PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?postalCode WHERE {
  wd:Q793929 wdt:P281 ?postalCode
}

The zip code for Azle, Texas is 76020.

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

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

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

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

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

[User] what is the zip code for azle texas?

[Assistant] To answer the question about the zip code for Azle, Texas, I need to identify the entity for Azle, Texas in the knowledge graph and then find the property that corresponds to the zip code or postal code for that entity. I will start by searching for the entity "Azle, Texas" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Azle, also known as Azle, Texas, Azle, TX (wd:Q793929): city in Texas, United States
2. Texas Health Resources Azle heliport (wd:Q61719753): heliport in Texas, United States
3. Causal factors for seismicity near Azle, Texas (wd:Q35541092): scientific article published on 21 April 2015
4. Texas, also known as Tex., US-TX, Lone Star State, Texas, United States, State of Texas (wd:Q1439): state of the United States of America
5. Texas, also known as Lone Star State, US-TX, TX, Texas, United States, Tex. (wd:Q1439): state of the United States of America
6. Texas (wd:Q916484): Scottish musical group; alternative rock band
7. Texas, also known as Texas, WI (wd:Q1887280): town in Wisconsin, United States
8. Texas (wd:Q7707414): 1941 Western film directed by George Marshall
9. Texas, also known as Texas, Queensland, Texas, Queensland, Australia (wd:Q144229): town in Queensland, Australia
10. Texas, also known as Texas, NY, Texas, New York (wd:Q3816828): town in Oswego County, New York

[Assistant] I found the entity for Azle, Texas as wd:Q793929 which is a city in Texas, United States. Now I will search for the property related to the zip code or postal code for this entity. I will search for properties of Azle, Texas related to "zip code" or "postal code".

[Tool]
Top 10 property alternatives:
1. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as p/wdt): identifier assigned by postal authorities for the subject area or building
2. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as p/wdt): identifier dedicated to subject city by the area communication network
3. FIPS 55-3 (locations in the US), also known as fips code for US locations, Federal Information Processing Standard 55-3, FIPS 55-3 (wd:P774 as p/wdt): identifier for places in the United States per former Federal Information Processing Standard FIPS 55-3
4. social media followers, also known as number of subs, number of subscribers, sub count, sub number, subscriber number (wd:P8687 as wdt/p): number of subscribers on a particular social media website (use ... in time" and property for account. For Twitter, use numeric id.
5. UN/LOCODE, also known as LOCCODE, LOCODE, UNECE location code, UNECE LOCODE, United Nations location code (wd:P1937 as p/wdt): geographic location code maintained by UNECE
6. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
7. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
8. FactGrid item ID, also known as FG ID, FactGrid ID (wd:P8168 as p/wdtn/wdt): identifier for an item in FactGrid
9. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
10. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as wdt/wdtn/p): identifier in the GeoNames geographical database

No other items found

[Assistant] The property for postal code (zip code) is wd:P281. Now I will query the postal code for Azle, Texas (wd:Q793929) using this property.

[Tool]
Got 1 row and 1 column:
| ?postalCode |
| ----------- |
| 76020       |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language ?languageLabel WHERE {
  wd:Q79 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

The main language mainly spoken in Egypt is Arabic.

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

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

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

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

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

[User] what language is mainly spoken in egypt?

[Assistant]
To answer the question "What language is mainly spoken in Egypt?", I need to identify the entity for Egypt and the property that relates a country to its main or official language. Then I will query the knowledge graph to find the language mainly spoken in Egypt.

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

[Tool]
Top 10 entity alternatives:
1. Egypt, also known as Republic of Egypt, Rep. Egypt, EGY, eg, Arab Republic of Egypt (wd:Q79): country in Northeast Africa and Southwest Asia
2. Khedivate of Egypt, also known as Egypt, Egyptian Khedivate (wd:Q127861): 1867-1914 monarchy in Northeastern Africa
3. Egypt Eyalet, also known as QASR of Egypt, Pashalik of Egypt, Egypt, Mısır Eyalet, Beylerbeyilik of Egypt (wd:Q491507): Egyptian State (1517–1867)
4. Egypt, also known as Egypt, AK, Egypt, AR (wd:Q2083973): town in Arkansas
5. Egypt, also known as Egypt, Etowah County, Alabama, Egypt, AL (wd:Q5348296): census-designated place in Etowah County, Alabama
6. Egypt, also known as Egypt, Pennsylvania (wd:Q5348306): human settlement in Pennsylvania, United States
7. Egypt 1156 B.C., also known as Egypt, Egypt 1156 B.C.: Tomb of the Pharaoh (wd:Q3586212): 1999 video game
8. Egypt, also known as Egypt, WV (wd:Q5348310): unincorporated community in Jefferson County, West Virginia
9. Egypt (wd:Q5348317): 2004 album by Youssou N'Dour
10. Egypt, also known as Egypt, IN, Egypt, Indiana (wd:Q5348297): unincorporated community in Jasper County, Minnesota

[Assistant] The entity for Egypt as a country is wd:Q79. Next, I need to find the property that relates a country to its main or official language. I will search for properties related to "language" for the entity Egypt (wd:Q79).

