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: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 Standard Chinese, which is the official language of the People's Republic of China.

[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]
To answer the question "What language do Chinese people write in?" we need to identify the language(s) primarily used by Chinese people for writing. The question likely refers to the official or most commonly used written language in China.

Step 1: Identify the entity "Chinese people" or "China" in Wikidata.
Step 2: Identify the property related to the language spoken or written by this entity.
Step 3: Query the language(s) associated with Chinese people or China.

I will start by searching for the entity "Chinese people" in Wikidata.

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

[Assistant] The entity "Chinese people" corresponds to wd:Q6501380 in Wikidata. Now, I will search for properties related to language for this entity to find the language(s) Chinese people write in.

[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] The search for properties related to "language" for the entity "Chinese people" did not return a direct property for language spoken or written. I will try searching for the entity "China" instead, as the official language of China is likely the language Chinese people write in. Then I will look for the official language property of China.

[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 "People's Republic of China" corresponds to wd:Q148 in Wikidata. Now, I will search for properties related to the official language of China.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
3. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
4. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as p/wdt): official name of the subject in its official language(s), name
5. basic form of government, also known as form of government, government, type of government (wd:P122 as p/wdt): subject's government
6. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as p/wdt): seat of government of a country, province, state or other type of administrative territorial entity
7. main regulatory text, also known as regulated by, statutory authorization, statutory authority, legally established by, legal basis (wd:P92 as p/wdt): text setting the main rules by which the subject is regulated
8. 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
9. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as p/wdt): political office that is fulfilled by the head of the government of this item
10. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as p/wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson

No other items found

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

[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). The most relevant and specific language for writing by Chinese people is "Standard Chinese," which is the standardized form of the Chinese language used for writing.

I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official languages of China, which includes Standard Chinese and Chinese. The answer correctly states that Chinese people write in Standard Chinese, the official language of the People's Republic of China. The query and answer are appropriate and complete for the question asked.


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?owner ?ownerLabel WHERE {
  wd:Q181114 p:P127 ?ownershipStatement .
  ?ownershipStatement ps:P127 ?owner .
  OPTIONAL {
    ?ownershipStatement pq:P580 ?startTime .
  }
  OPTIONAL {
    ?ownershipStatement pq:P582 ?endTime .
  }
  FILTER ( ( ! BOUND( ?startTime ) || ?startTime <= "2011-12-31" ^^ xsd:dateTime ) && ( ! BOUND( ?endTime ) || ?endTime >= "2011-01-01" ^^ xsd:dateTime ) ) OPTIONAL {
    ?owner rdfs:label ?ownerLabel FILTER ( LANG( ?ownerLabel ) = "en" )
  }
}
LIMIT 1

The SPARQL query checks for ownership of Chrysler Corporation during the year 2011 by looking for ownership statements with qualifiers indicating the time period covering 2011. The query returns no results, indicating that ownership data for Chrysler Corporation in 2011 is not available in Wikidata. Therefore, the owner of Chrysler Corporation in 2011 is not found in the data.

[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]
To answer the question "Who owns Chrysler Corporation in 2011?", I need to identify the entity representing Chrysler Corporation and find the owner or owning entity for the year 2011.

Step 1: Search for the entity "Chrysler Corporation" in Wikidata.

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

[Assistant]
The entity "Stellantis North America" (wd:Q181114) is also known as Chrysler Corporation, Chrysler LLC, FCA US, and it is an American automotive manufacturer. This seems to be the relevant entity for Chrysler Corporation.

Step 2: Now I will search for the property related to ownership or owner of this entity around the year 2011. I will search for properties related to "owner" or "ownership" for the entity wd:Q181114.

[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 relevant property for ownership.

Step 3: I will now construct a SPARQL query to find the owner of Chrysler Corporation (wd:Q181114) in the year 2011. I will check if there is a qualifier or statement for the year 2011 related to ownership.

[Tool] Got no rows and 4 columns

[Assistant]
The query returned no results with the ownership property qualified by start and end times for the year 2011. It is possible that the ownership information is not directly qualified by dates or is represented differently.

