PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  wd:Q148 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

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

Chinese people write in the official languages of the People's Republic of China, which include Standard Chinese and Chinese.

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
what kind of language do irish speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q170826 wdt:P1412 ?x .
}

Using entities:
Irish people, also known as Gaels, Irish (wd:Q170826): Celtic people

Using properties:
languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)

Example 2:
Question:
what airlines fly into ontario international airport?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P113 wd:Q949831 .
}

Using entities:
Ontario International Airport, also known as KONT, LA/Ontario International Airport, ONT, Ontario Municipal Airport (wd:Q949831): airport near Ontario in the Greater Los Angeles Area, California, United States

Using properties:
airline hub, also known as hub airport, hub (wd:P113 as wdt): airport that serves as a hub for an airline

Example 3:
Question:
what country did james watt come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q9041 wdt:P27 ?x .
}

Using entities:
James Watt, also known as James von Breda Watt, James, Sr. Watt (wd:Q9041): British engineer (1736–1819), mathematician, entrepreneur, technician, physicist, engineer, inventor, chemist

Using properties:
country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt): the object is a country that recognizes the subject as its citizen, country

[Assistant]
The example for the question "what kind of language do irish speak?" uses the property "languages spoken, written or signed" (wdt:P1412) for the entity "Irish people" (wd:Q170826). This property seems relevant for our question as well, since it relates to languages used by a group of people.

Next, I will search for the entity representing "Chinese people" to use it in a similar query.

[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 entity "Chinese people" is represented by wd:Q6501380 in Wikidata. Now, I will use the property "languages spoken, written or signed" (wdt:P1412) to find the languages that Chinese people write in.

[Tool] Got no rows and 2 columns

[Assistant] The direct property "languages spoken, written or signed" (wdt:P1412) did not return any results for the entity "Chinese people" (wd:Q6501380). It might be more specific to use the ethnic group "Han Chinese people" (wd:Q42740), which is the largest ethnic group in China, to find the language they write in. I will try that next.

[Tool] Got no rows and 2 columns

[Assistant] The property "languages spoken, written or signed" (wdt:P1412) also did not return results for "Han Chinese people" (wd:Q42740). I will now search for properties related to language for the entity "Chinese people" (wd:Q6501380) to find a more suitable property.

[Tool]
Top 10 property alternatives:
1. indigenous to, also known as native to, originating from, spoken by (wd:P2341 as p/wdt): place or ethnic group where a language, art genre, cultural trad...biological species or variety is found (or was originally found)
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
4. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
5. Microsoft Academic ID, also known as MS Academic ID, Microsoft ID, Microsoft Academic Work ID, Microsoft Academic topic ID, Microsoft Academic Source ID (wd:P6366 as p/wdt/wdtn): identifier for an object or topic in the Microsoft Academic Graph (until 31 December 2021)
6. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as p/wdt): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
9. NDL Authority ID, also known as NDLSH (NDL Subject Headings), NDLNA (NDL Name Authority), NDLNAId, NDL identifier, NDL ID (wd:P349 as p/wdt/wdtn): identifier for authority control per the National Diet Library of Japan
10. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location

No other items found

[Assistant] There is no direct property related to language for the entity "Chinese people" (wd:Q6501380). I will try to find the official language of China (the country) instead, as it is likely the language Chinese people write in. I will search for the entity "China" first.

[Tool]
Top 10 entity alternatives:
1. People's Republic of China, also known as Zhōngguó, The PRC, RPC, CHN, Red China (wd:Q148): country in East Asia
2. porcelain, also known as china, fine china (wd:Q130693): ceramic material
3. China, also known as All under Heaven, Zhonghua, Cathay, Zhongguo, Tianxia (wd:Q29520): cultural region, ancient civilization, and nation in East Asia, ...in political situation and rarely refer to the Republic of China
4. China, also known as Sinae, Zhonghua, Zhongguo, Tianxia, Middle Kingdom (wd:Q29520): cultural region, ancient civilization, and nation in East Asia, ...in political situation and rarely refer to the Republic of China
5. 1125 China, also known as (1125) China, China (wd:Q136211): asteroid
6. China, also known as China, TX, China, Texas (wd:Q288864): city in Jefferson County, Texas, United States
7. China, also known as China, Maine, China, ME (wd:Q3447500): town in Kennebec County, Maine, United States
8. China (wd:Q932423): town in Ōshima district, Kagoshima prefecture, Japan
9. Tianxia, also known as All under Heaven, Tien Hsia, T'ien Hsia, Tien-hsia, T'ien-hsia (wd:Q955223): Chinese cultural, philosophical, and political concept
10. China (wd:Q942154): municipality in the Nuevo León, Mexico

[Assistant] The entity for the country "People's Republic of China" is wd:Q148. I will now query for the official language(s) of this country using the property "official language" (wdt:P37).