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
5. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. name in native language, also known as native name (wd:P1559 as wdt/p): name of a person in their native language, name
8. 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
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
10. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as wdt/p): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.

No other items found

[Assistant] The properties "official language" (wdt:P37) and "language used" (wdt:P2936) seem relevant for finding the main language spoken in Egypt. I will query the official language(s) of Egypt (wd:Q79) using the property official language (wdt:P37).

[Tool]
Got 1 row and 2 columns:
| ?language          | ?languageLabel |
| ------------------ | -------------- |
| Arabic (wd:Q13955) | Arabic         |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language ?languageLabel WHERE {
  wd:Q178630 wdt:P1412 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

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

Portuguese people speak Portuguese.

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

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

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

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

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

[User] what do portuguese people speak?

[Assistant]
The question is asking about the language spoken by Portuguese people. To answer this, I need to identify the entity for "Portuguese people" and find the property that relates people or ethnic groups to the language they speak.

Step 1: Search for the entity "Portuguese people" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Portuguese, also known as Portugal residents, Portuguesas, Portuguese people, Portugueses (wd:Q178630): people from or residents of Portugal
2. Portuguese people (wd:L1321370-S1)
3. Portuguese people in Pakistan (wd:Q25046179): ethnic group
4. Portuguese (pertaining to Portugal or Portuguese people) (wd:L4953-S1)
5. Portuguese (pertaining to Portugal or Portuguese people) (wd:L304557-S1)
6. Portuguese, also known as Portuguese language, pt (wd:Q5146): Western Romance language of the Indo-European language family
7. human, also known as human being, person, people, nonfictional human, non-fictional human (wd:Q5): any member of Homo sapiens, unique extant species of the genus Homo
8. people, also known as folk, folks, peoples, volk (wd:Q2472587): plurality of persons considered as a whole, from a government perspective
9. People, also known as People Magazine, People Weekly (wd:Q33659): American weekly magazine devoted to celebrity and human-interest
10. European Portuguese, also known as Português europeu, pt-pt, Portugues europeu, Portuguese Portuguese, Portugal Portuguese (wd:Q922399): dialect within the Portuguese language

[Assistant]
The entity "Portuguese people" corresponds to wd:Q178630, which represents people from or residents of Portugal.

Step 2: Find the property that relates people or ethnic groups to the language they speak. I will search for properties related to "language spoken" or "spoken language" for the entity Portuguese people (wd:Q178630).

[Tool]
Top 10 property alternatives:
1. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
2. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
3. 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
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. 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
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
8. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain

No other items found

[Assistant]
The property "languages spoken, written or signed" (wdt:P1412) is the appropriate property that relates a people to the language(s) they speak.

Step 3: Construct a SPARQL query to find the languages spoken by the Portuguese people (wd:Q178630) using the property wdt:P1412. I will also include the labels of the languages for better readability.

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

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?player ?playerLabel WHERE {
  ?player wdt:P647 wd:Q162990 .
  OPTIONAL {
    ?player rdfs:label ?playerLabel FILTER ( LANG( ?playerLabel ) = "en" )
  }
}

Got 117 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?player                       | ?playerLabel     |
| ----------------------------- | ---------------- |
| Larry Sanders (wd:Q1034012)   | Larry Sanders    |
| LeBron James (wd:Q108870659)  | LeBron James     |
| Eddie Jordan (wd:Q1134403)    | Eddie Jordan     |
| Reggie Geary (wd:Q115509)     | Reggie Geary     |
| DeSagana Diop (wd:Q1179612)   | DeSagana Diop    |
| ...                           | ...              |
| Austin Carr (wd:Q933952)      | Austin Carr      |
| Winston Bennett (wd:Q943368)  | Winston Bennett  |
| Mickey Dillard (wd:Q962929)   | Mickey Dillard   |
| Ben McDonald (wd:Q967072)     | Ben McDonald     |
| Tristan Thompson (wd:Q973212) | Tristan Thompson |

The Cleveland Cavaliers have drafted many players. Here are some of them: Larry Sanders, LeBron James, Eddie Jordan, Reggie Geary, DeSagana Diop, Austin Carr, Winston Bennett, Mickey Dillard, Ben McDonald, and Tristan Thompson. There are a total of 117 players drafted by the Cleveland Cavaliers according to Wikidata.

