PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?spouse ?position WHERE {
  OPTIONAL {
    wd:Q17515 wdt:P26 ?spouse
  }
  OPTIONAL {
    wd:Q17515 wdt:P413 ?position
  }
}

Diego Maradona's spouse was Claudia Villafañe (wd:Q15732807). His positions/specialties on the team were midfielder (wd:Q193592) and forward (wd:Q280658).

[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 is Diego Maradona's spouse and his position/specialty on the team?

[Assistant]
Let's break down the question:

1. We need to identify Diego Maradona's spouse(s).
2. We also need to find his position or specialty on the team (likely his playing position).

First, I will search for the entity "Diego Maradona" in Wikidata to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Diego Maradona, also known as Diego Armando Maradona, Maradona (wd:Q17515): Argentine football player and manager (1960–2020), association football manager, association football player, actor
2. Diego Maradona, also known as Maradona, Diego Armando Maradona (wd:Q17515): Argentine football player and manager (1960–2020), association football manager, association football player, actor
3. Diego Maradona (wd:Q63457407): 2019 British documentary film by Asif Kapadia
4. Diego Kato Maradona, also known as Kentarō Katō (wd:Q17350183): Japanese association football player, association football player, owarai tarento, tarento
5. Diego Maradona Sr., also known as Chitoro, Don Diego Maradona, Diego Maradona Senior (wd:Q105952378): father of Diego Maradona, factory worker
6. Stadio Diego Armando Maradona, also known as Diego Armando Maradona Stadium, Maradona Stadium, Stadio Maradona (wd:Q82709): multi-use stadium in Naples, Italy
7. Estadio Diego Armando Maradona, also known as Estadio Argentinos Juniors (wd:Q1369186): football stadium in Buenos Aires, Argentina
8. Diego Sinagra, also known as Diego Armando Maradona Sinagra Junior, Sinagra Junior, Diego Armando Maradona Sinagra, Cristiana Sinagra (wd:Q1199119): Italian footballer and coach, association football player
9. Diego Armando Maradona Cup (wd:Q100446887): Cup of the Liga Profesional de Fútbol Argentino 2020
10. I Am Diego Maradona (wd:Q20111157): 2015 film directed by Bahram Tavakkoli

[Assistant]
The correct entity for Diego Maradona, the Argentine football player and manager, is wd:Q17515.

Next, I will search for properties related to "spouse" and "position" (or specialty on the team) for this entity.

[Tool]
Top 10 property alternatives:
1. 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
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt): full name of a person at birth, if different from their current, generally used name, name
4. 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)
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. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
7. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
8. 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)
9. parent, also known as guardian, parents (wd:P8810 as p/wdt): parent of the subject. Only use if neither father (P22) nor mother (P25) nor stepparent (P3448) is applicable., relative
10. family name, also known as clan name, last name, surname (wd:P734 as p/wdt): part of full name of person, name

No other items found

[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 p/wdt): position or specialism of a player on a team
2. 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)
3. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as p/wdt): sports teams or clubs that the subject represents or represented, member of
4. 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
5. 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
6. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
7. 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
8. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. mass, also known as displacement, molecular mass, molecular weight, weight (wd:P2067 as p/wdt): mass (in colloquial usage also known as weight) of the item

No other items found

[Tool]
Got 2 rows and 4 columns:
| spouse                           | spouseLabel            | position                | positionLabel   |
| -------------------------------- | ---------------------- | ----------------------- | --------------- |
| Claudia Villafañe (wd:Q15732807) | Claudia Villafañe (en) | midfielder (wd:Q193592) | midfielder (en) |
| Claudia Villafañe (wd:Q15732807) | Claudia Villafañe (en) | forward (wd:Q280658)    | forward (en)    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves both Diego Maradona's spouse and his positions/specialties on the team by using OPTIONAL clauses for both properties. The answer accurately reflects the query results, and the query returns the IRIs as required. No further refinement is necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?stadium ?label WHERE {
  ?stadium wdt:P31 wd:Q1154710 .
  ?stadium wdt:P84 wd:Q1208016 .
  ?stadium rdfs:label ?label .
  FILTER ( CONTAINS( LCASE( ?label ) , "stadium" ) ) FILTER ( LANG( ?label ) = "en" )
}

The association football stadium designed by Foster + Partners that contains the word 'stadium' in its name is Lusail Stadium (wd:Q1186333).