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

[Assistant]
The official languages of the People's Republic of China include "Standard Chinese" (wd:Q727694) and "Chinese" (wd:Q7850). These are the languages that Chinese people write in.

I will now finalize the answer with this information.

[Tool] Stopped generation process


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?owner ?ownerLabel WHERE {
  wd:Q181114 p:P127 ?statement .
  ?statement ps:P127 ?owner .
  OPTIONAL {
    ?owner rdfs:label ?ownerLabel FILTER ( LANG( ?ownerLabel ) = "en" )
  }
}

Wikidata does not have explicit ownership information for Chrysler Corporation in 2011. The current entity Stellantis North America (wd:Q181114) is the owner starting from 2021, and its predecessor Fiat Chrysler Automobiles (wd:Q15678788) existed from 2014 to 2021 with multiple owners. There is no recorded owner for Chrysler Corporation specifically in 2011 in Wikidata.

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
what character did stan lee create?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P170 wd:Q181900 .
}

Using entities:
Stan Lee, also known as Stanley Martin Lieber, Stanley Lieber, The Man, Neel Nats, S. T. Anley (wd:Q181900): American comic book writer, editor, publisher, and producer (1922–2018), science fiction writer, television presenter, business executive, executive producer, comics writer, comics editor, film producer, screenwriter, voice actor, journalist, film actor, publisher, soldier, editor, writer

Using properties:
creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt): maker of this creative work or other object (where no more specific property exists)

Example 2:
Question:
what language does the country italy speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q38 wdt:P37 ?x .
}

Using entities:
Italy, also known as Italia, Republic of Italy, Repubblica Italiana, Italian Republic, ITA (wd:Q38): country in Southern Europe

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

Example 3:
Question:
where does ryan lochte live now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q201517 wdt:P551 ?x .
}

Using entities:
Ryan Lochte, also known as Ryan Steven Lochte (wd:Q201517): American swimmer, swimmer

Using properties:
residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt): the place where the person is or has been, resident, location

[Assistant]
The examples show how to query for ownership or creator relations using properties like "creator" (wdt:P170) or for relationships like "residence" (wdt:P551). For ownership of a corporation, we need to find the property that relates a corporation to its owner.

Next, I will search for the entity "Chrysler Corporation" to find its Wikidata identifier.

[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 entity "Stellantis North America" (wd:Q181114) is also known as Chrysler Corporation, Chrysler LLC, FCA US, which matches the Chrysler Corporation we are interested in.

Next, I will search for properties related to ownership for this entity. I will search for properties of the entity wd:Q181114 with the query "owner".

[Tool]
Top 10 property alternatives:
1. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as p/wdt): owner of the subject
2. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
3. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as p/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
4. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as p/wdt): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
5. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as p/wdt): founder or co-founder of this organization, religion, place or entity, creator
6. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as p/wdt): person who manages any kind of group, significant person
7. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
8. chief executive officer, also known as executive director, CEO, chief executive (wd:P169 as p/wdt): highest-ranking corporate officer appointed as the CEO within an organization, director / manager, corporate officer
9. 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 p/wdt): 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
10. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as p/wdt): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one

No other items found

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

Now, I will construct a query to find the owner of Chrysler Corporation (wd:Q181114) in the year 2011. For this, I will check if there is a qualifier for the point in time (P585) on the ownership statement.

I will first check if there are any statements for the property "owned by" (P127) for the entity wd:Q181114.

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

[Assistant] The owner of Chrysler Corporation (wd:Q181114) is Stellantis (wd:Q97439162). Now I will check if there is a qualifier for the point in time (P585) on this ownership statement to confirm if this ownership was valid in 2011. I will list the statements for the property P127 with qualifiers for the entity wd:Q181114.

[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 a statement node for the ownership (p:P127) of Chrysler Corporation. I will now list the qualifiers for this statement node to check if there is a point in time qualifier (P585).