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

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

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

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

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

[User] who did the cleveland cavaliers draft?

[Assistant]
The user is asking "Who did the Cleveland Cavaliers draft?" This is a broad question because the Cleveland Cavaliers have drafted many players over the years. To provide a meaningful answer, I should retrieve a list of players drafted by the Cleveland Cavaliers.

Step 1: Identify the entity for "Cleveland Cavaliers" in Wikidata.
Step 2: Identify the property that relates a basketball team to the players they drafted.
Step 3: Query for the players drafted by the Cleveland Cavaliers.

I will start by searching for the entity "Cleveland Cavaliers" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Cleveland Cavaliers, also known as Cavaliers, Cleveland Cavs, Cavs (wd:Q162990): National Basketball Association team in Cleveland, Ohio
2. history of the Cleveland Cavaliers, also known as Cleveland Cavaliers history, the Cleveland Cavaliers history (wd:Q20710370): aspect of history
3. 2022–23 Cleveland Cavaliers season (wd:Q112133040): NBA professional basketball team season
4. 2023–24 Cleveland Cavaliers season (wd:Q118908694): 2023–24 NBA season by team
5. 2015–16 Cleveland Cavaliers season (wd:Q20020792): NBA professional basketball team season (won championship)
6. 2018–19 Cleveland Cavaliers season (wd:Q54958273): season of National Basketball Association team the Cleveland Cavaliers
7. 2020–21 Cleveland Cavaliers season (wd:Q98553687): NBA professional basketball team season
8. 2021–22 Cleveland Cavaliers season (wd:Q107570641): NBA season for the Cleveland Cavaliers (2021-2022)
9. 2017–18 Cleveland Cavaliers season (wd:Q30641924): NBA professional basketball team season
10. 2019–20 Cleveland Cavaliers season (wd:Q63859185): NBA professional basketball team season

[Assistant] The entity for the Cleveland Cavaliers is wd:Q162990. Next, I need to find the property that relates a basketball team to the players they drafted. I will search for properties related to "draft" for the Cleveland Cavaliers entity.

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
2. 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
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. 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
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/p): home stadium or venue of a sports team or applicable performing arts organization, location
7. 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)
8. category for members of a team, also known as category for players, category for team members (wd:P6112 as p/wdt): Wikimedia category for players playing for a sports team, topic's main category
9. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
10. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as wdt/p): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person

No other items found

[Assistant] The search for properties related to "draft" for the Cleveland Cavaliers entity did not return a direct property linking the team to players they drafted. I will try a different approach: I will search for the property "drafted by" which is commonly used to link players to the team that drafted them. Then I will query for players who have this property pointing to the Cleveland Cavaliers.

[Tool]
Top 10 property alternatives:
1. drafted by (wd:P647 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): which team the player was drafted by
2. draft, also known as draught (wd:P2262 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): depth below the water line to the bottom of a vessel's hull; summer draft is implied unless stated otherwise.
3. study or design for, also known as design for, draft for, first version of, preparatory work for, study for (wd:P6606 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): finished work of art for which the subject is a preliminary study, design, or conceptual drawing
4. draft pick number, also known as draft number (wd:P1836 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): overall pick number with which a player is selected in a sports draft, series ordinal
5. The Draft Review ID, also known as Draft Review identifier, The Draft Review identifier, Draft Review ID (wd:P9514 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier for a basketball player in the database of The Draft Review
6. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
7. participant, also known as suspect, player, party, participants, has participant (wd:P710 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
8. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): 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 psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): sports teams or clubs that the subject represents or represented, member of
10. DraftExpress ID, also known as draftexpress.com ID (wd:P3533 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier for a basketball player at draftexpress.com

[Assistant] The property "drafted by" (wd:P647) is the correct property to link players to the team that drafted them. Now I will write a query to find all players who have the property "drafted by" with the value Cleveland Cavaliers (wd:Q162990). I will also include the player's label for readability.