Step 4: I will try a simpler query to just get the current or known owners of Chrysler Corporation (wd:Q181114) without date constraints to see if any ownership information is available.

[Tool]
Got 1 row and 2 columns:
| owner                     | ownerLabel      |
| ------------------------- | --------------- |
| Stellantis (wd:Q97439162) | Stellantis (en) |

[Assistant]
The current owner of Chrysler Corporation (wd:Q181114) is Stellantis (wd:Q97439162).

Step 5: To confirm if Stellantis was the owner in 2011, I will check the inception date of Stellantis to see if it existed in 2011 or if there was a different owner at that time.

[Tool]
Got 1 row and 1 column:
| inceptionDate                       |
| ----------------------------------- |
| 2021-01-16T00:00:00Z (xsd:dateTime) |

[Assistant]
Stellantis was founded in 2021, so it could not have been the owner of Chrysler Corporation in 2011.

Step 6: I will now search for the owner of Chrysler Corporation (wd:Q181114) around the year 2011 by looking for statements with qualifiers or references that might indicate the owner at that time. I will try to find any statements about ownership or parent organization with time qualifiers.

[Tool]
Got 1 row and 4 columns:
| owner                     | ownerLabel      | startTime                           | endTime |
| ------------------------- | --------------- | ----------------------------------- | ------- |
| Stellantis (wd:Q97439162) | Stellantis (en) | 2021-01-16T00:00:00Z (xsd:dateTime) |         |

[Assistant]
The only ownership statement found is for Stellantis starting in 2021, no other ownership statements with different time qualifiers were found.

Step 7: I will now check if there is a parent organization (wdt:P749) for Chrysler Corporation (wd:Q181114) that might indicate the owner in 2011.

[Tool]
Got 1 row and 2 columns:
| parentOrg                 | parentOrgLabel  |
| ------------------------- | --------------- |
| Stellantis (wd:Q97439162) | Stellantis (en) |

[Assistant]
The parent organization of Chrysler Corporation is also Stellantis, which was founded in 2021.

Step 8: Since Stellantis was founded in 2021, I will now search for the owner or parent organization of Chrysler Corporation before 2021. I will search for entities that owned or were parent organizations of Chrysler Corporation with a time qualifier before 2021.

I will try to find any historical ownership information for Chrysler Corporation. I will search for entities that owned Chrysler Corporation (wd:Q181114) or were parent organizations with a qualifier indicating a time before 2021.

[Tool] Got no rows and 4 columns

[Assistant]
No ownership statements with time qualifiers before 2021 were found for Chrysler Corporation.

Step 9: I will try to find the owner of Chrysler Corporation by searching for the entity "Chrysler" to see if there is a separate entity representing Chrysler Corporation in 2011 or earlier. Then I will check its ownership.

[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. This might be relevant for ownership around 2011.

Step 10: I will check the inception date of Fiat Chrysler Automobiles (wd:Q15678788) to confirm if it existed in 2011.

[Tool]
Got 1 row and 1 column:
| inceptionDate                       |
| ----------------------------------- |
| 2014-10-12T00:00:00Z (xsd:dateTime) |

[Assistant]
Fiat Chrysler Automobiles was founded in 2014, so it did not exist in 2011.

Step 11: I will now check the owner or parent organization of Chrysler Corporation (wd:Q181114) without time constraints to see if there is any other owner listed besides Stellantis. I will also check if there is any historical ownership information in the statements.

[Tool]
Got 1 row and 2 columns:
| owner                     | ownerLabel      |
| ------------------------- | --------------- |
| Stellantis (wd:Q97439162) | Stellantis (en) |

[Assistant]
The only current owner listed for Chrysler Corporation is Stellantis, which was founded in 2021.

Step 12: I will now check the ownership history of Chrysler Corporation by looking for statements with the property "owned by" (P127) and any qualifiers or references that might indicate the owner in 2011 or before. I will look for any historical owners.

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

[Assistant]
There is only one ownership statement for Chrysler Corporation, which is owned by Stellantis.