[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 ownership by Stellantis started on 2021-01-16, so Stellantis was not the owner in 2011.

I will now check if there are other owners or ownership statements for Chrysler Corporation (wd:Q181114) with different time qualifiers. I will list all statements for property P127 for the entity wd:Q181114.

[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 only one ownership statement for Chrysler Corporation (wd:Q181114) in Wikidata, which is the ownership by Stellantis starting in 2021.

Since the user asked about the owner in 2011, I will check if Chrysler Corporation had a different owner or if it was independent at that time. I will search for the entity "Chrysler" to see if there is a separate entity for the company before it became Stellantis.

[Tool]
Top 10 entity alternatives:
1. Chrysler, also known as Chrysler brand (wd:Q29610): US automotive brand
2. .chrysler (wd:Q26986638): unassigned generic top-level Internet domain
3. Chrysler (wd:Q37568771): family name
4. Mintin Asbury Chrysler, also known as Chrysler, M. A. C., M. A. Chrysler (wd:Q21395669): botanist (1871-1963), botanist
5. Chrysler (wd:Q131546082): female given name
6. Chrysler (wd:Q115870712): railway point in Saskatchewan, Canada
7. Chrysler Building, also known as The Chrysler Building, 405 Lexington Avenue (wd:Q11274): building in New York City
8. Mercedes-Benz Group, also known as MBG, DaimlerChrysler, Daimler Chrysler, Daimler Benz, Daimler-Benz (wd:Q27530): German automotive manufacturer
9. Stellantis North America, also known as Chrysler Corporation, Chrysler LLC, FCA US (wd:Q181114): American automotive manufacturer
10. 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)

[Assistant]
There is an entity "Fiat Chrysler Automobiles" (wd:Q15678788) which existed from 2014 to 2021, and "Stellantis North America" (wd:Q181114) which is the current entity. The original Chrysler Corporation might have been succeeded by these entities.

I will check the ownership of "Fiat Chrysler Automobiles" (wd:Q15678788) to see if it existed in 2011 or if there was an owner for Chrysler Corporation before 2014.

[Tool]
Got 4 rows and 3 columns:
| subject                                  | property            | object                          |
| ---------------------------------------- | ------------------- | ------------------------------- |
| Fiat Chrysler Automobiles (wd:Q15678788) | owned by (wdt:P127) | UBS (wd:Q193199)                |
| Fiat Chrysler Automobiles (wd:Q15678788) | owned by (wdt:P127) | The Vanguard Group (wd:Q849363) |
| Fiat Chrysler Automobiles (wd:Q15678788) | owned by (wdt:P127) | Exor (wd:Q1384140)              |
| Fiat Chrysler Automobiles (wd:Q15678788) | owned by (wdt:P127) | Tiger Management (wd:Q7801440)  |

[Assistant]
Fiat Chrysler Automobiles (wd:Q15678788) had multiple owners: UBS (wd:Q193199), The Vanguard Group (wd:Q849363), Exor (wd:Q1384140), and Tiger Management (wd:Q7801440).

I will check the time qualifiers for these ownership statements to see if any of them were owners in 2011. I will list the statements for property P127 for the entity wd:Q15678788.

[Tool]
Got 4 rows and 3 columns:
| subject                                  | property          | object                                           |
| ---------------------------------------- | ----------------- | ------------------------------------------------ |
| Fiat Chrysler Automobiles (wd:Q15678788) | owned by (p:P127) | s:Q15678788-36856720-CA11-4369-94C0-2068157E0596 |
| Fiat Chrysler Automobiles (wd:Q15678788) | owned by (p:P127) | s:Q15678788-62a06c28-443e-0f87-09d2-7732e25238b9 |
| Fiat Chrysler Automobiles (wd:Q15678788) | owned by (p:P127) | s:Q15678788-9ba4adf2-4f20-6807-cd8e-ab2b7590f808 |
| Fiat Chrysler Automobiles (wd:Q15678788) | owned by (p:P127) | s:Q15678788-e63cde8f-404a-74ce-995c-040d35c02558 |

[Assistant] There are four ownership statements for Fiat Chrysler Automobiles (wd:Q15678788). I will check the qualifiers for each statement to find the time qualifiers. I will start with the first statement node s:Q15678788-36856720-CA11-4369-94C0-2068157E0596.

