PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  wd:Q13603754 wdt:P19 ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel FILTER ( lang( ?placeOfBirthLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfBirth           | placeOfBirthLabel |
| ---------------------- | ----------------- |
| Salisbury (wd:Q160642) | Salisbury (en)    |

Robert Irvine comes from Salisbury.

[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 http://amur:7001

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

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

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

[User] where does robert irvine come from?

[Assistant]
Let's break down the question:

1. The user is asking about the origin or place of birth of "Robert Irvine".
2. First, I need to identify the correct entity for Robert Irvine in Wikidata.
3. Then, I need to find the property related to "place of birth" or "origin".
4. Finally, I will construct a SPARQL query to retrieve the place of birth for Robert Irvine.

Let's start by searching for the entity "Robert Irvine" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Bobby Irvine, also known as Robert Irvine, Robert James Irvine (wd:Q4935169): Northern Irish association footballer (born 1942), association football player
2. Robert Irvine (wd:Q29561444): association football player
3. Robert Irvine, also known as Robert Paul Irvine (wd:Q13603754): British celebrity chef, chef
4. Irvine, Robert (wd:Q94829234): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886
5. Robert Irvine (wd:Q7345808): New Zealand rugby league footballer, rugby league player
6. Robert Brian Irvine, also known as Robert Irvine (wd:Q75949893): Peerage person ID=423923
7. Robert Irvine (wd:Q93942944)
8. Robert Irvine (wd:Q76346164): Peerage person ID=703910
9. Robert Irvine (wd:Q76170766): Peerage person ID=579126
10. Robert Irvine (wd:Q76037914): Peerage person ID=485894

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the object is a country that recognizes the subject as its citizen, country
4. birthday, also known as b-day, bday, birth day (wd:P3150 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): full name of a person at birth, if different from their current, generally used name, name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): category item that groups people born in this place, related category
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): what the place, monument, memorial, or holiday, commemorates, main subject

[Tool]
Got 1 row and 1 column:
| placeOfBirth           |
| ---------------------- |
| Salisbury (wd:Q160642) |

[Tool]
Got 1 row and 2 columns:
| placeOfBirth           | placeOfBirthLabel |
| ---------------------- | ----------------- |
| Salisbury (wd:Q160642) | Salisbury (en)    |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly retrieves the place of birth (Salisbury) for Robert Irvine using the appropriate entity and property. However, the query only returns the IRI of the place of birth. For completeness and better readability, it would be helpful to also include the label of the place of birth using an OPTIONAL clause with rdfs:label. This would make the result more user-friendly and directly provide the human-readable name alongside the IRI.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of birth (Salisbury) for Robert Irvine (wd:Q13603754) using the appropriate property (wdt:P19). The query also optionally retrieves the English label for the place of birth. The answer provided matches the query result. No improvements are necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?location WHERE {
  wd:Q505922 wdt:P159 ?location
}

Electrolux is based in Stockholm (wd:Q1754).

[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 http://amur:7001

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

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

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

[User] where is electrolux based?

[Assistant]
Let's break down the question:

1. The entity is "Electrolux".
2. The property we are looking for is the location where Electrolux is based, which is typically "headquarters location" or "location of headquarters".

First, I will search for the entity "Electrolux" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Electrolux, also known as AB Electrolux (wd:Q505922): Swedish multinational manufacturer and marketer of home appliances
2. Electrolux (wd:Q2923843): genus of fishes
3. ELECTROLUX, also known as ELECTROLUX, s.r.o. (wd:Q58218446): Czech company
4. Electrolux addisoni (wd:Q2387882): species of fish
5. Electrolux Assistent, also known as Electrolux Ankarsrum Assistent (wd:Q17496378): stand mixer introduced by Electrolux in 1940
6. Electrolux Trilobite (wd:Q5358060): first commercially available robotic vacuum cleaner
7. Electrolux (Italy), also known as Electrolux Italia S.p.A., Electrolux Rex (wd:Q106045223)
8. Electrolux F.C. (wd:Q96377107): football club
9. Electrolux Professional (wd:Q109974149): Swedish professional appliance manufacturer
10. Lux Norge AS, also known as Electrolux-Euroclean AS, Electrolux AS, Electrolux Rengjøringsmaskiner AS (wd:Q15729564)

[Assistant]
The most relevant entity for "Electrolux" the appliance manufacturer is wd:Q505922.

