Failed to generate SPARQL query

[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 does gm make?

[Assistant]
Let's break down the question:

1. "gm" likely refers to General Motors, a major automobile manufacturer.
2. The question asks what GM "makes"—so we need to find the products or items manufactured or produced by General Motors.

First, I will search for the entity "gm" in Wikidata to confirm the correct entity for General Motors.

[Tool] No entity items found

[Assistant] The search for "gm" did not return any results. This could be because "gm" is an abbreviation. I will try searching for "General Motors" instead to find the correct entity.

[Tool]
Top 10 entity alternatives:
1. General Motors, also known as GM, General Motors Corporation (wd:Q81965): automotive manufacturing corporation based in Detroit, Michigan, USA, American automotive manufacturing corporation
2. General Motors railway station, also known as General Motors station, General Motors (wd:Q5532064): closed railway station in Dandenong South, Victoria, Australia
3. General Motors (wd:Q16891615): former Rochester Industrial and Rapid Transit Railway station and streetcar carhouse in Rochester, New York
4. General Motors (wd:Q84480751): scientific article published on 01 November 1983
5. General Motors, also known as General Motors (Poland) (wd:Q30338742): Polish subsidary of General Motors
6. General motors (wd:Q84481962): scientific article published on 01 February 1983
7. Grumman TBF Avenger, also known as TBM Avenger, TBM, Grumman Torpedo Bomber Design 1, Grumman TBM, Grumman Tarpon (wd:Q734103): 1941 torpedo bomber aircraft model by Grumman
8. Rogers Arena, also known as GM Place, General Motors Place (wd:Q517318): sports arena in Vancouver, British Columbia, Canada
9. GM Korea, also known as General Motors Korea, GM Daewoo, 한국GM (wd:Q497193): South Korean subsidiary of General Motors
10. General Motors EV1, also known as EV1 (wd:Q152013): electric compact car model

[Assistant]
The top result, wd:Q81965, is "General Motors," the automotive manufacturing corporation based in Detroit, Michigan, USA. This matches the intended entity for "gm."

Next, I need to determine what General Motors "makes." This likely involves finding products, manufactured goods, or brands associated with General Motors. I will search for relevant properties such as "product," "manufactures," or "produces" for the entity wd:Q81965.

[Tool]
Top 10 property alternatives:
1. 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
2. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as p/wdt): official URL where the agent sells products/merchandise, official website
3. 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
4. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
5. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as p/wdt): income gained by an organization during a given time frame. Not to be confused with fiscal revenue
6. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
7. 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
8. 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)
9. 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
10. 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)

No other items found

[Assistant] The property "product, material, or service produced or provided" (wdt:P1056) is the most relevant for finding what General Motors makes. I will now query for the products (wdt:P1056) associated with General Motors (wd:Q81965).

[Tool]
Got 1 row and 1 column:
| ?product             |
| -------------------- |
| motor car (wd:Q1420) |

[Tool]
Got 1 row and 2 columns:
| ?product             | ?productLabel |
| -------------------- | ------------- |
| motor car (wd:Q1420) | motor car     |

[Assistant]
The SPARQL query shows that General Motors (GM) makes "motor cars" (wd:Q1420). This is a general category, and the knowledge graph does not list specific models or brands directly under the "product" property for GM.

Here is the SPARQL query and the answer:

- General Motors makes: motor cars (wd:Q1420).

SPARQL query:
SELECT ?product ?productLabel WHERE { wd:Q81965 wdt:P1056 ?product . OPTIONAL { ?product rdfs:label ?productLabel FILTER (lang(?productLabel) = "en") } }

Answer: General Motors makes motor cars.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?city ?population ?cityLabel WHERE {
  ?city wdt:P31 wd:Q515 .
  ?city wdt:P17 wd:Q29 .
  ?city wdt:P1082 ?population .
  OPTIONAL {
    ?city rdfs:label ?cityLabel FILTER ( LANG( ?cityLabel ) = "en" )
  }
}
ORDER BY DESC ( ?population )
LIMIT 1

The largest city in Spain by population is Madrid (wd:Q2807), with a population of 3,332,035.

[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 the largest city in spain?

[Assistant]
To answer this question, I need to:

1. Identify the entity for Spain.
2. Identify the property for "largest city" (likely based on population).
3. Find all cities in Spain and their populations.
4. Select the city with the highest population.

First, I'll search for the entity "Spain".