[Tool]
Got 117 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?player                       | ?playerLabel     |
| ----------------------------- | ---------------- |
| Larry Sanders (wd:Q1034012)   | Larry Sanders    |
| LeBron James (wd:Q108870659)  | LeBron James     |
| Eddie Jordan (wd:Q1134403)    | Eddie Jordan     |
| Reggie Geary (wd:Q115509)     | Reggie Geary     |
| DeSagana Diop (wd:Q1179612)   | DeSagana Diop    |
| ...                           | ...              |
| Austin Carr (wd:Q933952)      | Austin Carr      |
| Winston Bennett (wd:Q943368)  | Winston Bennett  |
| Mickey Dillard (wd:Q962929)   | Mickey Dillard   |
| Ben McDonald (wd:Q967072)     | Ben McDonald     |
| Tristan Thompson (wd:Q973212) | Tristan Thompson |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movement ?movementLabel WHERE {
  wd:Q156386 wdt:P135 ?movement .
  OPTIONAL {
    ?movement rdfs:label ?movementLabel FILTER ( LANG( ?movementLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| ?movement                       | ?movementLabel     |
| ------------------------------- | ------------------ |
| post-impressionism (wd:Q166713) | post-impressionism |
| naïve art (wd:Q281108)          | naïve art          |
| primitivism (wd:Q848365)        | primitivism        |

Henri Rousseau worked in the artistic styles of post-impressionism, naïve art, and primitivism.

[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 artistic style did henri rousseau work in?

[Assistant] To answer the question about the artistic style Henri Rousseau worked in, I will first search for the entity "Henri Rousseau" in Wikidata to get his identifier. Then, I will look for properties related to "artistic style" or similar attributes associated with him.

[Tool]
Top 10 entity alternatives:
1. Henri Rousseau, also known as le Douanier Rousseau, Henri rousseau, Le Douanier, le Douanier, h. rousseau (wd:Q156386): French painter (1844–1910), printmaker, painter, artist
2. Henri Rousseau (wd:Q106847442): French illustrator, illustrator
3. Henri Rousseau (wd:Q110034910): Righteous Among the Nations, farmer
4. Henri Rousseau (wd:Q110890688): 1942 exhibition at Museum of Modern Art
5. Henri Rousseau (wd:Q110893138): 1985 exhibition at Museum of Modern Art
6. Henri Emilien Rousseau, also known as Henri Émilien Rousseau, Henri E. Rousseau (wd:Q3132420): French painter (1875-1933), painter
7. Henri-Paul Rousseau (wd:Q3130451): Canadian businessperson, university teacher, businessperson
8. Rousseau, Henri(-Julien-Félix) (wd:Q103964446): encyclopedia article
9. Portrait of Henri Rousseau (wd:Q52083876): underglass painting by Franz Marc
10. Charles Henri Joseph Rousseau (wd:Q125622073): artisan (1732-1820), artisan

[Assistant] The most relevant entity for Henri Rousseau, the French painter, is wd:Q156386. Next, I will search for properties related to "artistic style" or similar attributes for this entity.

[Tool]
Top 10 property alternatives:
1. 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
2. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as wdt/p): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
3. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
4. Artsy artist ID, also known as Artsy artist identifier, Artsy id (wd:P2042 as p/wdt): identifier at the Artsy website
5. 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
6. artist files at, also known as has artist files in, has artist files at, has artist file in, has artist file at, artist files in (wd:P9493 as wdt/p): institution or collection that holds artist files about the subject, documentation files at
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. Web Gallery of Art artist ID, also known as WGA artist id, WGA ID, Web Gallery of Art identifier, Web Gallery of Art ID (wd:P1882 as wdt/p): identifier for an artist in the Web Gallery of Art
9. signature, also known as signature image, image of signature, facsimiles, autograph (wd:P109 as p/wdt): image of a person's signature, image
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant] The property "movement" (wdt:P135) is the most relevant for describing the artistic style or movement Henri Rousseau worked in. I will now query the artistic movement(s) associated with Henri Rousseau (wd:Q156386) using this property.

[Tool]
Got 3 rows and 2 columns:
| ?movement                       | ?movementLabel     |
| ------------------------------- | ------------------ |
| post-impressionism (wd:Q166713) | post-impressionism |
| naïve art (wd:Q281108)          | naïve art          |
| primitivism (wd:Q848365)        | primitivism        |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?entity ?entityLabel WHERE {
  VALUES ?entity {
    wd:Q234801
  }
  OPTIONAL {
    ?entity rdfs:label ?entityLabel FILTER ( LANG( ?entityLabel ) = "en" )
  }
}

Islamic people pray to Allah, which is the Arabic word for God (Wikidata entity wd:Q234801).

[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 do islamic people pray to?

[Assistant] The question is asking about the entity to whom Islamic people pray. In Islam, the central figure of worship is God, commonly referred to as "Allah" in Arabic. To confirm this and find the corresponding entity in Wikidata, I will search for "Allah" as an entity.