[Tool]
Got 7 rows and 3 columns:
| subject                                          | property               | object                                       |
| ------------------------------------------------ | ---------------------- | -------------------------------------------- |
| s:Q15678788-36856720-CA11-4369-94C0-2068157E0596 | owned by (ps:P127)     | Exor (wd:Q1384140)                           |
| s:Q15678788-36856720-CA11-4369-94C0-2068157E0596 | proportion (pq:P1107)  | 0.287 (xsd:decimal)                          |
| s:Q15678788-36856720-CA11-4369-94C0-2068157E0596 | wikibase:rank          | wikibase:NormalRank                          |
| s:Q15678788-36856720-CA11-4369-94C0-2068157E0596 | rdf:type               | wikibase:BestRank                            |
| s:Q15678788-36856720-CA11-4369-94C0-2068157E0596 | prov:wasDerivedFrom    | ref:fa278ebfc458360e5aed63d5058cca83c46134f1 |
| s:Q15678788-36856720-CA11-4369-94C0-2068157E0596 | proportion (pqv:P1107) | v:76569c7e70834a258148ae26c531a760           |
| s:Q15678788-36856720-CA11-4369-94C0-2068157E0596 | rdf:type               | wikibase:Statement                           |

[Assistant]
The first ownership statement for Fiat Chrysler Automobiles (wd:Q15678788) by Exor (wd:Q1384140) does not have a time qualifier.

I will check the second ownership statement node s:Q15678788-62a06c28-443e-0f87-09d2-7732e25238b9.

[Tool]
Got 7 rows and 3 columns:
| subject                                          | property               | object                                       |
| ------------------------------------------------ | ---------------------- | -------------------------------------------- |
| s:Q15678788-62a06c28-443e-0f87-09d2-7732e25238b9 | owned by (ps:P127)     | UBS (wd:Q193199)                             |
| s:Q15678788-62a06c28-443e-0f87-09d2-7732e25238b9 | proportion (pq:P1107)  | 0.0435 (xsd:decimal)                         |
| s:Q15678788-62a06c28-443e-0f87-09d2-7732e25238b9 | wikibase:rank          | wikibase:NormalRank                          |
| s:Q15678788-62a06c28-443e-0f87-09d2-7732e25238b9 | rdf:type               | wikibase:BestRank                            |
| s:Q15678788-62a06c28-443e-0f87-09d2-7732e25238b9 | prov:wasDerivedFrom    | ref:fa278ebfc458360e5aed63d5058cca83c46134f1 |
| s:Q15678788-62a06c28-443e-0f87-09d2-7732e25238b9 | proportion (pqv:P1107) | v:5654d78a4838b339d22ffbedbfc79da0           |
| s:Q15678788-62a06c28-443e-0f87-09d2-7732e25238b9 | rdf:type               | wikibase:Statement                           |

[Assistant]
The second ownership statement for Fiat Chrysler Automobiles (wd:Q15678788) by UBS (wd:Q193199) also does not have a time qualifier.

I will check the third ownership statement node s:Q15678788-9ba4adf2-4f20-6807-cd8e-ab2b7590f808.

[Tool]
Got 7 rows and 3 columns:
| subject                                          | property               | object                                       |
| ------------------------------------------------ | ---------------------- | -------------------------------------------- |
| s:Q15678788-9ba4adf2-4f20-6807-cd8e-ab2b7590f808 | owned by (ps:P127)     | Tiger Management (wd:Q7801440)               |
| s:Q15678788-9ba4adf2-4f20-6807-cd8e-ab2b7590f808 | proportion (pq:P1107)  | 0.0479 (xsd:decimal)                         |
| s:Q15678788-9ba4adf2-4f20-6807-cd8e-ab2b7590f808 | wikibase:rank          | wikibase:NormalRank                          |
| s:Q15678788-9ba4adf2-4f20-6807-cd8e-ab2b7590f808 | rdf:type               | wikibase:BestRank                            |
| s:Q15678788-9ba4adf2-4f20-6807-cd8e-ab2b7590f808 | prov:wasDerivedFrom    | ref:fa278ebfc458360e5aed63d5058cca83c46134f1 |
| s:Q15678788-9ba4adf2-4f20-6807-cd8e-ab2b7590f808 | proportion (pqv:P1107) | v:cf45f88b192a1931c07fa9b79ffa8b4b           |
| s:Q15678788-9ba4adf2-4f20-6807-cd8e-ab2b7590f808 | rdf:type               | wikibase:Statement                           |

[Assistant]
The third ownership statement for Fiat Chrysler Automobiles (wd:Q15678788) by Tiger Management (wd:Q7801440) also does not have a time qualifier.