[Tool]
Top 10 entity alternatives:
1. Spain, also known as Kingdom of Spain (wd:Q29): country in southwestern Europe with territories in Africa
2. Spain men's national football team, also known as La Furia, The Spanish Fury, The Red One, The Red Fury, The Fury (wd:Q42267): men's national association football team representing Spain
3. Second Spanish Republic, also known as Spain (wd:Q178038): political regime established in Spain between April 14, 1931 and April 1, 1939
4. New Spain, also known as Colonial Central America, Central America under Spain, Viceroyalty of New Spain, Spanish Mexico, Spanish Central America (wd:Q170603): viceroyalty of the Spanish Empire (1535-1821)
5. Spain under the Restoration, also known as Bourbon Restoration, Spain, Second Bourbon Restoration, Restoration, Restoration (Spain) (wd:Q1044536): name given to a period between 1874 (end of First Spanish Republ...econd Spanish Republic), and the state of Spain during that time
6. Kingdom of Spain (1820-1823), also known as Kingdom of Spain, Spain, Trienio Liberal (wd:Q238809): 1820–1823 Spanish political period
7. Spain under Joseph Bonaparte, also known as Kingdom of Spain, Napoleonic Spain, Spain (wd:Q1709185): Napoleonic client state (1808–1813)
8. Sexenio Democrático, also known as Kingdom of Spain, Spain (wd:Q12411956): 1868–1874 period of fu under a provisional government
9. Ominous Decade, also known as Kingdom of Spain, second restoration of absolutism, Spain (wd:Q2378204): period in the history of Spain, corresponding to the second rest...reign of Fernando VII from August 31, 1823 to September 29, 1833
10. Hispanic Monarchy, also known as Spains, Hispanic Crown, Spain, Kingdom of Spains, Crown of Spain (wd:Q766543): (1479-1716) set of territories distributed throughout the world,...monarch and corresponding to the period of the House of Habsburg

[Assistant]
The main entity for Spain is wd:Q29.

Next, I need to identify the property for "largest city." This typically refers to the city with the highest population. I will search for properties related to "population" to find the relevant property.

[Tool]
Top 10 property alternatives:
1. tabular population, also known as population (wd:P4179 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): same as population (P1082); used when there is data for many different points in time
2. population, also known as inhabitants, human population (wd:P1082 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): number of people inhabiting the place; number of people of subject
3. has census, also known as has human population census (wd:P8701 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): general population census of the country or region
4. urban population (wd:P6343 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): number of people living within the territorial entity who live in its urban parts, population
5. birth rate (wd:P8763 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the total number of live births per 1,000 population
6. category populated by, also known as category filled by, category has template, cat populated by, component adding into the category, populated by (wd:P4329 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): software component (template, module, extension, MediaWiki core) populating the category
7. rural population (wd:P6344 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): number of people living within the territorial entity who live in its rural parts, population
8. female population (wd:P1539 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): number of female people inhabiting the place; number of female people of subject, population
9. male population, also known as male inhabitants, number of males (wd:P1540 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): number of male people inhabiting the place; number of male people of subject, population
10. number of households, also known as dwellings, households (wd:P1538 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): total number of households in this place, includes dwellings of all types

[Assistant]
The main property for population is wdt:P1082.

Now, I need to find all cities in Spain. For this, I need to identify the property that links a city to its country (likely "country" or "located in the country") and the entity for "city." I'll first search for the property "country" to find the correct one.

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): continent of which the subject is a part, located in/on physical feature
8. 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/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
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/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

[Assistant]
The property "country" (wdt:P17) is used to indicate the country a city is in.

Now, I need to ensure I only select cities. I'll search for the entity "city" to find its Wikidata identifier.

[Tool]
Top 10 entity alternatives:
1. city, also known as cities (wd:Q515): large human settlement
2. Manchester City F.C., also known as The Sky Blues, City, The Citizens, The Blues, Sky Blues (wd:Q50602): association football club in Manchester, England
3. Leicester City F.C., also known as The Foxes, Leicester Fosse Football Club, Leicester Fosse FC, Leicester Fosse, Leicester City (wd:Q19481): association football club in Leicester, England
4. Swansea City A.F.C., also known as Swansea City Association Football Club, The Swans, The Jacks, Swansea City AFC, Swansea City (wd:Q18659): association football club in Swansea, Wales
5. Stoke City F.C., also known as City, SCFC, Stoke, Stoke City, Stoke City FC (wd:Q18736): association football club in Stoke-on-Trent, England
6. Birmingham City F.C., also known as BCFC, City, Blues, Birmingham City Football Club, Birmingham City (wd:Q19444): association football club in Birmingham, England
7. Norwich City F.C., also known as Norwich City FC, The Canaries, Norwich City Football Club, Norwich City, Norwich (wd:Q18721): association football club in Norwich, England
8. Cardiff City F.C., also known as Cardiff, The Bluebirds, City, CCFC, Cardiff City Football Club (wd:Q18662): association football club in Cardiff, Wales
9. Hull City A.F.C., also known as City, HCAFC, Hull, Hull City, Hull City AFC (wd:Q19477): association football club in Hull, England
10. Coventry City F.C., also known as Coventry City FC, Sky Blues, Coventry City Football Club, Coventry City, Coventry (wd:Q19580): association football club in Coventry, England

[Assistant]
The entity for "city" is wd:Q515.

Now, I will construct a SPARQL query to:
- Select all entities that are instances of "city" (wd:Q515)
- Are located in Spain (wd:Q29) via the property "country" (wdt:P17)
- Retrieve their population (wdt:P1082)
- Return the city with the highest population

I'll also include the label for the city in an OPTIONAL clause for readability.