[Tool]
Top 10 entity alternatives:
1. God, also known as All-Knowing, The One, The Lord, The All, supreme being (wd:Q190): principal object of faith in monotheistic religions, a divine entity that created and typically supervises all existence
2. Allah, also known as Allāh, ﷲ, الله, Allaah, ʾAllāh (wd:Q234801): Arabic word for God
3. Allah, also known as ﷲ, الله, ʾAllāh, ʾallāh, God in Arabic (wd:Q234801): Arabic word for God
4. God in Islam, also known as Allah, God (Islam), God (wd:Q2095353): Islamic conception of God
5. Clarence 13X, also known as Father Allah, Clarence Edward Smith, Allah the Father, Allah (wd:Q1095354): founder of The Nation of Gods and Earths (1928–1969), black supremacist, religious leader
6. Allah, also known as Allah, Arizona, Allah, AZ (wd:Q22058587): populated place located in Maricopa County, Arizona
7. Allah Allah / Hülya, also known as Allah Allah, Hülya (wd:Q6043103): 1987 studio album by İbrahim Tatlıses
8. Allah (wd:Q37516973): family name
9. Allah (wd:Q30064506): book
10. Allah (wd:Q126126270): painting by Isma'il Gulgee

[Assistant] The entity "Allah" (wd:Q234801) is the Arabic word for God and is the central figure of worship in Islam. To answer the question "Who do Islamic people pray to?" the answer is "Allah" or God in the Islamic context. I will now formulate a SPARQL query to retrieve the label of this entity to confirm the answer.

[Tool]
Got 1 row and 2 columns:
| ?entity            | ?entityLabel |
| ------------------ | ------------ |
| Allah (wd:Q234801) | Allah        |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?place ?placeLabel WHERE {
  ?place wdt:P131 wd:Q60 .
  ?place wdt:P31 ?type .
  VALUES ?type {
    wd:Q570116 wd:Q33506 wd:Q22698 wd:Q24354 wd:Q811979
  }
  OPTIONAL {
    ?place rdfs:label ?placeLabel FILTER ( LANG( ?placeLabel ) = "en" )
  }
}
LIMIT 20

Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?place                                                | ?placeLabel                             |
| ----------------------------------------------------- | --------------------------------------- |
| George M. Cohan's Theatre (wd:Q101252358)             | George M. Cohan's Theatre               |
| American LGBTQ+ Museum (wd:Q110964686)                | American LGBTQ+ Museum                  |
| Church of the Advent Hope (wd:Q110983615)             | Church of the Advent Hope               |
| National September 11 Memorial & Museum (wd:Q1136137) | National September 11 Memorial & Museum |
| National September 11 Memorial & Museum (wd:Q1136137) | National September 11 Memorial & Museum |
| ...                                                   | ...                                     |
| Museum of Food and Drink (wd:Q16913647)               | Museum of Food and Drink                |
| Lyceum Theatre (wd:Q1756846)                          | Lyceum Theatre                          |
| 9/11 Tribute Museum (wd:Q17984748)                    | 9/11 Tribute Museum                     |
| Filipino American Museum (wd:Q20979253)               | Filipino American Museum                |
| The Lenru (wd:Q20979307)                              | The Lenru                               |

Some things you can do in New York City include visiting tourist attractions, museums, parks, theaters, and landmarks. Examples are the National September 11 Memorial & Museum, the Statue of Liberty, George M. Cohan's Theatre, the American LGBTQ+ Museum, and the Museum of Food and Drink.

[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 can do in new york?

[Assistant]
The question "what can do in New York?" is asking for activities or things to do in New York. To answer this, I need to identify entities related to New York (likely New York City) and then find properties or related entities that describe activities, attractions, or things to do there.

Step 1: Identify the entity for "New York." This could be New York City or the state of New York. Since the question is likely about activities, it is more probable that the user means New York City.

I will search for the entity "New York City" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. New York City, also known as Capital of the World, Big Apple, the five boroughs, The City So Nice They Named It Twice, NY, NY (wd:Q60): most populous city in the United States
2. New City, also known as New City, New York, New City, NY (wd:Q3053698): census designated place in the town of Clarkstown, Rockland County, New York, United States
3. Yorkville, also known as Yorkville, New York, Yorkville, Manhattan, Yorkville, New York City (wd:Q1189975): neighborhood of Manhattan, New York City, New York, United States
4. New York City, also known as New York City I (wd:Q18710663): painting by Piet Mondrian at the Musée national d’Art moderne, Paris, France
5. New York City (wd:Q7013127): band
6. New York City (wd:Q63438423): 2019  song by Kylie Minogue
7. New York City (wd:Q7013124): John Lennon and Yoko Ono song
8. New York City (wd:Q3875477): 2007 debut single by Emigrate
9. New York City (wd:Q16998793): song by the British glam rock band T. Rex
10. New York City (wd:Q3339042): 2003 studio album by the Peter Malick Group featuring Norah Jones

[Assistant]
The entity for New York City is wd:Q60, which is the most populous city in the United States. Now, I need to find properties or related entities that describe activities, attractions, or things to do in New York City.