Next, I need to find the property that indicates the location of a company's headquarters or where it is based. Common properties for this are "headquarters location" or "location of headquarters".

I will search for properties related to "headquarters" for this entity.

[Tool]
Top 10 property alternatives:
1. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
2. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as p/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
3. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as p/wdt): location where a group or organization was formed, location of creation
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
5. chief executive officer, also known as executive director, CEO, chief executive (wd:P169 as p/wdt): highest-ranking corporate officer appointed as the CEO within an organization, director / manager, corporate officer
6. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
7. employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as p/wdt): total number of employees of a company at a given "point in time...not deprecated rank). Add data for recent years, don't overwrite
8. industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as p/wdt): specific industry of company or organization, part of
9. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as p/wdt): founder or co-founder of this organization, religion, place or entity, creator
10. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as p/wdt): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of

No other items found

[Assistant]
The property "headquarters location" (wdt:P159) is the most relevant for finding where Electrolux is based.

Next, I will construct a SPARQL query to find the headquarters location of Electrolux (wd:Q505922) using this property. I will also try to get a human-readable label for the location if available.

[Tool]
Got 1 row and 2 columns:
| location             | locationLabel  |
| -------------------- | -------------- |
| Stockholm (wd:Q1754) | Stockholm (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the headquarters location (wdt:P159) of Electrolux (wd:Q505922) and returns the IRI of the location (Stockholm, wd:Q1754). The answer is accurate and the query follows all required guidelines. No further refinement is needed.


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

Got 1 row and 1 column:
| postalCode |
| ---------- |
| 76020      |

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 http://amur:7001

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]
Let's break down the question:

1. The user wants the zip code for Azle, Texas.
2. We need to identify the entity for Azle, Texas in Wikidata.
3. Then, we need to find the property in Wikidata that represents "zip code" or "postal code".
4. Finally, we will construct a SPARQL query to retrieve the zip code for Azle, Texas.

First, I will search 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]
The most relevant entity for Azle, Texas is wd:Q793929.

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

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

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

Now, I will construct a SPARQL query to retrieve the postal code(s) for Azle, Texas (wd:Q793929) using the property "postal code" (wd:P281).

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and directly retrieves the postal code (zip code) for Azle, Texas using the appropriate Wikidata entity and property. The answer matches the query result, and the query follows all required guidelines. No further refinement is needed.


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

The main language spoken in Egypt is Arabic (wd:Q13955).

[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 http://amur:7001

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]
Let's break down the question:

1. The user wants to know the main language spoken in Egypt.
2. I need to identify the entity for "Egypt" and the property that relates a country to its main or official language.

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 correct entity for the modern country Egypt is wd:Q79.

Next, I need to find the property that links a country to its main or official language. I will search for properties related to "language" for countries.

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

[Assistant]
The most relevant properties for this question are:
- official language (wd:P37): language designated as official by this item
- languages spoken, written or signed (wd:P1412): language(s) that a person or a people speaks, writes or signs

Since the question asks for the "mainly spoken" language, "official language" (P37) is likely the best match, but I can also check "languages spoken, written or signed" (P1412) for completeness.

I will first check which languages are linked to Egypt (wd:Q79) via "official language" (wd:P37).

[Tool]
Got 1 row and 3 columns:
| subject        | property                    | object             |
| -------------- | --------------------------- | ------------------ |
| Egypt (wd:Q79) | official language (wdt:P37) | Arabic (wd:Q13955) |

[Tool] Got no rows and 3 columns

[Assistant]
The property "official language" (wd:P37) links Egypt (wd:Q79) to Arabic (wd:Q13955), and there are no entries for "languages spoken, written or signed" (wd:P1412) for Egypt. This confirms that Arabic is the main (official) language spoken in Egypt.

Now, I will write a SPARQL query that returns the main language spoken in Egypt, returning the IRI of the language and optionally its label.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official language of Egypt (wd:Q79) using the property 'official language' (wd:P37). The answer, Arabic (wd:Q13955), is accurate and matches the expected result for the question. The query also optionally retrieves the English label for the language, which is a good practice for human readability but does not violate any rules. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q178630 wdt:P1412 ?language .
}

Portuguese people speak Portuguese (wd:Q5146).

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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]
Let's break down the question:

1. The question is asking about the language(s) spoken by Portuguese people.
2. I need to identify the entity for "Portuguese people" and the property that links people or ethnic groups to the languages they speak.

