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          |

Robert Irvine was born in 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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] where does robert irvine come from?

[Assistant]
Okay, I need to find where Robert Irvine comes from, which means I need to find his place of birth or country of origin.

First, I'll search for the entity "Robert Irvine" to get its Wikidata ID.

[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

[Assistant]
There are multiple Robert Irvines. Based on the context, I'm looking for the celebrity chef. So, I'll use the entity `wd:Q13603754`.

Now, I need to find the property that represents "place of birth" or "country of origin". I'll search for properties related to "birth" for the entity `wd:Q13603754`.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
3. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
6. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
7. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as p/wdt): language or languages a person has learned from early childhood, languages spoken, written or signed
10. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)

No other items found

[Assistant] The property "place of birth" (`wdt:P19`) seems appropriate. Now I can construct a SPARQL query to find the place of birth of Robert Irvine (`wd:Q13603754`).

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

[Assistant] The query returns Salisbury (`wd:Q160642`). I can add a label to the query to make the answer more readable.

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

[Assistant] Now I have the place of birth and its label. I can provide the final answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?headquartersLabel ?headquarters WHERE {
  wd:Q505922 wdt:P159 ?headquarters .
  ?headquarters rdfs:label ?headquartersLabel .
  FILTER ( LANG( ?headquartersLabel ) = "en" ) .
}

Got 1 row and 2 columns:
| ?headquartersLabel | ?headquarters        |
| ------------------ | -------------------- |
| Stockholm          | Stockholm (wd:Q1754) |

The headquarters of Electrolux is located 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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] where is electrolux based?

[Assistant]
Okay, I need to find the headquarters or location of Electrolux.
First, I'll search for the entity "Electrolux" in Wikidata.

[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 likely entity is "Electrolux, also known as AB Electrolux (wd:Q505922): Swedish multinational manufacturer and marketer of home appliances". I will use this entity to find its headquarters location. I will search for the property "headquarters location" 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. 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
5. 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
6. LittleSis organization ID, also known as LittleSis organisation ID, LittleSis organisation identifier, LittleSis organization identifier (wd:P3393 as p/wdt): organisation in the LittleSis who-knows-who of government and business database
7. 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
8. chief executive officer, also known as executive director, CEO, chief executive (wd:P169 as p/wdt): highest-ranking corporate officer appointed as the CEO within an organization, director / manager, corporate officer
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
10. LinkedIn company or organization ID, also known as https://www.linkedin.com/company/, www.linkedin.com/company/, LinkedIn showcase, LinkedIn school ID, LinkedIn organization ID (wd:P4264 as p/wdt): identifier for an official company, school, organisation page, or showcase page, on LinkedIn, website username or ID

No other items found

[Assistant] The property I'm looking for is "headquarters location (wd:P159)". Now I will construct a SPARQL query to find the headquarters location of Electrolux.

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

[Assistant] The query failed because of the SERVICE wikibase:label. I will remove it and use rdfs:label directly.

[Tool]
Got 1 row and 2 columns:
| ?headquartersLabel | ?headquarters        |
| ------------------ | -------------------- |
| Stockholm          | Stockholm (wd:Q1754) |

[Assistant] The headquarters of Electrolux is Stockholm (wd:Q1754).

[Tool] Stopped generation process


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

The zip code for Azle, Texas is 76020.

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

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

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

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

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

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

[Assistant] I need to find the zip code for Azle, Texas. I can start by searching for 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 first result, Azle, Texas (wd:Q793929), seems to be what I'm looking for. Now I need to find the property for zip code. I can search for properties of Azle, Texas related to 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 p/wdt): identifier assigned by postal authorities for the subject area or building
2. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as p/wdt): identifier dedicated to subject city by the area communication network
3. FIPS 55-3 (locations in the US), also known as fips code for US locations, Federal Information Processing Standard 55-3, FIPS 55-3 (wd:P774 as p/wdt): identifier for places in the United States per former Federal Information Processing Standard FIPS 55-3
4. social media followers, also known as number of subs, number of subscribers, sub count, sub number, subscriber number (wd:P8687 as p/wdt): number of subscribers on a particular social media website (use ... in time" and property for account. For Twitter, use numeric id.
5. UN/LOCODE, also known as LOCCODE, LOCODE, UNECE location code, UNECE LOCODE, United Nations location code (wd:P1937 as p/wdt): geographic location code maintained by UNECE
6. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
7. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
8. FactGrid item ID, also known as FG ID, FactGrid ID (wd:P8168 as p/wdtn/wdt): identifier for an item in FactGrid
9. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
10. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as p/wdtn/wdt): identifier in the GeoNames geographical database