Step 13: I will now check if there is any information about the owner of Chrysler Corporation in 2011 in the references or qualifiers of the ownership statement. I will look for qualifiers or references on the statement that links Chrysler Corporation to Stellantis.

[Tool] Constraint "s:Q181114$" for subject position is not a valid IRI. IRIs can be given in prefixed form, like "wd:Q937", as URIs, like "http://www.wikidata.org/entity/Q937", or in full form, like "<http://www.wikidata.org/entity/Q937>".

[Assistant] I made an error in the last step by using an invalid IRI for the statement. I will try to find the statement ID for the ownership statement of Chrysler Corporation (wd:Q181114) owned by Stellantis (wd:Q97439162) and then check its qualifiers and references.

[Tool]
Got 1 row and 1 column:
| statement                                      |
| ---------------------------------------------- |
| s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae |

[Assistant]
I found the statement ID for the ownership of Chrysler Corporation by Stellantis: s:Q181114-204b06bd-49ca-04a7-b398-f5652b02baae.

Step 14: I will now check the qualifiers and references for this statement to see if there is any information about the ownership period or historical owner in 2011.

[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 statement shows that Stellantis became the owner starting from 2021-01-16. There is no information about the owner in 2011 in this statement.

Step 15: Since Stellantis was founded in 2021 and Fiat Chrysler Automobiles was founded in 2014, I will check who owned Chrysler Corporation before 2014. I will search for the parent organization or owner of Chrysler Corporation before 2014.

I will search for the parent organization of Chrysler Corporation (wd:Q181114) with qualifiers or references indicating a time before 2014.

[Tool] Got no rows and 4 columns

[Assistant]
No parent organization statements with time qualifiers between 2011 and 2014 were found for Chrysler Corporation.

Step 16: I will now try to find the owner or parent organization of Chrysler Corporation without time constraints but including historical data by checking the statements for parent organization (P749) and ownership (P127) to see if there are any historical owners or parent organizations listed.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 313 for token UNION with content 'UNION' (the input most likely does not follow the grammar)

[Assistant]
The SPARQL query failed due to syntax error with UNION. I will split the query into two separate queries to check parent organization and ownership statements separately.

Step 17: First, I will query all parent organization statements for Chrysler Corporation with their time qualifiers.

[Tool]
Got 1 row and 4 columns:
| org                       | orgLabel        | startTime                           | endTime |
| ------------------------- | --------------- | ----------------------------------- | ------- |
| Stellantis (wd:Q97439162) | Stellantis (en) | 2021-01-01T00:00:00Z (xsd:dateTime) |         |

[Assistant]
The only parent organization statement is for Stellantis starting in 2021.

Step 18: Now I will query all ownership statements for Chrysler Corporation with their time qualifiers.

[Tool]
Got 1 row and 4 columns:
| org                       | orgLabel        | startTime                           | endTime |
| ------------------------- | --------------- | ----------------------------------- | ------- |
| Stellantis (wd:Q97439162) | Stellantis (en) | 2021-01-16T00:00:00Z (xsd:dateTime) |         |

[Assistant]
The only ownership statement is for Stellantis starting in 2021.

Step 19: Since there is no direct ownership or parent organization information for Chrysler Corporation in 2011 in the current entity (wd:Q181114), I will check the entity Fiat Chrysler Automobiles (wd:Q15678788) which existed from 2014 to 2021 and might have historical data about Chrysler before 2014.

I will check the parent organization or owner of Fiat Chrysler Automobiles (wd:Q15678788) to see if it was owned by another entity in 2011.

[Tool]
Got 4 rows and 2 columns:
| owner                           | ownerLabel              |
| ------------------------------- | ----------------------- |
| Exor (wd:Q1384140)              | Exor (en)               |
| UBS (wd:Q193199)                | UBS (en)                |
| Tiger Management (wd:Q7801440)  | Tiger Management (en)   |
| The Vanguard Group (wd:Q849363) | The Vanguard Group (en) |

[Assistant]
Fiat Chrysler Automobiles was owned by multiple entities including Exor, UBS, Tiger Management, and The Vanguard Group.