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

[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 most relevant entity for "Portuguese people" is wd:Q178630 ("Portuguese, also known as Portugal residents, Portuguesas, Portuguese people, Portugueses").

Step 2: Now, I need to find the property that links people or ethnic groups to the languages they speak. I will search for properties related to "language" for this entity.

[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 p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. 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 of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. 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
7. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
8. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
9. 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
10. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as p/wdt): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one

No other items found

[Assistant]
The property "languages spoken, written or signed" (wdt:P1412) is the most relevant for linking an ethnic group or people to the language(s) they speak.

Step 3: I will now construct a SPARQL query to find the languages spoken, written, or signed by "Portuguese people" (wd:Q178630) using the property wdt:P1412. I will also try to get the labels for the languages for better readability.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the language spoken by Portuguese people (wd:Q178630) using the appropriate property (wdt:P1412) for languages spoken. The result is accurate and matches the expected answer. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?player WHERE {
  ?player wdt:P647 wd:Q162990 .
}

Got 117 rows and 1 column, showing the first 5 and last 5 rows below:
| player                        |
| ----------------------------- |
| Larry Sanders (wd:Q1034012)   |
| LeBron James (wd:Q108870659)  |
| Eddie Jordan (wd:Q1134403)    |
| Reggie Geary (wd:Q115509)     |
| DeSagana Diop (wd:Q1179612)   |
| ...                           |
| Austin Carr (wd:Q933952)      |
| Winston Bennett (wd:Q943368)  |
| Mickey Dillard (wd:Q962929)   |
| Ben McDonald (wd:Q967072)     |
| Tristan Thompson (wd:Q973212) |

The Cleveland Cavaliers have drafted the following players (showing a few examples): Larry Sanders, LeBron James, Eddie Jordan, Reggie Geary, DeSagana Diop, Austin Carr, Winston Bennett, Mickey Dillard, Ben McDonald, Tristan Thompson, and many more. The query returns all players drafted by the Cleveland Cavaliers as Wikidata IRIs.

[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 http://amur:7001

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]
Let's break down the question:

1. The main entity is "Cleveland Cavaliers", which is an NBA basketball team.
2. The action is "draft", referring to players selected by the team in the NBA draft.
3. We need to find the property in Wikidata that links a team to the players it has drafted.

First, I will search for the entity "Cleveland Cavaliers" in Wikidata to get its identifier.

[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 main entity for the Cleveland Cavaliers is wd:Q162990.

Next, I need to determine the property that links a basketball team to the players it has drafted. This will likely be a property related to "draft pick", "drafted player", or "NBA draft".

I will search for properties related to "draft" in Wikidata.

[Tool]
Top 10 property alternatives:
1. draft, also known as draught (wd:P2262 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): depth below the water line to the bottom of a vessel's hull; summer draft is implied unless stated otherwise.
2. study or design for, also known as design for, draft for, first version of, preparatory work for, study for (wd:P6606 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): finished work of art for which the subject is a preliminary study, design, or conceptual drawing
3. drafted by (wd:P647 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): which team the player was drafted by
4. draft pick number, also known as draft number (wd:P1836 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier for a basketball player in the database of The Draft Review
6. DraftExpress ID, also known as draftexpress.com ID (wd:P3533 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier for a basketball player at draftexpress.com
7. Homebrew formula name, also known as brew (wd:P8443 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a package (formula) in the Homebrew package manager
8. edition/version, also known as designation of edition, designation of version, edition, edition designation, edition or version (wd:P9767 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the official edition or version name of a resource; this name is not considered part of the title or subtitle of the resource
9. has edition or translation, also known as version, translation(s), released as, modified as, has version (wd:P747 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): item that is an edition or translation of this item
10. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): method (or type) of distribution for the subject

[Assistant]
The most relevant property is "drafted by" (wd:P647), which links a player to the team that drafted them.

To answer the question "who did the Cleveland Cavaliers draft?", I need to find all players (entities) where "drafted by" (wd:P647) is the Cleveland Cavaliers (wd:Q162990).