[Tool]
SPARQL execution failed:
Invalid SPARQL query: Variable ?city is selected but not aggregated. All non-aggregated variables must be part of the GROUP BY clause. Note: The GROUP BY in this query is implicit because an aggregate expression was used in the SELECT clause

[Assistant]
The error is due to the use of SAMPLE(?cityLabel) without a GROUP BY clause. Since I only want the city with the highest population, I don't need aggregation—just sorting and limiting the results.

I'll remove the aggregation and simply select the city, its population, and its label, ordering by population in descending order and limiting to 1.

[Tool]
Got 1 row and 3 columns:
| ?city             | ?population | ?cityLabel |
| ----------------- | ----------- | ---------- |
| Madrid (wd:Q2807) | 3332035     | Madrid     |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?cancer ?cancerLabel WHERE {
  wd:Q40933 wdt:P509 ?cancer .
  OPTIONAL {
    ?cancer rdfs:label ?cancerLabel FILTER ( lang( ?cancerLabel ) = "en" )
  }
}

Eva Perón had cervix uterine cancer.

[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 type of cancer did eva peron have?

[Assistant]
Let's break down the question:

1. The user is asking about the type of cancer that Eva Perón had.
2. We need to identify the entity for Eva Perón and find the property that links her to her cause of death or medical condition, specifically cancer.

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

[Tool]
Top 10 entity alternatives:
1. Eva Perón, also known as Evita Perón, Maria Eva Duarte de Peron, Evita, María Eva Duarte de Perón, Maria Eva Duarte Peron (wd:Q40933): Argentine actress and politician (1919–1952), women's rights activist, trade unionist, stage actor, suffragist, politician, film actor
2. Eva Perón: The True Story, also known as Eva Peron, Eva Perón (wd:Q953441): 1996 film by Juan Carlos Desanzo
3. Fray Luis Beltrán, also known as Eva Perón, Eva Perón tanker, Fray Luis Beltrán tanker (wd:Q113059537): tanker
4. Eva Perón (wd:Q113030601): tanker
5. Hospital Lagomarsino, also known as Eva Perón (wd:Q5902632): hospital in Merlo, Buenos Aires
6. Uruguay, also known as Eva Perón (wd:Q113330807): 1951 passenger ship
7. Eva Perón (wd:Q47512378): painting by Boris Chaliapin
8. Estadio Eva Perón, also known as Estadio Eva Peron (wd:Q5400194): football stadium in Junín, Argentina
9. Puerto Eva Perón (wd:Q972928): ciudad en la provincia de Chaco, Argentina
10. Eva Perón Foundation (wd:Q2004004): former Argentine foundation

[Assistant]
The correct entity for Eva Perón, the Argentine actress and politician, is wd:Q40933.

Next, I need to find the property that would indicate her type of cancer. This could be "cause of death," "medical condition," or something similar. I will search for properties related to "cancer" for Eva Perón.

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
2. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject
3. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as p/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
4. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
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. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as p/wdt): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
7. 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
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. 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
10. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)

No other items found

[Assistant]
The most relevant property here is "cause of death" (wd:P509). To answer the question, I will check what value is given for Eva Perón's cause of death and see if it specifies a type of cancer.

I will now list the triples for Eva Perón (wd:Q40933) with the property "cause of death" (wdt:P509).

[Tool]
Got 1 row and 3 columns:
| subject               | property                  | object                             |
| --------------------- | ------------------------- | ---------------------------------- |
| Eva Perón (wd:Q40933) | cause of death (wdt:P509) | cervix uterine cancer (wd:Q160105) |

[Tool]
Got 1 row and 1 column:
| ?cancer                            |
| ---------------------------------- |
| cervix uterine cancer (wd:Q160105) |

[Tool]
Got 1 row and 2 columns:
| ?cancer                            | ?cancerLabel          |
| ---------------------------------- | --------------------- |
| cervix uterine cancer (wd:Q160105) | cervix uterine cancer |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?place ?placeLabel WHERE {
  {
    ?place wdt:P37 wd:Q34271 .
  } UNION {
    ?place wdt:P2341 wd:Q34271 .
  } UNION {
    ?place wdt:P2936 wd:Q34271 .
  }
  ?place wdt:P31 ?type .
  FILTER ( ?type IN ( wd:Q6256 , wd:Q82794 , wd:Q35657 , wd:Q515 , wd:Q1048835 ) ) OPTIONAL {
    ?place rdfs:label ?placeLabel FILTER ( lang( ?placeLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| ?place                               | ?placeLabel                |
| ------------------------------------ | -------------------------- |
| People's Republic of China (wd:Q148) | People's Republic of China |
| India (wd:Q668)                      | India                      |
| Nepal (wd:Q837)                      | Nepal                      |

Tibetan is spoken in countries and regions such as India, Nepal, Arunachal Pradesh, Assam, and Himachal Pradesh. The query provides the IRIs of these places.

[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 they speak tibetan?

[Assistant]
Let's break down the question:

1. The user wants to know the places (countries, regions, etc.) where the Tibetan language is spoken.
2. First, I need to identify the entity for "Tibetan language" in Wikidata.
3. Then, I need to find the property that links a language to the places/regions/countries where it is spoken.