Step 20: I will check the inception date of Chrysler Corporation (wd:Q181114) to see if it existed in 2011 or if it was under a different entity name.

[Tool]
Got 1 row and 1 column:
| inceptionDate                       |
| ----------------------------------- |
| 1925-06-06T00:00:00Z (xsd:dateTime) |

[Assistant]
Chrysler Corporation was founded in 1925, so it existed in 2011.

Step 21: I will check if there is any information about the owner or parent organization of Chrysler Corporation (wd:Q181114) in 2011 by looking for any statements or qualifiers mentioning the year 2011 or a time range including 2011. I will search for any statements with qualifiers related to time for ownership or parent organization.

[Tool] Got no rows and 4 columns

[Assistant]
There are no statements for ownership or parent organization of Chrysler Corporation with qualifiers indicating ownership in 2011.

Step 22: I will now check the ownership history of Chrysler Corporation by looking for entities that owned Chrysler Corporation or were parent organizations without time constraints but including historical data. I will look for any entities linked to Chrysler Corporation with properties "owned by" (P127) or "parent organization" (P749) and check if they have inception or end dates that cover 2011.

[Tool]
Got 2 rows and 4 columns:
| org                       | orgLabel        | inception                           | end |
| ------------------------- | --------------- | ----------------------------------- | --- |
| Stellantis (wd:Q97439162) | Stellantis (en) | 2021-01-16T00:00:00Z (xsd:dateTime) |     |
| Stellantis (wd:Q97439162) | Stellantis (en) | 2021-01-16T00:00:00Z (xsd:dateTime) |     |

[Assistant]
The only owner or parent organization listed is Stellantis, founded in 2021.

Step 23: Since the direct ownership information for Chrysler Corporation in 2011 is not available, I will check the ownership history of the Chrysler brand (wd:Q29610) which might have more detailed historical ownership data.

I will check the owner or parent organization of the Chrysler brand (wd:Q29610) around 2011.

[Tool] Got no rows and 4 columns

[Assistant]
There is no ownership information for the Chrysler brand (wd:Q29610) specifically qualified for the year 2011.

Step 24: I will now check the parent organization of the Chrysler brand (wd:Q29610) without time constraints to see if there is any ownership information.

[Tool] Got no rows and 2 columns

[Assistant]
There is no parent organization listed for the Chrysler brand (wd:Q29610).

Step 25: I will now check the entity Fiat Chrysler Automobiles (wd:Q15678788) again to see if it has any ownership or parent organization statements with time qualifiers that cover 2011, as it might have been the owner or parent organization of Chrysler Corporation at that time.

[Tool]
Got 4 rows and 4 columns:
| org                             | orgLabel                | startTime | endTime |
| ------------------------------- | ----------------------- | --------- | ------- |
| Exor (wd:Q1384140)              | Exor (en)               |           |         |
| UBS (wd:Q193199)                | UBS (en)                |           |         |
| Tiger Management (wd:Q7801440)  | Tiger Management (en)   |           |         |
| The Vanguard Group (wd:Q849363) | The Vanguard Group (en) |           |         |

[Assistant]
Fiat Chrysler Automobiles was owned by Exor, UBS, Tiger Management, and The Vanguard Group, but there are no time qualifiers indicating ownership specifically in 2011.

Step 26: I will check the ownership or parent organization of Chrysler Corporation (wd:Q181114) in 2011 by looking for any entities that had ownership or parent organization roles without time qualifiers but might have inception or end dates covering 2011. I will check the inception and end dates of these owners or parent organizations.

[Tool]
Got 2 rows and 4 columns:
| org                       | orgLabel        | inception                           | end |
| ------------------------- | --------------- | ----------------------------------- | --- |
| Stellantis (wd:Q97439162) | Stellantis (en) | 2021-01-16T00:00:00Z (xsd:dateTime) |     |
| Stellantis (wd:Q97439162) | Stellantis (en) | 2021-01-16T00:00:00Z (xsd:dateTime) |     |

[Assistant]
The only owner or parent organization listed for Chrysler Corporation is Stellantis, founded in 2021.