I will construct a SPARQL query to retrieve all entities with wdt:P647 = wd:Q162990, and optionally include their labels 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 (en)    |
| LeBron James (wd:Q108870659)  | LeBron James (en)     |
| Eddie Jordan (wd:Q1134403)    | Eddie Jordan (en)     |
| Reggie Geary (wd:Q115509)     | Reggie Geary (en)     |
| DeSagana Diop (wd:Q1179612)   | DeSagana Diop (en)    |
| ...                           | ...                   |
| Austin Carr (wd:Q933952)      | Austin Carr (en)      |
| Winston Bennett (wd:Q943368)  | Winston Bennett (en)  |
| Mickey Dillard (wd:Q962929)   | Mickey Dillard (en)   |
| Ben McDonald (wd:Q967072)     | Ben McDonald (en)     |
| Tristan Thompson (wd:Q973212) | Tristan Thompson (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all players drafted by the Cleveland Cavaliers by using the appropriate property (wdt:P647) and the correct entity for the team (wd:Q162990). The query returns the IRIs of the players as required, and the answer provides a representative sample. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?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 (en) |
| naïve art (wd:Q281108)          | naïve art (en)          |
| primitivism (wd:Q848365)        | primitivism (en)        |

Henri Rousseau worked in the artistic styles of post-impressionism (wd:Q166713), naïve art (wd:Q281108), and primitivism (wd:Q848365).

[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 http://amur:7001

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]
Let's break down the question:

1. The user is asking about the artistic style associated with Henri Rousseau.
2. We need to identify the entity for "Henri Rousseau" and the property that links an artist to their artistic style.

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

[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 the French painter Henri Rousseau is wd:Q156386.

Next, I need to find the property that links an artist to their artistic style. I'll search for properties related to "artistic style" in Wikidata.

[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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
2. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): structure of a creative work
3. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): primary topic of a work (see also P180: depicts), depicts
4. manner of, also known as imitator of, style of (wd:P1777 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): for unknown artists who worked in a similar style as the named author, but not necessary from the same period, significant person
5. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
6. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
7. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): notable scientific, artistic or literary work, or other work of significance among subject's works
8. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): maker of this creative work or other object (where no more specific property exists)
9. cover art by, also known as jacket art by, sleeve art by, designer, cover design by, cover artist (wd:P736 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): name of person or team creating cover artwork for book, record album, single record etc.
10. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject

[Assistant]
The most relevant properties are:
- "movement" (wd:P135): literary, artistic, scientific or philosophical movement or scene with which this person or work is associated.
- "genre" (wd:P136): creative work's genre or an artist's field of work.

For artists and their artistic style, "movement" (wd:P135) is typically used in Wikidata.

Next, I'll check if Henri Rousseau (wd:Q156386) has a value for the property "movement" (wd:P135).

[Tool]
Got 3 rows and 3 columns:
| subject                     | property            | object                          |
| --------------------------- | ------------------- | ------------------------------- |
| Henri Rousseau (wd:Q156386) | movement (wdt:P135) | post-impressionism (wd:Q166713) |
| Henri Rousseau (wd:Q156386) | movement (wdt:P135) | naïve art (wd:Q281108)          |
| Henri Rousseau (wd:Q156386) | movement (wdt:P135) | primitivism (wd:Q848365)        |

[Tool]
Got 3 rows and 1 column:
| movement                        |
| ------------------------------- |
| post-impressionism (wd:Q166713) |
| naïve art (wd:Q281108)          |
| primitivism (wd:Q848365)        |

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the artistic movements associated with Henri Rousseau by querying the 'movement' (wdt:P135) property for his Wikidata entity (wd:Q156386). The query also optionally retrieves English labels for each movement, which is helpful for human readability but does not violate any rules since the IRIs are always included. The answer is accurate, complete, and follows all the guidelines provided.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?deity ?deityLabel WHERE {
  ?deity wdt:P1049 wd:Q432 .
  OPTIONAL {
    ?deity rdfs:label ?deityLabel FILTER ( lang( ?deityLabel ) = "en" )
  }
}

Got 4 rows and 2 columns:
| deity                      | deityLabel        |
| -------------------------- | ----------------- |
| God in Islam (wd:Q2095353) | God in Islam (en) |
| Adam (wd:Q70899)           | Adam (en)         |
| Moses (wd:Q9077)           | Moses (en)        |
| Abraham (wd:Q9181)         | Abraham (en)      |

According to Wikidata, Islamic people (Muslims) pray to 'God in Islam' (Allah), represented by the entity wd:Q2095353, which is worshipped by Islam (wd:Q432).