I'll start by searching for the entity "Tibetan language" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Tibetan, also known as bo, bod, Lhasa Tibetan, Standard Tibetan, Tibetan language (wd:Q34271): Tibeto-Burman language
2. Tibetan (language) (wd:L612746-S1)
3. Tibetan language (wd:L1020969-S1)
4. Tibetic, also known as Tibetan languages, Tibetic languages (wd:Q1641150): group of Bodic languages spoken by Tibetans in the Eastern Tibetan Plateau and in northern areas of the Indian subcontinent
5. Central Tibetan, also known as Dbus, Ü-Tsang, Central Tibetan language, Ü (wd:Q5061915): language and dialects ensemble from Central Tibet
6. Central Tibetan, also known as Ü-Tsang, Ü, Dbus, Central Tibetan language (wd:Q5061915): language and dialects ensemble from Central Tibet
7. Khams Tibetan, also known as Khams Tibetan language, khg (wd:Q56601): language
8. Amdo Tibetan, also known as adx, Amdo Tibetan language (wd:Q56509): Tibetic language of Amdo
9. Tibetan Sign Language (wd:Q15936110): deaf sign language of Tibet
10. Humla, also known as Humla Bhotiya, Humla language, Humla Tibetan, Humla Tibetan language, Humli Tamang (wd:Q17588918): Sino-Tibetan language

[Assistant]
The main entity for "Tibetan language" is wd:Q34271. Now, I need to find the property that links a language to the places or regions where it is spoken. Common properties for this are "spoken in", "language spoken in the administrative territorial entity", or similar.

I'll search for properties related to "spoken in" to find the most appropriate one.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): language designated as official by this item, language used
2. spoken by, also known as speaker (wd:P10894 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the person who is speaking in this audio or video file
3. indigenous to, also known as native to, originating from, spoken by (wd:P2341 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): place or ethnic group where a language, art genre, cultural trad...biological species or variety is found (or was originally found)
4. speaker, also known as speech by, spoken by (wd:P823 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): person who is speaker for this event, ceremony, keynote, presentation or in a literary work, participant, spoken by
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. audio recording of the subject's spoken voice, also known as voice recording, audio clip, spoken voice, speaking voice, recording of the subject's spoken voice (wd:P990 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): audio file representing the speaking voice of a person; or of an animated cartoon or other fictitious character, audio
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. expressed in (wd:P5572 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): gene or protein is expressed during a specific condition/cell cycle/process/form, biological phase
10. programmed in, also known as language, programming language, written in (wd:P277 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the programming language(s) in which the software is developed

[Assistant]
The most relevant properties for linking a language to a place where it is spoken are:

- official language (wd:P37): language designated as official by this item, language used
- indigenous to (wd:P2341): place or ethnic group where a language is native or originally found
- language used (wd:P2936): language widely used (spoken or written) in this place or at this event or organisation

To answer "where do they speak Tibetan?", I should look for places (countries, regions, etc.) where Tibetan (wd:Q34271) is either an official language, indigenous, or widely used.

I'll start by checking which places have Tibetan as an official language (wd:P37), are indigenous to Tibetan (wd:P2341), or where Tibetan is a widely used language (wd:P2936). I'll construct a query that combines these properties.

[Tool]
Got 23 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?place                           | ?placeLabel         |
| -------------------------------- | ------------------- |
| CNR Tibetan Radio (wd:Q10874976) | CNR Tibetan Radio   |
| Arunachal Pradesh (wd:Q1162)     | Arunachal Pradesh   |
| Assam (wd:Q1164)                 | Assam               |
| Himachal Pradesh (wd:Q1177)      | Himachal Pradesh    |
| Phagmodrupa dynasty (wd:Q126416) | Phagmodrupa dynasty |
| ...                              | ...                 |
| Radio Free Asia (wd:Q40322)      | Radio Free Asia     |
| India (wd:Q668)                  | India               |
| Qinghai Television (wd:Q7267827) | Qinghai Television  |
| Nepal (wd:Q837)                  | Nepal               |
| Qing dynasty (wd:Q8733)          | Qing dynasty        |

[Assistant]
The query returns a variety of places and entities, including countries (India, Nepal), regions (Arunachal Pradesh, Assam, Himachal Pradesh), and some organizations or historical entities (Phagmodrupa dynasty, Qing dynasty, CNR Tibetan Radio, Radio Free Asia, Qinghai Television).

To focus on geographic places where Tibetan is spoken, you should look at the countries and regions such as:

- India (wd:Q668)
- Nepal (wd:Q837)
- Arunachal Pradesh (wd:Q1162)
- Assam (wd:Q1164)
- Himachal Pradesh (wd:Q1177)

Other results like radio stations or dynasties are less relevant for the question about where Tibetan is spoken today.

Here is the final SPARQL query that returns the IRIs of the places where Tibetan is spoken, along with their English labels (if available):

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?condition WHERE {
  wd:Q1345645 wdt:P1050 ?condition
}

Montel Williams has been diagnosed with multiple sclerosis (wd:Q8277).

[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 kind of disease does montel williams have?

[Assistant]
Let's break down the question:

1. The user is asking about a disease associated with Montel Williams.
2. First, I need to identify the entity for Montel Williams in Wikidata.
3. Then, I need to find properties related to diseases or medical conditions associated with a person.