I will search for properties related to "things to do" or "activities" for the entity New York City (wd:Q60).

[Tool]
Top 10 property alternatives:
1. 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
2. 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 wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
4. locator map image, also known as locator map, map image, map (wd:P242 as wdt/p): geographic map image which highlights the location of the subject within some larger entity, image
5. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as p/wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)
6. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused
7. follows, also known as prev, successor to, succeeds to, succeeds, split from (wd:P155 as p/wdt): immediately prior item in a series of which the subject is a par... preceding item, e.g. political offices, use "replaces" (P1365)]
8. shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as p/wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.
9. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
10. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Assistant]
The search for properties related to "things to do" or "activities" for New York City (wd:Q60) did not return relevant properties directly describing activities or attractions.

Next, I will try a different approach: I will search for notable tourist attractions or points of interest located in New York City. This can give us a list of things to do in New York City.

I will search for entities that are located in New York City (wd:Q60) and are instances of tourist attractions or points of interest. To do this, I will first find the property for "located in the administrative territorial entity" (likely wdt:P131) and the class for "tourist attraction" or similar. I will search for the class "tourist attraction" first.

[Tool]
Top 10 entity alternatives:
1. tourist attraction, also known as attraction for tourists, POI for tourists, tourism attraction, touristic attraction, tourist place (wd:Q570116): place of interest where tourists visit
2. Tourist Attraction (wd:Q4167290): episode of The Outer Limits
3. Tourist attraction (wd:Q60064106): scientific article published in Nature
4. Lerd, also known as Iran tourist villages, villages, Lerd tourist village, Lerd, Ardabil, Lard (wd:Q6402876): Tourist village in Ardabil Province, Iran
5. Songshanhu tourist attraction (wd:Q109343070)
6. major tourist attraction (wd:Q63982751)
7. a tourist attraction (wd:L733218-S1)
8. a tourist attraction (wd:L1310967-S1)
9. Tourist Attraction in Kalahandi (wd:Q7829245)
10. Cemeteries as tourist attraction (wd:Q113194819): scientific article published on 19 July 2018

[Assistant] The entity for "tourist attraction" is wd:Q570116. Now I will write a SPARQL query to find entities that are instances of tourist attractions (wd:Q570116) and are located in New York City (wd:Q60). I will retrieve their identifiers and labels.

[Tool]
Got 2 rows and 2 columns:
| ?attraction                                           | ?attractionLabel                        |
| ----------------------------------------------------- | --------------------------------------- |
| National September 11 Memorial & Museum (wd:Q1136137) | National September 11 Memorial & Museum |
| Statue of Liberty (wd:Q9202)                          | Statue of Liberty                       |

[Assistant]
I found two tourist attractions located in New York City: the National September 11 Memorial & Museum (wd:Q1136137) and the Statue of Liberty (wd:Q9202). These are examples of things to do in New York City.

To provide a broader answer, I will extend the query to include other types of points of interest or activities. I will include entities that are instances of museums (wd:Q33506), parks (wd:Q22698), theaters (wd:Q24354), and landmarks (wd:Q811979) located in New York City. This should give a more comprehensive list of things to do.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?place                                                | ?placeLabel                             |
| ----------------------------------------------------- | --------------------------------------- |
| George M. Cohan's Theatre (wd:Q101252358)             | George M. Cohan's Theatre               |
| American LGBTQ+ Museum (wd:Q110964686)                | American LGBTQ+ Museum                  |
| Church of the Advent Hope (wd:Q110983615)             | Church of the Advent Hope               |
| National September 11 Memorial & Museum (wd:Q1136137) | National September 11 Memorial & Museum |
| National September 11 Memorial & Museum (wd:Q1136137) | National September 11 Memorial & Museum |
| ...                                                   | ...                                     |
| Museum of Food and Drink (wd:Q16913647)               | Museum of Food and Drink                |
| Lyceum Theatre (wd:Q1756846)                          | Lyceum Theatre                          |
| 9/11 Tribute Museum (wd:Q17984748)                    | 9/11 Tribute Museum                     |
| Filipino American Museum (wd:Q20979253)               | Filipino American Museum                |
| The Lenru (wd:Q20979307)                              | The Lenru                               |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?material ?materialLabel WHERE {
  ?work wdt:P170 wd:Q165397 ; wdt:P186 ?material .
  OPTIONAL {
    ?material rdfs:label ?materialLabel FILTER ( LANG( ?materialLabel ) = "en" )
  }
}

Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?material                 | ?materialLabel |
| ------------------------- | -------------- |
| steel (wd:Q11427)         | steel          |
| paper (wd:Q11472)         | paper          |
| ink (wd:Q127418)          | ink            |
| India ink (wd:Q12981547)  | India ink      |
| white card (wd:Q15918049) | white card     |
| ...                       | ...            |
| limestone (wd:Q23757)     | limestone      |
| cobblestone (wd:Q2996907) | cobblestone    |
| bronze (wd:Q34095)        | bronze         |
| glue (wd:Q500548)         | glue           |
| aluminum (wd:Q663)        | aluminium      |

Eduardo Paolozzi used various materials in his work, including steel, paper, ink, India ink, white card, limestone, cobblestone, bronze, glue, and aluminium.

[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 materials did eduardo paolozzi use in his work?

[Assistant] To answer the question about the materials used by Eduardo Paolozzi in his work, I will first search for the entity "Eduardo Paolozzi" in Wikidata to get his identifier. Then, I will look for properties related to materials used in artwork or artistic work associated with him. Finally, I will construct a SPARQL query to retrieve the materials he used in his work.

[Tool]
Top 10 entity alternatives:
1. Eduardo Paolozzi, also known as O Paolozzi, Eduard Paolozzi, Sir Eduardo Paolozzi, Sir Eduardo Luigi Paolozzi, Eduardo Luigi Paolozzi (wd:Q165397): architectural draftsperson, British artist (1924-2005), university teacher, textile artist, graphic artist, visual artist, draftsperson, printmaker, ceramicist, filmmaker, collagist, muralist, designer, sculptor, painter, artist, actor
2. Eduardo Paolozzi (wd:Q110891355): 1964 exhibition at Museum of Modern Art
3. Eduardo Paolozzi (wd:Q55370707): exhibition
4. Paolozzi, Sir Eduardo (wd:Q103960948): encyclopedia article
5. Sir Eduardo Paolozzi (wd:Q28051888): painting by Cathleen Sabine Mann
6. Tentoonstelling seriewerken van Eduardo Paolozzi (wd:Q131420865): exhibition at the Stedelijk Museum Amsterdam in 1968
7. Eduardo Paolozzi - One Big Collage (wd:Q104634969): exhibition in 2014
8. Tentoonstelling Victor Pasmore en Eduardo Paolozzi (wd:Q131420611): exhibition at the Stedelijk Museum Amsterdam in 1960
9. Parallel Systems: Lawrence Alloway and Eduardo Paolozzi (wd:Q109792474): scholarly article published in Tate Papers (Autumn 2011)
10. Carlos Eduardo Bendini Giusti, also known as Eduardo, Dudu (wd:Q15402028): Brazilian association football player, association football player

[Assistant] I found the entity for Eduardo Paolozzi as wd:Q165397. Now I will search for properties related to materials used in artwork or artistic work associated with him. I will look for properties that might indicate materials or mediums used in his work.

[Tool]
Top 10 property alternatives:
1. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
2. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
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. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
6. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. Le Delarge artist ID, also known as Delarge artist ID, Delarge ID, Le Delarge ID, Le Dictionnaire des arts plastiques modernes et contemporains ID (wd:P1988 as p/wdt): identifier for an artist in the Delarge dictionary
9. has works in the collection, also known as has items in the collection, works in collection, work in collection, museum housing this person's work, items in the collection (wd:P6379 as wdt/p): collection that has works of this person or organisation (use archives at [P485] for archives)
10. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)

No other items found

[Assistant] There are no direct properties related to materials used by Eduardo Paolozzi in his work found in the properties of the entity. I will try a different approach: I will search for the property "material used" (wdt:P186) which is commonly used to describe materials used in works of art or objects. Then I will check if there are any works or artworks by Eduardo Paolozzi that have this property.

[Tool]
Top 10 property alternatives:
1. raw material processed, also known as consumed resource, commodity, raw material used, natural resource used, material used (wd:P10672 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): raw or intermediate material, or a natural resource converted or...energy (not to be confused with P186 that is used with products)
2. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses
3. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, producer of (wd:P1056 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
4. 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 psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
5. natural product of taxon, also known as produced by taxon, product of taxon, made from, fruit of (taxon), derived from (wd:P1582 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): links a natural product with its source (animal, plant, fungal, algal, etc.)
6. source of material, also known as Material resources (wd:P2647 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): place the material used was mined, quarried, found, or produced
7. item operated, also known as fleet, item used, operated, operates, operator of (wd:P121 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): equipment, installation or service operated by the subject, uses
8. uses, also known as uses trope, used, using, wielded, wields (wd:P2283 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): item or concept used by the subject or in the operation (see also instrument [P1303] and armament [P520])
9. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
10. captured with, also known as camera used, taken with, recording device, recorded with, photographed with (wd:P4082 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): equipment (e.g. model of camera, lens, microphone), used to capture this image, video, audio, or data

[Assistant] The property "made from material" (wdt:P186) is the relevant property for materials used in artworks or objects. Now I will check if there are any works or artworks by Eduardo Paolozzi that have this property. To do this, I will look for items where Eduardo Paolozzi is the creator (wdt:P170) and that have the property "made from material" (wdt:P186).