[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 http://amur:7001

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]
Let's break down the question:

1. The question asks: "who do Islamic people pray to?"
   - "Islamic people" refers to followers of Islam (Muslims).
   - The question is about the entity that Muslims pray to.

2. We need to identify:
   - The entity for "Islam" or "Muslim".
   - The property that connects a religion or its followers to the entity they pray to (possibly "deity", "god", "object of worship", etc.).

Step 1: Search for the entity "Islam".

[Tool]
Top 10 entity alternatives:
1. Islam, also known as religion of the Muslims, Muslim religion, Mohammedanism, Islamic religion, al-’islām (wd:Q432): Abrahamic religion founded by Muhammad
2. Islam, also known as al-’islām, Islamic religion, religion of the Muslims, Mohammedanism, Muslim religion (wd:Q432): Abrahamic religion founded by Muhammad
3. Islam (wd:Q3802541): male given name
4. Islam (wd:Q15714033): Belgian political party
5. İslam İslamzadə (wd:Q39083558): politician
6. Islam Islam (wd:Q70618801): Tanzanian field hockey player, field hockey player
7. İslam (wd:Q109385182): suburb in Bahçesaray, Van, Turkey
8. İslam (wd:Q106304327): family name
9. Islam (wd:Q36909358): family name
10. Islam (wd:Q33541951): 1965 film by Svend Aage Lorentz

[Assistant]
The correct entity for "Islam" as a religion is wd:Q432.

Next, I need to find the property that connects a religion to the entity it is directed towards in prayer. This is likely to be "deity", "god", or "object of worship". I will search for properties related to "deity" for the entity Islam.

[Tool]
Top 10 property alternatives:
1. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as p/wdt): founder or co-founder of this organization, religion, place or entity, creator
2. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as p/wdt): maker of this creative work or other object (where no more specific property exists)
3. 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
4. The Concise Oxford Dictionary of World Religions ID, also known as CODWR ID, Concise Oxford Dictionary of World Religions ID, Dictionary Oxford of the Concise World Religions ID, Oxford Concise Dictionary of World Religions ID, Religions of the World Concise Oxford Dictionary ID (wd:P12639 as p/wdt): identifier for a subject page in The Concise Oxford Dictionary of World Religions
5. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as p/wdt): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
6. Guardian topic ID, also known as Guardian, The Guardian topic, The Guardian topic ID (wd:P3106 as p/wdt): identifier for a topic at the Guardian newspaper website
7. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as p/wdt): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”
8. has use, also known as utility, used in, used for, used as, use (wd:P366 as p/wdt): main use of the subject (includes current and former usage)
9. 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)
10. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))

No other items found

[Assistant] The search for a "deity" property directly related to Islam did not return a relevant property. However, in Wikidata, the property "deity" is commonly used for religions to indicate the god or gods they worship. I will search for the property "god" to see if there is a more appropriate property.

[Tool]
Top 10 property alternatives:
1. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as p/wdt): maker of this creative work or other object (where no more specific property exists)
2. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as p/wdt): founder or co-founder of this organization, religion, place or entity, creator
3. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
4. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
5. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
6. 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
7. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
8. 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
9. has use, also known as utility, used in, used for, used as, use (wd:P366 as p/wdt): main use of the subject (includes current and former usage)
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant]
The search for "god" also did not return a relevant property. However, in Wikidata, the property "deity" (wdt:P140) is commonly used for religions to indicate the god or gods they worship. I will check if Islam (wd:Q432) has a value for the property "deity" (wdt:P140).

I will list triples where the subject is wd:Q432 (Islam) and the property is wdt:P140 (deity).

[Tool] Got no rows and 3 columns

[Assistant]
Listing the "deity" property for Islam (wd:Q432) returned no results. However, it is well-known that Muslims pray to Allah, and Wikidata may have this information under a different property or as a statement elsewhere.

Next, I will search for properties related to "object of worship" for Islam to see if there is a more appropriate property.

[Tool]
Top 10 property alternatives:
1. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. has use, also known as utility, used in, used for, used as, use (wd:P366 as p/wdt): main use of the subject (includes current and former usage)
4. item operated, also known as fleet, item used, operated, operates, operator of (wd:P121 as p/wdt): equipment, installation or service operated by the subject, uses
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. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
7. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
8. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as p/wdt): what the place, monument, memorial, or holiday, commemorates, main subject
9. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as p/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
10. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as p/wdt): location where a group or organization was formed, location of creation

No other items found

[Assistant]
The search for "object of worship" did not return a relevant property either. Since "deity" (wdt:P140) is the standard property for this information and is used for other religions, but not filled for Islam, I will try to search for entities that are the object of the "deity" property for other religions, specifically for "Allah", to see if it is linked to Islam in some way.

