd:Q1371): state of the United States of America
8. Weston, also known as Weston, West Virginia, Weston, WV (wd:Q2532326): city in West Virginia, United States
9. West Virginia University, also known as wvu.edu, WVU, W.V.U., West Virginia, Agricultural College of West Virginia (wd:Q115376): public university in Morgantown, West Virginia, United States
10. Westover, also known as Westover, West Virginia, Westover, WV (wd:Q2557713): human settlement in Monongalia County, West Virginia, United States

[Assistant]
The most relevant entity for Morgantown, WV is wd:Q653636.

Next, I need to find the property in Wikidata that represents "zip code" or "postal code". I will search for the property "zip code".

[Tool]
Top 10 property alternatives:
1. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): identifier assigned by postal authorities for the subject area or building
2. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): identifier dedicated to subject city by the area communication network
3. country calling code, also known as calling code, country code, country dialing code, dialing code, phone code (wd:P474 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): identifier for a country - dialed on phone after the international dialing prefix (precede value by +)
4. location code (wd:P13262 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): an assigned code for the location (physical or virtual) within a given system (please use more specific property if available), catalog code
5. CDDA designationTypeCode, also known as designated area code, CDDA type ID, CDDA type, CDDA, CDDA code (wd:P9800 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): code for the national designation type used in the Common Database on Designated Areas inventory (CDDA)
6. Dictionary of Occupational Titles Code (fourth edition, revised), also known as DOT code (wd:P8679 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): occupation code from the Dictionary of Occupational Titles, fourth edition, revised
7. post office box, also known as PO Box, Post Office Box, P.O. Box, P. O. Box, P O Box (wd:P2918 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): post office box number, as part of an address
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
10. issue, also known as number, no., issue number (wd:P433 as pr/p/psn/wdtn/pqn/prn/ps/psv/pqv/prv/wdt/pq): issue of a newspaper, a scientific journal or magazine for reference purpose

[Assistant]
The most relevant property for "zip code" is "postal code" (wd:P281).

Now, I will construct a SPARQL query to retrieve the postal code(s) for Morgantown, WV (wd:Q653636) using the property "postal code" (wd:P281).

[Tool]
Got 4 rows and 1 column:
| postalCode  |
| ----------- |
| 26501       |
| 26501–26508 |
| 26504       |
| 26506       |

[Tool] Stopped generation process