I will check the fourth ownership statement node s:Q15678788-e63cde8f-404a-74ce-995c-040d35c02558.

[Tool]
Got 7 rows and 3 columns:
| subject                                          | property               | object                                       |
| ------------------------------------------------ | ---------------------- | -------------------------------------------- |
| s:Q15678788-e63cde8f-404a-74ce-995c-040d35c02558 | owned by (ps:P127)     | The Vanguard Group (wd:Q849363)              |
| s:Q15678788-e63cde8f-404a-74ce-995c-040d35c02558 | proportion (pq:P1107)  | 0.0193 (xsd:decimal)                         |
| s:Q15678788-e63cde8f-404a-74ce-995c-040d35c02558 | wikibase:rank          | wikibase:NormalRank                          |
| s:Q15678788-e63cde8f-404a-74ce-995c-040d35c02558 | rdf:type               | wikibase:BestRank                            |
| s:Q15678788-e63cde8f-404a-74ce-995c-040d35c02558 | prov:wasDerivedFrom    | ref:0b215d24bffe3ac55fc68e00196b39df1b23aae7 |
| s:Q15678788-e63cde8f-404a-74ce-995c-040d35c02558 | proportion (pqv:P1107) | v:c42bb4ca6992371aa8030d3fa9ffa772           |
| s:Q15678788-e63cde8f-404a-74ce-995c-040d35c02558 | rdf:type               | wikibase:Statement                           |

[Assistant]
The fourth ownership statement for Fiat Chrysler Automobiles (wd:Q15678788) by The Vanguard Group (wd:Q849363) also does not have a time qualifier.

Since there are no time qualifiers for the ownership statements of Fiat Chrysler Automobiles, I will check the inception date of this entity to see if it existed in 2011.

[Tool]
Got 1 row and 3 columns:
| subject                                  | property             | object                              |
| ---------------------------------------- | -------------------- | ----------------------------------- |
| Fiat Chrysler Automobiles (wd:Q15678788) | inception (wdt:P571) | 2014-10-12T00:00:00Z (xsd:dateTime) |

[Assistant]
Fiat Chrysler Automobiles (wd:Q15678788) was founded on 2014-10-12, so it did not exist in 2011.

I will now check the owner of Chrysler Corporation (wd:Q181114) before 2014 by looking for ownership statements with end times before 2014. I will check if there are any other ownership statements with qualifiers for the entity wd:Q181114.

[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 only one ownership statement for Chrysler Corporation (wd:Q181114), which is ownership by Stellantis starting in 2021.

I will now check the entity "Chrysler" (wd:Q29610) which is the Chrysler brand, to see if it has ownership information for 2011.

[Tool]
Got 1 row and 3 columns:
| subject              | property            | object                                |
| -------------------- | ------------------- | ------------------------------------- |
| Chrysler (wd:Q29610) | owned by (wdt:P127) | Stellantis North America (wd:Q181114) |

[Assistant]
The Chrysler brand (wd:Q29610) is owned by Stellantis North America (wd:Q181114), but this does not provide ownership information for 2011.

I will now check the history of Chrysler Corporation (wd:Q181114) by looking for its predecessor or successor companies to find the owner in 2011. I will search for properties related to predecessor or successor for the entity wd:Q181114.

[Tool]
Top 10 property alternatives:
1. replaces, also known as supersedes, succeeds, replaced, previous job holder, preceded by (wd:P1365 as p/wdt): person, state or item replaced. Use "structure replaces" (P1398)...item was not replaced or predecessor and successor are identical, follows
2. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as p/wdt): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
3. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as p/wdt): owner of the subject
4. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as p/wdt): person who manages any kind of group, significant person
5. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as p/wdt): founder or co-founder of this organization, religion, place or entity, creator
6. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
7. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as p/wdt): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
10. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as p/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of

No other items found

[Assistant]
The property "replaces" (wdt:P1365) is related to predecessor or successor.

I will check if Chrysler Corporation (wd:Q181114) replaces or is replaced by another entity.