I'll start by searching for "Montel Williams" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Montel Williams, also known as Montel Brian Anthony Williams (wd:Q1345645): American television host and actor, television presenter, television producer, radio personality, television actor, military officer, journalist, politician, actor
2. The Montel Williams Show (wd:Q2412902): television series
3. Montel Williams MS Foundation (wd:Q30289093): nonprofit organization in New York, United States
4. Williams Racing, also known as Williams, Williams Grand Prix Engineering Limited, Williams F1 (wd:Q171337): European Formula One motor racing team and constructor
5. Williams, also known as Williams, AZ, Williams, Arizona (wd:Q79864): city in Coconino County, Arizona, United States
6. Williams, also known as Williams, CA, Williams, California (wd:Q2685585): city in Colusa County, California, United States
7. Williams, also known as Williams, IA, Williams, Iowa (wd:Q1012283): city in Hamilton County, Iowa, United States
8. Williams, also known as Williams, MN, Williams, Minnesota (wd:Q963315): city in Lake of the Woods County, Minnesota, United States
9. Williams College, also known as Williams (wd:Q49166): liberal arts college in Massachusetts
10. Williams, also known as Williams, SC, Williams, South Carolina (wd:Q2562748): town in Collation County, South Carolina, United States

[Assistant]
The correct entity for Montel Williams is wd:Q1345645.

Next, I need to find which properties are used in Wikidata to indicate diseases or medical conditions associated with a person. Common properties for this are "diagnosed with" or "medical condition".

I'll search for properties related to "disease" for a person.

[Tool]
Top 10 property alternatives:
1. medical condition, also known as disability, suffers from, suffer from, sickness, paralympic disability (wd:P1050 as p/wdt): any state relevant to the health of an organism, including diseases and positive conditions
2. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
3. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
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. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. 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)
7. 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
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
9. 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
10. 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)

No other items found

[Assistant]
The property "medical condition" (wdt:P1050) is the most relevant for indicating diseases or health conditions associated with a person.

Next, I'll check which medical conditions are associated with Montel Williams (wd:Q1345645) using this property.

[Tool]
Got 1 row and 2 columns:
| condition                     | conditionLabel          |
| ----------------------------- | ----------------------- |
| multiple sclerosis (wd:Q8277) | multiple sclerosis (en) |

[Tool] Stopped generation process


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?nbaStart WHERE {
  wd:Q169452 p:P54 ?statement .
  ?statement ps:P54 wd:Q161337 ; pq:P580 ?nbaStart .
}

Shaquille O'Neal came into the NBA in June 1992, when he started playing for the Orlando Magic.

[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] when did shaq come into the nba?

[Assistant]
Let's break down the question:

1. "Shaq" refers to Shaquille O'Neal, so I need to find his Wikidata entity.
2. "Come into the NBA" means his NBA debut or the year he started playing in the NBA. This could be represented by "drafted into the NBA" or "NBA debut" in Wikidata properties.

First, I'll search for "Shaquille O'Neal" in Wikidata to get his entity.

[Tool]
Top 10 entity alternatives:
1. Shaquille O'Neal, also known as Shaquille O’Neal, Shaquille Rashaun O'Neal, Shaq O'Neal, Shaquille Rashaun O’Neal, Shaq (wd:Q169452): American basketball player, real estate entrepreneur, television producer, sports commentator, basketball player, businessperson, film producer, screenwriter, film actor, Thai boxer, podcaster, singer, rapper, actor
2. Shaquille O'Neal (wd:Q125446160): episode of All That (S5 E3)
3. Shaquille Cleare, also known as Shaquille O'Neal Cleare (wd:Q61953486): college basketball player (2013–2017) Maryland; Texas, basketball player
4. Shaquille O'Neal Motors (wd:Q114535400): episode of Fresh Off the Boat (S2 E3)
5. Shaq Belson, also known as Shaquille Belson, Shaquille O'Neal Belson (wd:Q106725566): American American football player, American football player
6. Shaquille Allen, also known as Shaquille O'Neal Allen (wd:Q106725550): American football player
7. Upload with Shaquille O'Neal (wd:Q7898386): American comedy television series
8. Statue of Shaquille O'Neal (wd:Q114363921): sculpture in Los Angeles, California, U.S
9. The Best of Shaquille O'Neal (wd:Q7717219): album by Shaquille O'Neal
10. A Message from Shaquille O'Neal (wd:Q110058550): sketch from Saturday Night Live

[Assistant]
The correct entity for Shaquille O'Neal is wd:Q169452.

Next, I need to find the property that represents "coming into the NBA." This could be "drafted by NBA team," "NBA debut," or "start time" for his NBA career. I'll search for properties related to "NBA" and "debut" for this entity.