No other items found

[Assistant] The first result, postal code (wd:P281), seems to be the correct property. Now I can construct the SPARQL query.

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

[Assistant] The zip code for Azle, Texas is 76020.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q79 wdt:P37 ?language .
}

Arabic

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

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

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

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

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

[User] what language is mainly spoken in egypt?

[Assistant]
I need to find the language that is mainly spoken in Egypt.
First, I need to find the entity for Egypt.

[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 most likely entity is "Egypt (wd:Q79): country in Northeast Africa and Southwest Asia".
Now I need to find the property that represents the official language or main language spoken in a country. I will search for "language spoken in" or "official language".

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
4. name in native language, also known as native name (wd:P1559 as p/wdt): name of a person in their native language, name
5. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
6. pronunciation audio, also known as listen, audio pronunciation (wd:P443 as p/wdt): audio file with pronunciation, audio
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. population, also known as inhabitants, human population (wd:P1082 as p/wdt): number of people inhabiting the place; number of people of subject
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. 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

No other items found

[Assistant] The property "official language (wd:P37)" seems appropriate. Now I will construct a SPARQL query to find the official language of Egypt.

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

[Assistant] The query returned Arabic (wd:Q13955) as the official language of Egypt.

[Tool] Stopped generation process


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

Portuguese

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

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

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

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

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

[User] what do portuguese people speak?

[Assistant] I need to find the language spoken by Portuguese people. I can start by searching for the entity "Portuguese people" and then find the property that relates people to the language they speak.

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

[Assistant] The entity "Portuguese people" is wd:Q178630. Now I need to find the property that relates people to the language they speak. I can use `search_property_of_entity` to find properties of wd:Q178630 related to language.

[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) seems appropriate. Now I can construct the SPARQL query.

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

[Assistant] The query returns wd:Q5146, which is the Portuguese language.

[Tool] Stopped generation process


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

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

The Cleveland Cavaliers have drafted the following players: Larry Sanders, LeBron James, Eddie Jordan, Reggie Geary, DeSagana Diop, Luke Jackson, Carlos Boozer, Smush Parker, Aleksandar Pavlović, Luke Harangody, Semih Erden, Christian Eyenga, Kevin Jones, Carrick Felix, Sergey Karasev, Joe Harris, Andrew Wiggins, Anthony Bennett, Kyrie Irving, Tristan Thompson, Dion Waiters, Tyler Zeller, Kevin Pangos, Cedi Osman, Rakeem Christmas, Ante Žižić, Collin Sexton, Kevin Porter Jr., Isaac Okoro, Ochai Agbaji, Emoni Bates, Craig Ehlo, John Bagley, Ron Harper, Danny Ferry, Jim Brewer, Roy Hinson, Brad Daugherty, Hot Rod Williams, Mark Price, John Morton, Randolph Keys, World B. Free, Phil Hubbard, Mike Bratz, Geoff Huston, Foots Walker, John Lambert, Clarence Kea, Paul Thompson, Scott Wedman, Campy Russell, Jim Chones, Nate Thurmond, Bingo Smith, Austin Carr, Winston Bennett, Mickey Dillard, Ben McDonald, and many more.

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

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

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

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

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

[User] who did the cleveland cavaliers draft?

[Assistant] I need to find out what entities and properties are relevant to the Cleveland Cavaliers and the concept of drafting. I'll start by searching for the Cleveland Cavaliers entity.

[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 Cleveland Cavaliers entity is `wd:Q162990`. Now I need to find a property related to drafting players. I'll search for properties of the Cleveland Cavaliers related to "draft".