[Tool]
Got 3 rows and 3 columns:
| subject                               | property             | object                                       |
| ------------------------------------- | -------------------- | -------------------------------------------- |
| Stellantis North America (wd:Q181114) | replaces (wdt:P1365) | Dodge (wd:Q27564)                            |
| Stellantis North America (wd:Q181114) | replaces (wdt:P1365) | Maxwell Motor Company (wd:Q1476861)          |
| Stellantis North America (wd:Q181114) | replaces (wdt:P1365) | National Motor Vehicle Company (wd:Q1967466) |

[Assistant]
Stellantis North America (wd:Q181114) replaces Dodge (wd:Q27564), Maxwell Motor Company (wd:Q1476861), and National Motor Vehicle Company (wd:Q1967466).

I will check the ownership of Dodge (wd:Q27564) to see if it was the owner or related to Chrysler Corporation in 2011.

[Tool]
Got 2 rows and 3 columns:
| subject           | property            | object                                |
| ----------------- | ------------------- | ------------------------------------- |
| Dodge (wd:Q27564) | owned by (wdt:P127) | Stellantis North America (wd:Q181114) |
| Dodge (wd:Q27564) | owned by (wdt:P127) | Stellantis (wd:Q97439162)             |

[Assistant]
Dodge (wd:Q27564) is owned by Stellantis North America (wd:Q181114) and Stellantis (wd:Q97439162), which does not provide ownership information for 2011.

I will now try a different approach and search for the owner of Chrysler Corporation in 2011 by querying ownership statements with time qualifiers that include 2011. I will write a SPARQL query to find owners of Chrysler Corporation (wd:Q181114) with a time qualifier that covers 2011.

[Tool] Got no rows and 4 columns

[Assistant]
There are no ownership statements for Chrysler Corporation (wd:Q181114) that cover the year 2011 in Wikidata.

I will now check the owner of Chrysler Corporation before it became Stellantis by looking at the entity "Chrysler Group LLC" which was the name of the company before 2014. I will search for "Chrysler Group LLC" to find its entity.

[Tool]
Top 10 entity alternatives:
1. Stellantis North America, also known as Chrysler Corporation, Chrysler LLC, FCA US (wd:Q181114): American automotive manufacturer
2. Jefferies & Company, also known as Jefferies Group, Jefferies Group LLC, Jefferies LLC (wd:Q325789): company
3. OSI Group, also known as OSI, OSI Group, LLC, OSI Industries, OSI Industries, LLC. (wd:Q2008123): American company of meat processors
4. The Kraft Group, also known as Kraft Group, Kraft Group, LLC (wd:Q7744946): American group of large corporations
5. Apparel Group LLC, also known as APPAREL GROUP, Apparel Group (wd:Q115806042): Fashion and lifestyle industry offering 80 brands across 2,025 and more stores in 14 countries
6. Crumpton Group LLC, also known as Crumpton Group (wd:Q60492734): International research/advisory and business development firm
7. ILO Group, also known as ILO Group, LLC (wd:Q108822279): American education-focused leadership consultancy
8. JETX, also known as JEFFERIES GROUP LLC, JEFX (wd:Q93361416): Dark pool for NMS equities
9. Kaart, also known as Kaart Group, Kaart Group, LLC (wd:Q108353551): American GIS consulting and surveying firm
10. L4 Group LLC, also known as L4 Group, L4 Group Media (wd:Q78339997): Media Agency in Pennsylvania

[Assistant]
There is no separate entity for "Chrysler Group LLC" distinct from Stellantis North America (wd:Q181114) in the search results.

Given the available data, it appears that the ownership information for Chrysler Corporation in 2011 is not explicitly recorded in Wikidata. The current entity Stellantis North America (wd:Q181114) and its predecessor Fiat Chrysler Automobiles (wd:Q15678788) have ownership information starting from 2014 and later.

I will provide this explanation as the answer.

[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 ?occupation ?occupationLabel WHERE {
  wd:Q302 wdt:P106 ?occupation .
  OPTIONAL {
    ?occupation rdfs:label ?occupationLabel FILTER ( LANG( ?occupationLabel ) = "en" )
  }
}

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)           |

Jesus had multiple 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 start by looking at some examples.