[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] Which is the association football stadium for which Foster + Partners were architects and contains the word stadium in it's name?

[Assistant]
Let's break down the question:

1. We need to find an association football stadium (i.e., a stadium used for soccer).
2. The stadium must have "stadium" in its name.
3. The architects must be Foster + Partners.

Step 1: Find the entity for "Foster + Partners".
Step 2: Find the property for "architect".
Step 3: Find the entity for "association football stadium".
Step 4: Combine these to find stadiums with "stadium" in the name, designed by Foster + Partners, and used for association football.

Let's start by searching for "Foster + Partners" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Foster and Partners, also known as Foster Associates, Foster + Partners (wd:Q1208016): architectural firm based in London
2. Foster + Partners: The story of a practice (wd:Q130479458): 2021 academic chapter by Lorenzo Ciccarelli
3. Stereotomy and Architectural Design at Foster + Partners (wd:Q129808536): scholarly article published on 15 May 2018
4. Merkley + Partners (wd:Q6819645)
5. Maslansky + Partners (wd:Q30324348): communications consultancy in New York
6. Rabe + Partners (wd:Q107005240): architectural firm
7. Paul Davis + Partners (wd:Q7150173): British architectural firm
8. Wyn Thomas + Partners (wd:Q132764296): company
9. Rogers Stirk Harbour + Partners, also known as Richard Rogers Partnership (wd:Q6000974): British architectural firm
10. Sandler O'Neill and Partners, also known as Sandler O'Neill & Partners, Sandler O’Neill + Partners, L.P., (wd:Q7416400): American investment bank

[Assistant]
The correct entity for Foster + Partners is wd:Q1208016.

Next, let's find the property for "architect" to identify buildings designed by Foster + Partners.

[Tool]
Top 10 property alternatives:
1. designed by, also known as architect, designer, has designer (wd:P287 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): person or organization which designed the object, creator
2. architect, also known as architecture firm (wd:P84 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): person or architectural firm responsible for designing this building, designed by
3. Architectuurgids architect ID (wd:P3058 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for an architect in the Dutch architectuurgids.nl database
4. architectural style, also known as architecture, style of architecture (wd:P149 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): architectural style of a structure, movement
5. instruction set, also known as architecture, Instruction Set Architecture, ISA (wd:P1068 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): set of machine code instructions on which a processor architecture is based
6. landscape architect, also known as landscaper (wd:P7514 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): person or architectural firm that designed this outdoor area, possibly including landmarks and structures, creator
7. cover art by, also known as jacket art by, sleeve art by, designer, cover design by, cover artist (wd:P736 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): name of person or team creating cover artwork for book, record album, single record etc.
8. ArchWiki article (wd:P12873 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for an article on ArchWiki
9. structural engineer, also known as building engineer, engineer (wd:P631 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): person, group or organisation responsible for the structural engineering of a building or structure
10. Prazdne Domy architect ID, also known as prazdnedomy.cz ID (wd:P6811 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier of an architect in the Czech prazdnedomy.cz database

[Assistant]
There are two relevant properties:
- "designed by" (wd:P287)
- "architect" (wd:P84)

For buildings, "architect" (wd:P84) is more specific. Let's use that.

Next, let's find the entity for "association football stadium".

[Tool]
Top 10 entity alternatives:
1. association football venue, also known as association football stadium, association soccer stadium, association soccer venue, football stadium, soccer-specific stadium (wd:Q1154710): sports venue purposed mainly for association football (or soccer)
2. Tonga Football Association Stadium (wd:Q123018643): sports venue in Tonga
3. Pune District Football Association Stadium (wd:Q18389645): building in India
4. association football, also known as soccer, futebol, futbol, footy, footie (wd:Q2736): sport that is practiced between two teams of eleven players
5. association football federation, also known as association soccer federation, football association, soccer association, soccer federation (wd:Q1478443): governing body of association football (soccer)
6. Football association (wd:Q3240423): football tournament
7. association football (wd:Q743526): term used to distinguish most common type of football from others
8. association football (wd:L1263582-S1)
9. association football (wd:L358600-S1)
10. association football (wd:L42427-S1)

[Assistant]
The correct entity for "association football stadium" is wd:Q1154710.