Step 27: Since the direct ownership information for Chrysler Corporation in 2011 is not available in the current entities, I will provide the known information: Chrysler Corporation existed in 2011, but the current owner Stellantis was founded in 2021. Fiat Chrysler Automobiles, which existed from 2014 to 2021, was owned by multiple entities but was not yet founded in 2011.

I will finalize the answer stating that the ownership of Chrysler Corporation in 2011 is not explicitly available in Wikidata, but it was not owned by Stellantis or Fiat Chrysler Automobiles at that time. The ownership information for 2011 is not found in the data.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies that the current owner is Stellantis, but it does not address the ownership status specifically for the year 2011 as asked. The SPARQL query retrieves the current owner (wdt:P127) of Chrysler Corporation (wd:Q181114) without any time constraint, which leads to the current owner Stellantis being returned. However, the question explicitly asks for the owner in 2011, so the query should be refined to consider the ownership during that specific year, possibly by checking qualifiers or historical ownership data if available. Since the ownership in 2011 is not directly available, the system should explicitly state that the data for 2011 ownership is not found rather than returning the current owner. Therefore, the SPARQL query and answer should be refined to better reflect the temporal aspect of the question.

[Assistant]
Thank you for the feedback. I understand that the query should explicitly check for ownership during the year 2011 and not just return the current owner. Since the ownership information for 2011 is not directly available, the query should confirm the absence of such data and the answer should clearly state that the ownership in 2011 is not found in Wikidata.

I will refine the SPARQL query to check for ownership statements with qualifiers indicating ownership during 2011 and if none are found, explicitly return a statement indicating no data for 2011 ownership.

Refined approach:
- Query ownership statements for Chrysler Corporation with qualifiers for start and end time covering 2011.
- If no such statements exist, return a message that ownership data for 2011 is not found.

I will now construct the refined SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is well-constructed to find the owner of Chrysler Corporation in 2011 by checking ownership statements with qualifiers for start and end times covering the year 2011. The query correctly returns no results, indicating that the ownership data for Chrysler Corporation in 2011 is not available in Wikidata. The answer clearly explains this outcome. No further refinement is necessary.


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 carpenter, rabbi, thaumaturge, religious leader, teacher, prophet, preacher, and Messiah. Among these, carpenter is often considered his profession or what he did for a living.

[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]
To answer the question "What did Jesus do for a living?", I need to find the occupation or profession of Jesus in Wikidata.

Step 1: Search for the entity "Jesus" in Wikidata to identify the correct entity representing Jesus.

[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 is the central figure of Christianity is wd:Q302. This entity has descriptions including religious leader, carpenter, preacher, Messiah, teacher, prophet, pastor, healer, tektōn, rabbi.

Step 2: Now I will look for the occupation or profession (property) of this entity to find what Jesus did for a living. I will search for properties related to occupation or profession for the entity wd:Q302.

[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 "occupation" (wdt:P106) is the most relevant to find what Jesus did for a living.

Step 3: I will now query the occupation(s) of Jesus (wd:Q302) using the property occupation (wdt:P106).

[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

[User]
Feedback (status=done):
The answer correctly identifies multiple occupations of Jesus as retrieved from Wikidata, including carpenter, rabbi, thaumaturge, religious leader, teacher, prophet, preacher, and Messiah. The SPARQL query is appropriate, retrieving all occupations (P106) of Jesus (Q302) along with their English labels. The explanation that carpenter is often considered his profession or what he did for a living is accurate and aligns with common knowledge. The query and answer follow the rules, returning identifiers and labels without unnecessary services or early stopping. Overall, the output is correct and complete.


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]
The question is asking about the location where Ireland plays rugby union. This likely refers to the home stadium or venue where the Ireland national rugby union team hosts their matches.

Step 1: Identify the entity "Ireland national rugby union team."
Step 2: Identify the property that relates a sports team to their home venue or stadium.
Step 3: Query the knowledge graph for the home venue of 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 representing the island of Ireland. This is the entity we are interested in.