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. category for members of a team, also known as category for players, category for team members (wd:P6112 as p/wdt): Wikimedia category for players playing for a sports team, topic's main category
9. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
10. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person

No other items found

[Assistant] The properties returned don't seem to directly relate to drafting. I'll try a more general search for properties related to "player" and "team".

[Tool]
Top 10 property alternatives:
1. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): position or specialism of a player on a team
2. maximum number of players, also known as maximum players, max players, number of players, maximum, players max, players, maximum number (wd:P1873 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): maximum numbers of players of a game
3. participant, also known as suspect, player, party, participants, has participant (wd:P710 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
4. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): musical instrument that a person plays or teaches or used in a music occupation, uses
5. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): sports teams or clubs that the subject represents or represented, member of
6. represents, also known as represents organisation, stands for, symbolises, symbolizes, team for (wd:P1268 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): organization, individual, or concept that an entity represents
7. participating team, also known as teams (wd:P1923 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): like 'Participant' (P710) but for teams. For an event like a cyc...member of sports team' (P54) as a qualifier for the individuals), participant
8. minimum number of players, also known as minimum players, players, minimum number, number of players, minimum (wd:P1872 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): minimum numbers of players of a game
9. Teams.by player ID (wd:P6321 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): Teams.by identifier for an association football (soccer) player
10. category for members of a team, also known as category for players, category for team members (wd:P6112 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): Wikimedia category for players playing for a sports team, topic's main category

[Assistant] `wdt:P54` (member of sports team) seems relevant. I'll also search for "draft" as a property to see if I can find a more specific property.

[Tool]
Top 10 property alternatives:
1. draft, also known as draught (wd:P2262 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): 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 pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): finished work of art for which the subject is a preliminary study, design, or conceptual drawing
3. drafted by (wd:P647 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): which team the player was drafted by
4. draft pick number, also known as draft number (wd:P1836 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): 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 pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): identifier for a basketball player in the database of The Draft Review
6. DraftExpress ID, also known as draftexpress.com ID (wd:P3533 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): identifier for a basketball player at draftexpress.com
7. Homebrew formula name, also known as brew (wd:P8443 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): 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 pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): 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 pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): 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 pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): method (or type) of distribution for the subject

[Assistant] `wdt:P647` (drafted by) and `wdt:P1836` (draft pick number) are relevant. I'll use `wdt:P647` to find the players drafted by the Cleveland Cavaliers.

[Tool]
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) |

[Assistant] This query gives me the players drafted by the Cleveland Cavaliers. I'll add labels to the player.

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

[Assistant] The `SERVICE` keyword is not supported. I'll use `rdfs:label` instead.

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

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movement WHERE {
  wd:Q156386 wdt:P135 ?movement .
}

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

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

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

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

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

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

[User] what artistic style did henri rousseau work in?

[Assistant] Okay, let's start by identifying 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 primary entity for Henri Rousseau is `wd:Q156386`. Now, let's find the property that describes the artistic style of an artist.

[Tool]
Top 10 property alternatives:
1. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
2. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as p/wdt): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
3. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
4. Artsy artist ID, also known as Artsy artist identifier, Artsy id (wd:P2042 as p/wdt): identifier at the Artsy website
5. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as p/wdt): alias used by someone (for nickname use P1449), name
6. artist files at, also known as has artist files in, has artist files at, has artist file in, has artist file at, artist files in (wd:P9493 as p/wdt): institution or collection that holds artist files about the subject, documentation files at
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. Web Gallery of Art artist ID, also known as WGA artist id, WGA ID, Web Gallery of Art identifier, Web Gallery of Art ID (wd:P1882 as p/wdt): identifier for an artist in the Web Gallery of Art
9. signature, also known as signature image, image of signature, facsimiles, autograph (wd:P109 as p/wdt): image of a person's signature, image
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant] The property `movement` (wd:P135) seems like the most appropriate property for artistic style. Let's construct a SPARQL query to find the artistic movements associated with Henri Rousseau.

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

[Assistant] The query returns three artistic movements: post-impressionism, naïve art, and primitivism. Let's present these as the answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?entity WHERE {
  BIND( wd:Q2095353 AS ?entity )
}

Allah (wd:Q2095353)

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

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

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

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

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

[User] who do islamic people pray to?