[Tool]
Example 1:
Question:
what kind of language do they speak in china?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q148 wdt:P37 ?x .
}

Using entities:
People's Republic of China, also known as Zhōngguó, The PRC, RPC, CHN, Red China (wd:Q148): country in East Asia

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

Example 2:
Question:
who was wale signed to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q458519 wdt:P264 ?x .
}

Using entities:
Wale, also known as Olubowale Akintimehin (wd:Q458519): American rapper, songwriter, rapper, singer

Using properties:
record label, also known as label, labels (wd:P264 as wdt): brand and trademark associated with the marketing of subject music recordings and music videos

Example 3:
Question:
what religion is king henry viii?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q38370 wdt:P140 ?x .
}

Using entities:
Henry VIII of England, also known as Henry VIII, Henry the Eighth, Henry Tudor (wd:Q38370): King of England from 1509 until 1547, composer, monarch

Using properties:
religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt): religion of a person, organization or religious building, or associated with this subject

[Assistant]
The question is "what did Jesus do for living?" which is asking about the occupation or profession of Jesus.

Step 1: Identify the entity "Jesus" in Wikidata.
Step 2: Identify the property that corresponds to "occupation" or "profession."
Step 3: Query the occupation of Jesus.

I will start by searching 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 entity "Jesus" that matches the central figure of Christianity is wd:Q302. Now I will search for properties related to occupation or profession for this entity.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
3. employer, also known as working at, working for, working place, works at, works for (wd:P108 as p/wdt): person or organization for which the subject works or worked, affiliation
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
6. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
7. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
8. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
9. lifestyle, also known as diet, follows lifestyle, has lifestyle, life style (wd:P1576 as p/wdt): typical way of life of an individual, group, or culture
10. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location

No other items found

[Assistant] The property for occupation is wd:P106. Now I will query the occupation of Jesus (wd:Q302) using this property.

[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 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 ?venue ?venueLabel WHERE {
  wd:Q599903 wdt:P115 ?venue .
  OPTIONAL {
    ?venue rdfs:label ?venueLabel FILTER ( LANG( ?venueLabel ) = "en" )
  }
}

Ireland plays rugby union at the Aviva Stadium.

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
what country is located in the balkan peninsula?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q23522 wdt:P17 ?x .
}

Using entities:
Balkans, also known as The Balkans, South Balkan area, Peninsula of Haemus, Balkanoid, Haemus Peninsula (wd:Q23522): geopolitical and cultural region of Southeast Europe

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

Example 2:
Question:
who is the leader of japan?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q17 wdt:P6 ?x .
}

Using entities:
Japan, also known as State of Japan, Nippon-koku, Nippon, Nihon-koku, Nihon (wd:Q17): island country in East Asia

Using properties:
head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson

Example 3:
Question:
what was tupac name in juice?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q642419 p:P161 ?p .
  ?p ps:P161 wd:Q6107 ; pq:P453 ?x .
}

Using entities:
Tupac Shakur, also known as Tupac, Tupac Amaru Shakur, Makaveli, Tupac Omar Shakur, Lesane Crooks (wd:Q6107): American rapper (1971–1996), television actor, songwriter, film actor, lyricist, activist, writer, singer, rapper, actor, poet
Juice (wd:Q642419): 1992 film directed by Ernest Dickerson

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as p/ps): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)

[Assistant]
The question is about where Ireland plays rugby union. This likely refers to the location or stadium where the Ireland national rugby union team plays their home games.

Step 1: Identify the entity "Ireland national rugby union team."
Step 2: Identify the property related to "home venue" or "home stadium" for sports teams.
Step 3: Query the home venue or stadium for the Ireland national rugby union team.

I will start by searching 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 entity "Ireland rugby union team" (wd:Q599903) corresponds to the Ireland national rugby union team.

Next, I will search for properties related to the home venue or stadium for this team. I will search for properties of the entity wd:Q599903 with the query "home venue" or "home stadium."

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): 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 p/wdt): 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. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as p/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
4. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as p/wdt): subject's ordinal position as qualitatively evaluated relative to other members of a group
5. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): 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
6. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as p/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
8. competition won, also known as won event, won, winner of, victory (wd:P2522 as p/wdt): competition or sports event won by the subject, participant in
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time

No other items found

[Assistant]
The property "home venue" (wdt:P115) is the appropriate property for the home stadium or venue of a sports team.

Now I will write a SPARQL query to find the home venue of the Ireland rugby union team (wd:Q599903) using the property wdt:P115.