Now, let's summarize what we have:
- Foster + Partners: wd:Q1208016
- architect property: wdt:P84
- association football stadium: wd:Q1154710

Next, we need to find stadiums (instances of wd:Q1154710) where Foster + Partners is the architect, and the name contains "stadium".

Let's construct a SPARQL query to find such stadiums.

[Tool]
Got 1 row and 1 column:
| stadium                      |
| ---------------------------- |
| Lusail Stadium (wd:Q1186333) |

[Tool]
Got 1 row and 2 columns:
| stadium                      | label               |
| ---------------------------- | ------------------- |
| Lusail Stadium (wd:Q1186333) | Lusail Stadium (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and complete. It retrieves association football stadiums (wd:Q1154710) designed by Foster + Partners (wd:Q1208016) whose English label contains the word 'stadium'. The query returns the IRI and the label, with the label being optional but included for clarity. The answer matches the query result, and all requirements are met. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?residence WHERE {
  VALUES ?residence {
    wd:Q649 wd:Q270 wd:Q1741 wd:Q156732 wd:Q761 wd:Q181376 wd:Q104725 wd:Q2044626 wd:Q12346669
  }
  ?residence wdt:P2046 ?area .
  FILTER ( ?area = 517.24 )
}

None of the residences of L.L. Zamenhof in Wikidata have a surface area of 517.24 recorded. The only entity with that surface area is Modum Municipality, which is unrelated to Zamenhof. The specific house associated with Zamenhof (Dzika 9) does not have a surface area property in Wikidata.

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

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

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

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

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

[User] What residence of L.L. Zamenhof has a surface area of 517.24?

[Assistant]
Let's break down the question:

1. We need to identify "L.L. Zamenhof" in Wikidata.
2. We need to find his residences.
3. We need to find which of those residences has a surface area of 517.24 (likely square meters, but let's check the property).
4. We need to return the IRI of that residence.

First, let's search for "L.L. Zamenhof" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. burial of L.L. Zamenhof (wd:Q12347089)
2. Dzika 9, also known as House of L.L. Zamenhof (wd:Q12346669)
3. Dr. L.L. Zamenhoflaan, Dordrecht (wd:Q19017089): street in Dordrecht, the Netherlands
4. L. L. Zamenhof, also known as Ludwig Lazarus Zamenhof, Ludoviko Lazaro Zamenhofo, Ludwig Zamenhof, Ludovico Lazzaro Zamenhof, L. M. Zamenhof (wd:Q11758): Polish-Jewish pysician and inventor of Esperanto (1859-1917), physician writer, Bible translator, esperantologist, ophthalmologist, philologist, Esperantist, translator, physician, inventor, linguist, poet
5. Léon & Lévy, also known as J. Lévy & Cie., Levy & fils, Lévy & fils, L.L. (wd:Q12033173): French printer and photograph editor specializing in stereoscopic views and picture postcards
6. Zamenhof (wd:Q25938691): family name
7. Zamenhof (wd:Q23927589)
8. Zamenhof (wd:Q18950689): street in Heemskerk, the Netherlands
9. Zamenhof (wd:Q40759853): scientific article published on April 17, 1977
10. Zamenhof Day, also known as Esperanto Book Day (wd:Q1024590): commemoration in Esperanto culture

[Assistant]
The correct entity for L.L. Zamenhof is wd:Q11758.

Next, let's find properties related to "residence" for this entity, so we can identify his residences.

[Tool]
Top 10 property alternatives:
1. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location
2. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
3. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
4. 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)
5. 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
6. 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
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. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
9. 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
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 relevant property for "residence" is wd:P551.

Now, let's find the residences of L.L. Zamenhof using this property.