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] The query failed due to the use of the SERVICE wikibase:label which is not supported by the endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label for materials.

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?material                 | ?materialLabel |
| ------------------------- | -------------- |
| steel (wd:Q11427)         | steel          |
| paper (wd:Q11472)         | paper          |
| ink (wd:Q127418)          | ink            |
| India ink (wd:Q12981547)  | India ink      |
| white card (wd:Q15918049) | white card     |
| ...                       | ...            |
| limestone (wd:Q23757)     | limestone      |
| cobblestone (wd:Q2996907) | cobblestone    |
| bronze (wd:Q34095)        | bronze         |
| glue (wd:Q500548)         | glue           |
| aluminum (wd:Q663)        | aluminium      |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?work ?workLabel WHERE {
  wd:Q310379 wdt:P800 ?work .
  ?work rdfs:label ?workLabel .
  FILTER ( LANG( ?workLabel ) = "en" )
}

Got 4 rows and 2 columns:
| ?work                                     | ?workLabel                  |
| ----------------------------------------- | --------------------------- |
| A Prayer for Owen Meany (wd:Q13911)       | A Prayer for Owen Meany     |
| The Cider House Rules (wd:Q1538984)       | The Cider House Rules       |
| A Widow for One Year (wd:Q1755628)        | A Widow for One Year        |
| The World According to Garp (wd:Q2507282) | The World According to Garp |

John Irving wrote notable works including "The World According to Garp", "The Cider House Rules", "A Prayer for Owen Meany", and "A Widow for One Year".

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

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

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

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

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

[User] what did john irving wrote?

[Assistant]
To answer the question "What did John Irving write?" I need to identify the entity for John Irving and then find the works he has written. Typically, the property for "author of" or "creator of" is used to find written works by an author.

Step 1: Search for the entity "John Irving" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. John Irving, also known as John Wallace Blunt, Jr., John Winslow Irving (wd:Q310379): American novelist and screenwriter, screenwriter, novelist, writer
2. John Irving, also known as John Goodison Irving (wd:Q16300810): association football player, Footballer (born 1988)
3. John Irving (wd:Q14324464): American basketball player, basketball player
4. John Irving (wd:Q108284934): Scottish Royal Navy officer and explorer, naval officer
5. John Irving (wd:Q6240869): association football player, Footballer 1867-1942
6. John Beaufain Irving, also known as Irving, john irving, J.B. Irving, J. Beaufain Irving (wd:Q26196600): American artist 1825-1877, painter
7. John Irving (wd:Q6240863): British MP, slave holder and West Indies merchant (1766-1845), politician
8. John Irving (wd:Q16025218): Canadian politician
9. John Irving (wd:Q6240871): American Navy sailor
10. John Irving (wd:Q59772748): food writer

[Assistant] The most relevant entity for John Irving as a writer is wd:Q310379, who is an American novelist and screenwriter. Now I will find the works written by John Irving (wd:Q310379). The property for "author of" or "creator of" is usually P50 (author) or P800 (notable work). I will check the notable works (P800) of John Irving.

[Tool]
Got 4 rows and 3 columns:
| subject                  | property                | object                                    |
| ------------------------ | ----------------------- | ----------------------------------------- |
| John Irving (wd:Q310379) | notable work (wdt:P800) | The World According to Garp (wd:Q2507282) |
| John Irving (wd:Q310379) | notable work (wdt:P800) | The Cider House Rules (wd:Q1538984)       |
| John Irving (wd:Q310379) | notable work (wdt:P800) | A Prayer for Owen Meany (wd:Q13911)       |
| John Irving (wd:Q310379) | notable work (wdt:P800) | A Widow for One Year (wd:Q1755628)        |

[Assistant]
John Irving (wd:Q310379) wrote several notable works including "The World According to Garp" (wd:Q2507282), "The Cider House Rules" (wd:Q1538984), "A Prayer for Owen Meany" (wd:Q13911), and "A Widow for One Year" (wd:Q1755628).

I will now create a SPARQL query to return these notable works of John Irving along with their labels.

[Tool] Stopped generation process