[Assistant] I need to find the entity that represents who Islamic people pray to. I will use the `search_entity` tool to search for "who islamic people pray to".

[Tool]
Top 10 entity alternatives:
1. People Who Don’t Go to Museums (wd:Q58584589)
2. [People who are too small] (wd:Q68556675): scientific article published on 01 February 1966
3. Reaching out to people who hoard (wd:Q48467141): scientific article published in March 2010
4. Prayers to Those Who Wait (wd:Q129691853): scholarly article published in April 2008
5. Whom to befriend to influence people (wd:Q129718471): scholarly article published in March 2020
6. a call to invite people to pray (wd:L1222872-S1)
7. praying place for islamic people (wd:L1216639-S1)
8. The People Who Grinned Themselves to Death (wd:Q3284324): album by The Housemartins
9. Dealing with people who fail to produce (wd:Q48917597): scientific article published in October 1989
10. Helping people who want to stop smoking (wd:Q68042108): scientific article published on 01 September 1991

[Assistant] The search results are not helpful. I will try a different approach. I will search for "God in Islam".

[Tool]
Top 10 entity alternatives:
1. God in Islam, also known as Allah, God (Islam), God (wd:Q2095353): Islamic conception of God
2. God in Islam (wd:L305148-S2)
3. Tawakkul, also known as confidence in God (Islam), confidence in God of Islam, reliance on God (Islam), reliance on God of Islam, Tavakul (wd:Q3350606): Reliance on Allah in worldly matters
4. divine inspiration in Islam, also known as divine inspiration (Islam), Ilham, Ilhām, Ilham (Islam), Ilham (Sufism) (wd:Q4689012): inspiration by God in Islamic religion
5. love for God in Islam, also known as mahabbah, loving God in Islam, God's love in Islam, mahabba (wd:Q101415904): loving Allah by Muslims is a worship practice in Islam
6. Promise of God in Islam, also known as Pledge of God (Islam), Waadullah, Waadu Allah, Waad Allah, Promises of God (Islam) (wd:Q126887909): God promise and pledge in Islam
7. Allah, God in Islam (wd:L1313008-S1)
8. Allah, God in Islam (wd:L1312978-S1)
9. Allah (God in Islam) (wd:L489839-S1)
10. 99 names of Allah, also known as Names of God in Islam (wd:Q83875): names of God described in Islam

[Assistant] The search result "God in Islam, also known as Allah, God (Islam), God (wd:Q2095353): Islamic conception of God" looks promising. I will use wd:Q2095353 as the entity.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?attraction ?attractionLabel WHERE {
  ?attraction wdt:P31 wd:Q570116 .
  ?attraction wdt:P131 wd:Q60 .
  OPTIONAL {
    ?attraction rdfs:label ?attractionLabel .
    FILTER ( LANG( ?attractionLabel ) = "en" )
  }
}

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

This query returns tourist attractions located in New York City: SELECT ?attraction ?attractionLabel WHERE { ?attraction wdt:P31 wd:Q570116 . ?attraction wdt:P131 wd:Q60 . OPTIONAL {?attraction rdfs:label ?attractionLabel . FILTER (LANG(?attractionLabel) = "en")} }

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

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

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

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

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

[User] what can do in new york?

[Assistant] I need to understand what you are asking. Are you asking about activities, places, or something else related to New York? I will start by searching for the entity "New York" to make sure I have the correct context.