[Tool]
Top 10 property alternatives:
1. Basketball Reference NBA player ID, also known as Basketball-Reference.com NBA player ID, BRCNBA (wd:P2685 as p/wdt): identifier for a NBA player on the Basketball Reference website
2. Basketball Reference international player ID, also known as BRCIP, Basketball Reference player ID, Basketball-Reference.com Europe player ID, Basketball-Reference.com international player ID (wd:P4790 as p/wdt): identifier for a basketball player in a non-U.S. league on Basketball-Reference.com
3. NBA.com player ID (wd:P3647 as p/wdt): identifier for a basketball player on the National Basketball Association's website
4. Eurobasket.com player ID, also known as Eurobasket.com ID, eurobasket.com identifier (wd:P3527 as p/wdt): ID for a basketball player at Eurobasket.com
5. FIBA.com player ID (archived), also known as FIBA.com player ID, FIBA ID, FIBA identifier, FIBA player ID (wd:P3542 as p/wdt): identifier for a basketball player at archive.FIBA.com
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. RealGM basketball player ID (wd:P3957 as p/wdt): identifier for a basketball player on the RealGM website
8. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as p/wdt): musical instrument that a person plays or teaches or used in a music occupation, uses
9. 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
10. Sports Reference college basketball player ID, also known as Basketball-Reference.com NCAA player ID, NCAA player Basketball-Reference.com, Sports Reference college basketball player ID, Sports-Reference.com college basketball player ID, SR CBB player ID (wd:P3696 as p/wdt): identifier for a NCAA Division I college basketball player on the Sports-Reference.com college basketball website

No other items found

[Tool]
Top 10 property alternatives:
1. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as p/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
2. 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
3. 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
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. 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)
6. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as p/wdt): alias used by someone (for nickname use P1449), name
7. 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
8. 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
9. record label, also known as label, labels (wd:P264 as p/wdt): brand and trademark associated with the marketing of subject music recordings and music videos
10. 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

No other items found

[Tool]
Top 10 property alternatives:
1. drafted by (wd:P647 as p/wdt): which team the player was drafted by
2. The Draft Review ID, also known as Draft Review identifier, The Draft Review identifier, Draft Review ID (wd:P9514 as p/wdt): identifier for a basketball player in the database of The Draft Review
3. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as p/wdt): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
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. 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)
6. 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)
7. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
8. 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
9. 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
10. 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

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                       | property              | object                     |
| ----------------------------- | --------------------- | -------------------------- |
| Shaquille O'Neal (wd:Q169452) | drafted by (wdt:P647) | Orlando Magic (wd:Q161337) |

[Tool]
Top 10 property alternatives:
1. 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
2. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as p/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
3. discography, also known as discography link, recording catalog (wd:P358 as p/wdt): item for list pages with discography of artist or band, list of works
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. Commons gallery, also known as gallery (wd:P935 as p/wdt): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
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. YouTube channel ID, also known as YouTube account, YouTube channel, YouTube channel identifier, official YouTube channel, youtube.com/channel/ (wd:P2397 as p/wdt): ID of the YouTube channel of a person or organisation (not to be...f the channel) The ID can also be used for music.youtube.com IDs, website username or ID
8. 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
9. 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
10. 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

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                       | property                        | object                              |
| ----------------------------- | ------------------------------- | ----------------------------------- |
| Shaquille O'Neal (wd:Q169452) | work period (start) (wdt:P2031) | 1993-01-01T00:00:00Z (xsd:dateTime) |

[Tool]
Got 7 rows and 3 columns:
| subject                       | property                        | object                                    |
| ----------------------------- | ------------------------------- | ----------------------------------------- |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Los Angeles Lakers (wd:Q121783)           |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Boston Celtics (wd:Q131371)               |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Cleveland Cavaliers (wd:Q162990)          |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Phoenix Suns (wd:Q164177)                 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Orlando Magic (wd:Q161337)                |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Miami Heat (wd:Q169138)                   |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | LSU Tigers men's basketball (wd:Q6460027) |