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 a query related to "home stadium" or "home venue."

[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. 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
5. 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
6. 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
7. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
8. 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
9. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as p/wdt): informal name (for a pseudonym use P742), name
10. 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 to find the home stadium or venue of a sports team.

Now I will construct a SPARQL query to find the home venue of the Ireland national rugby union team (wd:Q599903) using the property wdt:P115. I will also include the label of the venue for better readability.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the home venue of the Ireland national rugby union team using the property wdt:P115. The answer 'Aviva Stadium' is accurate and matches the query result. The query also includes the English label for better readability. The output follows the rules and provides a complete and correct answer to the user's question.


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 .
  OPTIONAL {
    ?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] Step 1: Identify the entity "Aguero" in the knowledge graph. This likely refers to the football player Sergio Agüero. I will search for the entity "Aguero" to find the correct Wikidata entity.

[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] Step 2: The most relevant entity for the question "what team did Aguero play for?" is Sergio Agüero (wd:Q119562), the Argentine association football player. Next, I will search for properties related to the teams he played for. This is likely related to the property "member of sports team" or similar. I will search for properties of the entity wd:Q119562 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] Step 3: The property "member of sports team" (wdt:P54) is the relevant property for the teams Sergio Agüero played for. I will now construct a SPARQL query to retrieve the teams he played for using this property.

[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

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all the teams that Sergio Agüero has played for by using the property 'member of sports team' (wdt:P54). The answer lists all relevant teams including clubs and national teams. The query also includes English labels for readability, which is helpful. The result is complete and accurate with no irrelevant items. Therefore, the output is correct and complete as is.


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] To answer the question about the official language of Brazil, I will first identify the entity for Brazil in Wikidata. Then, I will look for the property that indicates the official language of a country. Finally, I will query the official language(s) of Brazil.

[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 Brazil as a country is wd:Q155. Next, I will search for the property that indicates the official language of a country.

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

[Assistant] The property for official language is wd:P37. Now I will query the official language(s) of Brazil (wd:Q155) using this property.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official language of Brazil (wd:Q155) using the property official language (wdt:P37). The query also optionally retrieves the English label of the language, which is Portuguese (wd:Q5146). The answer provided is accurate and complete, stating that the official language of Brazil now is Portuguese. No further refinement is necessary.


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

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

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

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

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

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

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

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

[Assistant]
To answer the question about the zip code for Morgantown, WV, I need to identify the entity for Morgantown in West Virginia and then find the property related to postal codes or zip codes for that entity.

Step 1: Search for the entity "Morgantown, West Virginia" in Wikidata.

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

[Assistant] The entity for Morgantown, West Virginia is wd:Q653636. Next, I will look for the property related to postal codes or zip codes for this entity. I will search for properties of Morgantown (wd:Q653636) related to postal codes or zip codes.

[Tool]
Top 10 property alternatives:
1. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as p/wdt): identifier assigned by postal authorities for the subject area or building
2. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as p/wdt): identifier dedicated to subject city by the area communication network
3. UN/LOCODE, also known as LOCCODE, LOCODE, UNECE location code, UNECE LOCODE, United Nations location code (wd:P1937 as p/wdt): geographic location code maintained by UNECE
4. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
5. FIPS 55-3 (locations in the US), also known as fips code for US locations, Federal Information Processing Standard 55-3, FIPS 55-3 (wd:P774 as p/wdt): identifier for places in the United States per former Federal Information Processing Standard FIPS 55-3
6. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as p/wdt): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
7. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
8. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
9. 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
10. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as p/wdt/wdtn): identifier in the GeoNames geographical database

No other items found

[Assistant] The property for postal code is wd:P281. Now I will query the postal code (zip code) for Morgantown, West Virginia (wd:Q653636) using this property.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the postal codes for Morgantown, West Virginia (wd:Q653636) using the postal code property (wdt:P281). The answer includes all relevant postal codes found in the knowledge graph, and the query returns the identifiers as required. The output is accurate and complete for the user's question.