[Tool]
Top 10 entity alternatives:
1. New York City, also known as Capital of the World, Big Apple, the five boroughs, The City So Nice They Named It Twice, NY, NY (wd:Q60): most populous city in the United States
2. New York, also known as New York state, New York, United States, US-NY, The Empire State, Empire State (wd:Q1384): state of the United States of America
3. New York, also known as US-NY, The Empire State, State of New York, NY state, NYS (wd:Q1384): state of the United States of America
4. Newburgh, also known as Newburgh, New York, Newburgh, NY (wd:Q1044808): city in Orange County, New York, United States
5. New York, New York (wd:Q743367): 1977 American musical-drama film directed by Martin Scorsese
6. Niu-York, also known as New York, Oleksandrivske, Novgorodskoye, Novgorodske, New-York (wd:Q4322522): rural settlement in Bakhmut Raion, Donetsk Oblast (province), Ukraine
7. New York, also known as New York (magazine), Vulture (blog), New York Magazine (wd:Q1507987): American magazine on life, culture, politics, and style, focusing on New York City
8. Province of New York, also known as Colony of New York, New York, New-York, New York Colony (wd:Q769668): former colony in North America, part of Great Britain
9. New York-New York Hotel and Casino, also known as New York, New York, New York-New York Hotel & Casino (wd:Q1429071): hotel and casino in Las Vegas
10. Theme from New York, New York, also known as New York, New York (wd:Q2039364): song written and composed by Fred Ebb and John Kander, originally recorded by Liza Minnelli and released in 1977

[Assistant] There are multiple entities named "New York". I will assume the user is asking about New York City (wd:Q60). I will now search for properties related to New York City to understand what kind of information I can retrieve.

[Tool]
Top 10 property alternatives:
1. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, 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. follows, also known as prev, successor to, succeeds to, succeeds, split from (wd:P155 as p/wdt): immediately prior item in a series of which the subject is a par... preceding item, e.g. political offices, use "replaces" (P1365)]
4. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
5. 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
6. hashtag, also known as Flickr tag, tag, Twitter hashtag (wd:P2572 as p/wdt): reference keyword associated with this item for online communiti...lude the "#" symbol which is often used as a prefixed indicator)
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. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as p/wdt): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
10. 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

No other items found

[Assistant] The property "instance of" (wdt:P31) seems relevant. I will search for instances of things that New York City is.

[Tool]
Got 1 row and 3 columns:
| subject                | property              | object                                  |
| ---------------------- | --------------------- | --------------------------------------- |
| New York City (wd:Q60) | instance of (wdt:P31) | city in the United States (wd:Q1093829) |

[Assistant] New York City is a city in the United States. I will now search for properties related to tourism or attractions in New York City.

[Tool]
Top 10 property alternatives:
1. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
2. 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
3. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
4. 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
5. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
6. shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as p/wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.
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. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as p/wdt): height of the item (geographical object) as measured relative to sea level
10. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as p/wdt): body of water on or next to which a place is located, location

No other items found

[Assistant] None of the properties directly relate to attractions. I will try a more general approach and search for "tourist attraction" to see if I can find a suitable property.

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

[Assistant] I found "tourist attraction" (wd:Q570116). Now I will search for properties that link New York City to tourist attractions.

[Tool]
Top 10 property alternatives:
1. 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
2. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as p/wdt): body of water on or next to which a place is located, location
3. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
4. panoramic view, also known as panoramic image, panorama view, image panoramic (wd:P4291 as p/wdt): panoramic view of the object, view
5. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as p/wdt): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with
6. museum-digital place ID (wd:P9957 as p/wdt): identifier for a place in museum-digital's md:term vocabulary
7. category of associated people, also known as key people category, category of people associated with this place, category for people associated with this place (wd:P1792 as p/wdt): Wikimedia category for people associated with this place or organization, related category
8. aerial view, also known as overhead view, sky view, orthophotograph, orthophoto, aerial image (wd:P8592 as p/wdt): image of the subject taken from the air, video, image
9. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as p/wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)
10. nighttime view, also known as view at night, twilight image, night view, night time view, nighttime image (wd:P3451 as p/wdt): image at night or in twilight, image

No other items found

[Assistant] The property "located in the administrative territorial entity" (wdt:P131) could be used to find tourist attractions located in New York City. I will try this approach.

[Tool]
Got 2 rows and 1 column:
| ?attraction                                           |
| ----------------------------------------------------- |
| National September 11 Memorial & Museum (wd:Q1136137) |
| Statue of Liberty (wd:Q9202)                          |

[Assistant] The query returns some results. I will add labels to the results to make them more readable.

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

[Assistant] The query failed because the `SERVICE wikibase:label` is not supported. I will use `rdfs:label` instead.

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

[Assistant] I have a query that returns tourist attractions in New York City.

[Tool] Stopped generation process