[Tool]
Got 8 rows and 3 columns:
| subject                       | property                      | object                                         |
| ----------------------------- | ----------------------------- | ---------------------------------------------- |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                                    |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------------- |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | member of sports team (ps:P54)                 | LSU Tigers men's basketball (wd:Q6460027) |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | start time (pq:P580)                           | 1989-01-01T00:00:00Z (xsd:dateTime)       |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | end time (pq:P582)                             | 1992-01-01T00:00:00Z (xsd:dateTime)       |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | position played on team / speciality (pq:P413) | center (wd:Q222052)                       |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | sport number (pq:P1618)                        | 33                                        |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | wikibase:rank                                  | wikibase:NormalRank                       |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | rdf:type                                       | wikibase:BestRank                         |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | start time (pqv:P580)                          | v:9930877c43e09a3dd26a2b4a0d5aa9c8        |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | end time (pqv:P582)                            | v:db46b10f4b1283c7fb7d0caafac6e7c8        |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | rdf:type                                       | wikibase:Statement                        |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                              |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------- |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | member of sports team (ps:P54)                 | Boston Celtics (wd:Q131371)         |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | start time (pq:P580)                           | 2010-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | end time (pq:P582)                             | 2011-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | position played on team / speciality (pq:P413) | center (wd:Q222052)                 |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | sport number (pq:P1618)                        | 36                                  |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | wikibase:rank                                  | wikibase:NormalRank                 |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | rdf:type                                       | wikibase:BestRank                   |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | start time (pqv:P580)                          | v:4f272fae38ee73a331afd0407cdc74b9  |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | end time (pqv:P582)                            | v:19fb1e607fb895edac44d92bd9141272  |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | rdf:type                                       | wikibase:Statement                  |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                              |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------- |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | member of sports team (ps:P54)                 | Cleveland Cavaliers (wd:Q162990)    |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | start time (pq:P580)                           | 2009-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | end time (pq:P582)                             | 2010-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | position played on team / speciality (pq:P413) | center (wd:Q222052)                 |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | sport number (pq:P1618)                        | 33                                  |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | wikibase:rank                                  | wikibase:NormalRank                 |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | rdf:type                                       | wikibase:BestRank                   |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | start time (pqv:P580)                          | v:fc1d2395f6a4679c97b3b7f23f202c19  |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | end time (pqv:P582)                            | v:4f272fae38ee73a331afd0407cdc74b9  |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | rdf:type                                       | wikibase:Statement                  |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                              |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------- |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | member of sports team (ps:P54)                 | Los Angeles Lakers (wd:Q121783)     |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | start time (pq:P580)                           | 1996-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | end time (pq:P582)                             | 2004-07-14T00:00:00Z (xsd:dateTime) |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | position played on team / speciality (pq:P413) | center (wd:Q222052)                 |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | sport number (pq:P1618)                        | 34                                  |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | wikibase:rank                                  | wikibase:NormalRank                 |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | rdf:type                                       | wikibase:BestRank                   |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | start time (pqv:P580)                          | v:d49b98a030ea836c922381a07d3a55a5  |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | end time (pqv:P582)                            | v:b5ff01e96ebedaa0a614a99ae12e187f  |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | rdf:type                                       | wikibase:Statement                  |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                              |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------- |
| s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E | member of sports team (ps:P54)                 | Phoenix Suns (wd:Q164177)           |
| s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E | start time (pq:P580)                           | 2008-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E | end time (pq:P582)                             | 2009-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E | position played on team / speciality (pq:P413) | center (wd:Q222052)                 |
| s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E | sport number (pq:P1618)                        | 32                                  |
| s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E | wikibase:rank                                  | wikibase:NormalRank                 |
| s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E | rdf:type                                       | wikibase:BestRank                   |
| s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E | start time (pqv:P580)                          | v:ce90feaacda74eb7f8326b25fb625c6d  |
| s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E | end time (pqv:P582)                            | v:fc1d2395f6a4679c97b3b7f23f202c19  |
| s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E | rdf:type                                       | wikibase:Statement                  |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                              |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------- |
| s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 | member of sports team (ps:P54)                 | Miami Heat (wd:Q169138)             |
| s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 | start time (pq:P580)                           | 2004-07-14T00:00:00Z (xsd:dateTime) |
| s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 | end time (pq:P582)                             | 2008-02-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 | position played on team / speciality (pq:P413) | center (wd:Q222052)                 |
| s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 | sport number (pq:P1618)                        | 32                                  |
| s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 | wikibase:rank                                  | wikibase:NormalRank                 |
| s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 | rdf:type                                       | wikibase:BestRank                   |
| s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 | start time (pqv:P580)                          | v:b5ff01e96ebedaa0a614a99ae12e187f  |
| s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 | end time (pqv:P582)                            | v:69e8567de4331cd6bb0a1fd4a87f8b4e  |
| s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 | rdf:type                                       | wikibase:Statement                  |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                              |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------- |
| s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 | member of sports team (ps:P54)                 | Orlando Magic (wd:Q161337)          |
| s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 | start time (pq:P580)                           | 1992-06-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 | end time (pq:P582)                             | 1996-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 | position played on team / speciality (pq:P413) | center (wd:Q222052)                 |
| s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 | sport number (pq:P1618)                        | 32                                  |
| s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 | wikibase:rank                                  | wikibase:NormalRank                 |
| s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 | rdf:type                                       | wikibase:BestRank                   |
| s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 | start time (pqv:P580)                          | v:5794dc37ace69b3c86fbf3027693bc70  |
| s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 | end time (pqv:P582)                            | v:d49b98a030ea836c922381a07d3a55a5  |
| s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 | rdf:type                                       | wikibase:Statement                  |

[Tool]
Got 9 rows and 3 columns:
| subject                                        | property                       | object                                       |
| ---------------------------------------------- | ------------------------------ | -------------------------------------------- |
| s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B | member of sports team (ps:P54) | LSU Tigers men's basketball (wd:Q6460027)    |
| s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B | start time (pq:P580)           | 1989-01-01T00:00:00Z (xsd:dateTime)          |
| s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B | end time (pq:P582)             | 1992-01-01T00:00:00Z (xsd:dateTime)          |
| s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B | wikibase:rank                  | wikibase:NormalRank                          |
| s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B | rdf:type                       | wikibase:BestRank                            |
| s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B | prov:wasDerivedFrom            | ref:7861d66d49ba5b384ad8ba7caedf2889444ad549 |
| s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B | start time (pqv:P580)          | v:4fd2cd92c9b69a44e3f7bf490423b812           |
| s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B | end time (pqv:P582)            | v:516a86436b5c5bfb1781235e0e47c6d0           |
| s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B | rdf:type                       | wikibase:Statement                           |

[Assistant]
Based on the detailed exploration, Shaquille O'Neal's first NBA team was the Orlando Magic, and the start time for his tenure with them is recorded as 1992-06-01. This is the best available data for when Shaq "came into the NBA."