I will search for the entity "Allah" in Wikidata.

[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 most relevant entities are:
- wd:Q234801 ("Allah", Arabic word for God)
- wd:Q2095353 ("God in Islam", Islamic conception of God)

To be precise, "God in Islam" (wd:Q2095353) is the theological concept, while "Allah" (wd:Q234801) is the term. Muslims pray to "Allah", who is the God in Islam.

Now, I will check if there is a property connecting Islam (wd:Q432) to Allah (wd:Q234801) or God in Islam (wd:Q2095353), possibly via "deity" (wdt:P140), by listing all properties between Islam and Allah.

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject         | property           | object                     |
| --------------- | ------------------ | -------------------------- |
| Islam (wd:Q432) | creator (wdt:P170) | God in Islam (wd:Q2095353) |

[Assistant]
There is a triple connecting Islam (wd:Q432) to "God in Islam" (wd:Q2095353) via the property "creator" (wdt:P170). While "creator" is not the ideal property for "object of worship", it is used here to indicate the deity associated with Islam.

To answer the question, I will construct a SPARQL query that returns the entity that Islam (wd:Q432) is connected to via "creator" (wdt:P170), which in this case is "God in Islam" (wd:Q2095353). I will also optionally return the label for human readability.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query uses the property 'creator' (wdt:P170) to link Islam (wd:Q432) to its deity, but this is not semantically correct. The property 'creator' is intended for creative works, not for religions and their deities. The correct property to use is 'deity' (wdt:P140), which links religions to their deities. Please revise the SPARQL query to use wdt:P140 instead of wdt:P170 to ensure the answer is accurate and properly sourced from the knowledge graph.

[Assistant]
Thank you for your feedback. You are correct: the property wdt:P140 ("deity") is the semantically correct property for linking a religion to the entity it worships. Although my previous searches did not show a triple between Islam (wd:Q432) and a deity via wdt:P140, it is best practice to use this property for accuracy and consistency.

I will now write a SPARQL query that asks for the deity (wdt:P140) of Islam (wd:Q432), and optionally return the label for human readability. This will ensure the answer is sourced using the correct property, even if the result is empty.

Here is the revised query:

[Tool] Got no rows and 2 columns

[Assistant]
The revised query using the correct property wdt:P140 ("deity") for Islam (wd:Q432) returned no results. This means that, as of now, Wikidata does not explicitly state the deity of Islam using the proper "deity" property, even though it is the correct modeling.

For completeness and transparency, here is the SPARQL query that should be used:

SELECT ?deity ?deityLabel WHERE {
  wd:Q432 wdt:P140 ?deity .
  OPTIONAL { ?deity rdfs:label ?deityLabel FILTER (lang(?deityLabel) = "en") }
}

However, since this query returns no results, Wikidata currently does not provide a direct answer using the correct property. If you need a properly sourced answer from the knowledge graph, it is not available at this time.

Would you like me to attempt a broader query, such as retrieving the deities of all Abrahamic religions, or would you like to proceed with this as the final answer?

[User]
Feedback (status=refine):
The system correctly identifies that the direct property for 'deity' (wdt:P140) is not filled for Islam (wd:Q432) in Wikidata, and transparently reports the lack of a direct answer. However, the user's question is straightforward and expects the answer 'Allah' (the deity worshipped in Islam). Since Wikidata may model this information differently (e.g., via statements about the concept of Allah or via other properties), the system should attempt a broader or alternative query. For example, it could look for entities that are described as the main deity of Islam, or examine the item for 'Allah' (wd:Q3250916) and its relationship to Islam. The system should not stop at the first missing property but should try to retrieve the answer using alternative modeling in Wikidata.

[Assistant]
Thank you for the feedback. Since the direct "deity" property is not filled for Islam, I will try alternative approaches:

Step-by-step plan:
1. Identify the main entity for "Allah" in Wikidata.
2. Examine how "Allah" is described in relation to Islam—perhaps as "main deity of", "religion", or similar.
3. Search for properties of "Allah" that connect it to Islam, or for statements on "Islam" that mention "Allah" in another way.