[Tool]
Got 1 row and 2 columns:
| venue                      | venueLabel         |
| -------------------------- | ------------------ |
| Aviva Stadium (wd:Q244402) | Aviva Stadium (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 ?team ?teamLabel WHERE {
  wd:Q119562 wdt:P54 ?team .
  ?team rdfs:label ?teamLabel .
  FILTER ( LANG( ?teamLabel ) = "en" )
}

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)                                 |

Sergio Agüero played for the following teams: Argentina national under-20 football team, Club Atlético Independiente, Argentina national under-23 football team, Argentina national under-17 football team, Manchester City F.C., FC Barcelona, Argentina men's national association football team, and 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 start by looking at some examples.

[Tool]
Example 1:
Question:
what instruments does john williams use?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q370293 wdt:P1303 ?x .
}

Using entities:
John Williams (wd:Q370293): Australian classical guitarist, classical guitarist, performing artist, music educator, composer

Using properties:
instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as wdt): musical instrument that a person plays or teaches or used in a music occupation, uses

Example 2:
Question:
what shows did kellie martin star in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P161 wd:Q235754 .
  ?x wdt:P31 / wdt:P279 * wd:Q5398426 .
}

Using entities:
Kellie Martin, also known as Kellie Noelle Martin (wd:Q235754): American actress, television actor, film director, voice actor, film actor, actor
television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
who owns skywest?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q773662 wdt:P749 ?x .
}

Using entities:
SkyWest Airlines, also known as United Express (wd:Q773662): American regional airline

Using properties:
parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as wdt): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of

[Assistant]
The examples show how to query for teams or shows a person was part of using properties like "cast member" or "parent organization." For a football player like Aguero, we want to find the teams he played for. The relevant property for a sports team a player played for is often "member of sports team" (wdt:P54).

Next, I will search for the entity "Aguero" to find the correct Wikidata item for the football player Sergio Aguero.

[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 relevant entity for the football player Aguero is "Sergio Agüero" with the Wikidata ID wd:Q119562. Now I will search for the property related to the team he played for. The likely property is "member of sports team" (wdt:P54), but I will confirm this by searching for properties of Sergio Agüero related to "team".

[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 p/wdt): 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 p/wdt): position or specialism of a player on a team
3. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

No other items found

[Assistant] The property "member of sports team" (wdt:P54) is the correct property to find the teams Sergio Agüero played for. Now I will write a SPARQL query to get the teams he played for using this property. I will also include the team labels for better readability.

[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 now is Portuguese.

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
what countries around the world speak french?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P37 wd:Q150 ; wdt:P31 / wdt:P279 * wd:Q6256 .
}

Using entities:
French, also known as (fr), fr, fra, French language (wd:Q150): Romance language
country, also known as countries (wd:Q6256): distinct territorial body or political entity

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

Example 2:
Question:
when was the last time the oakland raiders won the super bowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?y wdt:P31 / wdt:P279 * wd:Q32096 ; wdt:P1346 wd:Q324523 ; wdt:P585 ?x .
}
ORDER BY DESC ( ?x )
LIMIT 1

Using entities:
Super Bowl, also known as AFL–NFL World Championship Game (wd:Q32096): National Football League championship game
Las Vegas Raiders, also known as Los Angeles Raiders, Oakland Raiders, Raiders (wd:Q324523): National Football League franchise in Las Vegas, Nevada

Using properties:
winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

Example 3:
Question:
who was vice president under ronald reagan?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x p:P39 ?p .
  ?p ps:P39 wd:Q11699 ; pq:P580 ?y .
  wd:Q9960 p:P39 ?q .
  ?q ps:P39 wd:Q11696 ; pq:P580 ?z .
  FILTER ( ?y = ?z )
}

Using entities:
President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States
Ronald Reagan, also known as Ronald W Reagan, Ronald W. Reagan, R. W. Reagan, President Reagan, President Ronald Reagan (wd:Q9960): president of the United States from 1981 to 1989 and actor, television actor, military officer, character actor, game show host, autobiographer, anti-communist, trade unionist, art collector, statesperson, screenwriter, voice actor, film actor, politician, announcer, lifeguard, diarist, actor

Using properties:
position held, also known as function, held position, holds position, job, office held (wd:P39 as p/ps): subject currently or formerly holds the object position or public office
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq): time an entity begins to exist or a statement starts being valid, point in time

[Assistant] From the examples, I see that the property for "official language" is wdt:P37. Now I will search for the entity "Brazil" to get its Wikidata identifier.

[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 entity for the country Brazil is wd:Q155. Now I will write a SPARQL query to get the official language(s) of Brazil using the property wdt:P37.

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

[Tool] Stopped generation process