Here is the SPARQL query that retrieves the start time of Shaquille O'Neal's NBA career with the Orlando Magic:

```sparql
SELECT ?nbaStart WHERE {
  wd:Q169452 p:P54 ?statement .
  ?statement ps:P54 wd:Q161337 ;  # Orlando Magic
             pq:P580 ?nbaStart .
}
```

Now, I will provide the final answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?spouse WHERE {
  wd:Q34969 wdt:P26 ?spouse .
}

Ben Franklin (Benjamin Franklin) married Deborah Read Franklin (wd:Q3020859).

[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 did ben franklin marry?

[Assistant]
Let's break down the question:

1. The user is asking about the spouse of Ben Franklin.
2. First, I need to identify the correct Wikidata entity for Ben Franklin.
3. Then, I need to find the property for "spouse" in Wikidata.
4. Finally, I will construct a SPARQL query to retrieve the spouse(s) of Ben Franklin.

Let's start by searching for the entity "Ben Franklin" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Benjamin Franklin, also known as The First American, Silence Dogood, Poor Richard, Ben Franklin, Franklin (wd:Q34969): American polymath and statesman (1706–1790), politician, polymath, diplomat, writer
2. Benjamin Franklin, also known as The First American, Silence Dogood, Poor Richard, Franklin, Ben Franklin (wd:Q34969): American polymath and statesman (1706–1790), politician, polymath, diplomat, writer
3. Ben Franklin, also known as PX-15 (wd:Q663994): American scientific submarine, now a museum ship in Canada
4. Ben Franklin, also known as Benjamin Cameron Franklin (wd:Q19873536): Australian politician, politician
5. Ben Franklin, also known as Ben Franklin, Texas, Ben Franklin, TX (wd:Q4885668): unincorporated community in Delta County, Texas, United States
6. Ben Franklin (wd:Q4885669): Canadian politician, politician, mayor
7. Ben Franklin (wd:Q131374896): 21st century American politician, politician
8. Ben Franklin (wd:Q4885670): episode of The Office (S3 E15)
9. Benjamin Franklin Bridge, also known as Ben Franklin Bridge, Delaware River Bridge (wd:Q817485): suspension bridge between Philadelphia, Pennsylvania and Camden, New Jersey
10. Ben Franklin effect (wd:Q4885677): psychological phenomenon

[Assistant]
The correct entity for Ben Franklin, the American polymath and statesman, is wd:Q34969.

Next, I need to find the property for "spouse" in Wikidata.

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/pr/psv/prn/ps/wdtn/pq/pqv/wdt/psn/pqn/prv): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/pr/psv/prn/ps/wdtn/pq/pqv/wdt/psn/pqn/prv): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as p/pr/psv/prn/ps/wdtn/pq/pqv/wdt/psn/pqn/prv): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
4. married name, also known as full name (married) (wd:P2562 as p/pr/psv/prn/ps/wdtn/pq/pqv/wdt/psn/pqn/prv): name or surname adopted by a person upon marriage, name
5. place of marriage, also known as marriage location, wedding location, wed at, married in, married at (wd:P2842 as p/pr/psv/prn/ps/wdtn/pq/pqv/wdt/psn/pqn/prv): location where the marriage was celebrated. Use as qualifier for property "spouse" (P26), significant place
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/pr/psv/prn/ps/wdtn/pq/pqv/wdt/psn/pqn/prv): full name of a person at birth, if different from their current, generally used name, name
7. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as p/pr/psv/prn/ps/wdtn/pq/pqv/wdt/psn/pqn/prv): item with which the item is physically connected, physically interacts with
8. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as p/pr/psv/prn/ps/wdtn/pq/pqv/wdt/psn/pqn/prv): two or more astronomic bodies of the same type relating to each other
9. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as p/pr/psv/prn/ps/wdtn/pq/pqv/wdt/psn/pqn/prv): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
10. relation (wd:P2309 as p/pr/psv/prn/ps/wdtn/pq/pqv/wdt/psn/pqn/prv): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The property for "spouse" in Wikidata is wd:P26.

Now, I will construct a SPARQL query to find the spouse(s) of Benjamin Franklin (wd:Q34969) using the "spouse" property (wd:P26). I will also try to retrieve the label of the spouse for clarity, but the main result will be the IRI.

Here is the query I will use:
```sparql
SELECT ?spouse ?spouseLabel WHERE {
  wd:Q34969 wdt:P26 ?spouse .
  OPTIONAL { ?spouse rdfs:label ?spouseLabel . FILTER (lang(?spouseLabel) = "en") }
}
```
Now, I will execute this query.

[Tool]
Got 1 row and 2 columns:
| spouse                              | spouseLabel                |
| ----------------------------------- | -------------------------- |
| Deborah Read Franklin (wd:Q3020859) | Deborah Read Franklin (en) |

[Tool] Stopped generation process