Step 1: Search for the main entity for "Allah". Previously, we saw wd:Q234801 ("Allah", Arabic word for God) and wd:Q2095353 ("God in Islam"). However, there is also wd:Q3250916 ("Allah" as the Islamic conception of God). I will confirm which is best by searching "Allah" again and checking their descriptions.

[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 most relevant entities for "Allah" are:
- wd:Q234801: "Allah", Arabic word for God
- wd:Q2095353: "God in Islam", Islamic conception of God

"God in Islam" (wd:Q2095353) is likely the best fit for the theological concept, while wd:Q234801 is the term itself.

Step 2: I will now check what properties link "God in Islam" (wd:Q2095353) to Islam (wd:Q432), such as "religion", "main religion", "instance of", or other statements.

[Tool]
Got 356 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                              | object                                                                                |
| -------------------------- | ------------------------------------- | ------------------------------------------------------------------------------------------------- |
| God in Islam (wd:Q2095353) | instance of (wdt:P31)                 | deity (wd:Q178885)                                                                                |
| God in Islam (wd:Q2095353) | Commons category (wdt:P373)           | God in Islam                                                                                |
| God in Islam (wd:Q2095353) | image (wdt:P18)                       | <http://commons.wikimedia.org/wiki/Special:FilePath/Allah%20Masjid%20an-Nabawi%20Calligraphy.svg> |
| God in Islam (wd:Q2095353) | described by source (wdt:P1343)       | Encyclopædia Universalis (wd:Q1340194)                                                            |
| God in Islam (wd:Q2095353) | maintained by WikiProject (wdt:P6104) | WikiProject Sufism (wd:Q125577596)                                                                |
| God in Islam (wd:Q2095353) | topic's main category (wdt:P910)      | wd:Q45080006                                                                                |
| God in Islam (wd:Q2095353) | name in native language (wdt:P1559)   | اللهُ (ar)                                                                                |
| God in Islam (wd:Q2095353) | named after (wdt:P138)                | Uluhiyah (wd:Q12523179)                                                                           |
| God in Islam (wd:Q2095353) | said to be the same as (wdt:P460)     | God (wd:Q190)                                                                                |
| God in Islam (wd:Q2095353) | has characteristic (wdt:P1552)        | 99 names of Allah (wd:Q83875)                                                                     |
| ...                        | ...                                   | ...                                                                                |

[Assistant]
From the listed properties, "God in Islam" (wd:Q2095353) is an instance of "deity" and has various other properties, but none directly link it to Islam via a "religion" or "main religion" property.

Next, I will check if there is a property like "religion" or "religious tradition" that links "God in Islam" to Islam. I will search for properties of "God in Islam" with the keyword "religion".

[Tool]
Top 10 property alternatives:
1. worshipped by, also known as deity of (wd:P1049 as p/wdt): religion or group/civilization that worships a given deity, part of
2. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
3. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as p/wdt): topic of which this item is an aspect; item that offers a broader perspective on the same topic
4. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
5. enemy, also known as opponent, rival, archvillain, archrival, archnemesis (wd:P7047 as p/wdt): opponent character or group of this fictive character or group, significant person
6. Encyclopaedia Islamica ID, also known as Islam Encyclopaedia ID, Islamica Encyclopaedia ID, Islamic Encyclopaedia ID, islo (wd:P11926 as p/wdt): identifier of an article from the Encyclopaedia Islamica
7. 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
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
10. said to be the same as, also known as may be, the same as, synonymous with, same as, same (wd:P460 as p/wdt): this item is said to be the same as that item, though this may be uncertain or disputed

No other items found

[Assistant] The property "worshipped by" (wd:P1049) is promising. It links a deity to the religion or group that worships it. I will now list the values for "worshipped by" (wdt:P1049) for "God in Islam" (wd:Q2095353) to see if Islam is included.

[Tool]
Got 1 row and 3 columns:
| subject                    | property                  | object          |
| -------------------------- | ------------------------- | --------------- |
| God in Islam (wd:Q2095353) | worshipped by (wdt:P1049) | Islam (wd:Q432) |

[Assistant]
We have found a direct and semantically correct connection: "God in Islam" (wd:Q2095353) is "worshipped by" (wdt:P1049) "Islam" (wd:Q432).

To answer the question "who do Islamic people pray to?", I will write a SPARQL query that returns the entity worshipped by Islam using this property, and optionally include the label for clarity.

[Tool] Stopped generation process