[Tool]
Got 8 rows and 3 columns:
| subject                    | property             | object                  |
| -------------------------- | -------------------- | ----------------------- |
| L. L. Zamenhof (wd:Q11758) | residence (wdt:P551) | Moscow (wd:Q649)        |
| L. L. Zamenhof (wd:Q11758) | residence (wdt:P551) | Warsaw (wd:Q270)        |
| L. L. Zamenhof (wd:Q11758) | residence (wdt:P551) | Vienna (wd:Q1741)       |
| L. L. Zamenhof (wd:Q11758) | residence (wdt:P551) | Kherson (wd:Q156732)    |
| L. L. Zamenhof (wd:Q11758) | residence (wdt:P551) | Białystok (wd:Q761)     |
| L. L. Zamenhof (wd:Q11758) | residence (wdt:P551) | Hrodna (wd:Q181376)     |
| L. L. Zamenhof (wd:Q11758) | residence (wdt:P551) | Płock (wd:Q104725)      |
| L. L. Zamenhof (wd:Q11758) | residence (wdt:P551) | Veisiejai (wd:Q2044626) |

[Assistant]
L.L. Zamenhof's residences in Wikidata are: Moscow, Warsaw, Vienna, Kherson, Białystok, Hrodna, Płock, and Veisiejai.

Now, we need to check which of these has a surface area of 517.24. Let's search for the property related to "surface area" to identify the correct property to use.

[Tool]
Top 10 property alternatives:
1. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): area occupied by an object
2. has surface (wd:P10614 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the object is the 2-dimensional surface that partly or completely surrounds the subject in 3-dimensional space
3. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): part, aspect, or form of the item to which the claim applies
4. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): specialization of a person or organization; see P106 for the occupation, interested in
5. surface tension (wd:P3013 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): physical property of liquid
6. water area (wd:P8887 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): area/surface of a geographical entity that is covered by water, area
7. measured physical quantity, also known as measure of, measures, physical quantity, quantity (wd:P111 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): value of a physical property expressed as number multiplied by a unit
8. diameter, also known as ⌀, diametre (wd:P2386 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): diameter of a circular or spherical object
9. wing area (wd:P2112 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): area of an aircraft's wing surfaces, area
10. water as percent of area, also known as H₂O%, percent of area that is water (wd:P2927 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): which percentage of the territory of this item inside coast line...ternational bounderies is water. Use "percent" (Q11229)  as unit

[Assistant]
The property for "surface area" is wd:P2046.

Next, let's check which of the residences of L.L. Zamenhof have a surface area of 517.24 using this property.

[Tool] Got no rows and 1 columns

[Assistant]
None of the direct residence entities (cities or towns) of L.L. Zamenhof have a surface area of 517.24 in Wikidata. However, the question may refer to a specific building or address associated with Zamenhof, rather than the entire city.

From the initial entity search, there was an entity "Dzika 9, also known as House of L.L. Zamenhof" (wd:Q12346669), which could be a specific residence. Let's check if this entity has a surface area of 517.24.

[Tool]
Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                | property                       | object                                                                                |
| ---------------------- | ------------------------------ | ------------------------------------------------------------------------------------------------------ |
| Dzika 9 (wd:Q12346669) | coordinate location (wdt:P625) | POINT(20.995521 52.248121) (geo:wktLiteral)                                                            |
| Dzika 9 (wd:Q12346669) | image (wdt:P18)                | <http://commons.wikimedia.org/wiki/Special:FilePath/1900-proks-ul-dzika-warszawa.jpg>                  |
| Dzika 9 (wd:Q12346669) | owned by (wdt:P127)            | L. L. Zamenhof (wd:Q11758)                                                                             |
| Dzika 9 (wd:Q12346669) | schema:name                    | Dzika 9 (en)                                                                                |
| Dzika 9 (wd:Q12346669) | rdf:type                       | wikibase:Item                                                                                |
| Dzika 9 (wd:Q12346669) | rdfs:label                     | Dzika 9 (en)                                                                                |
| Dzika 9 (wd:Q12346669) | skos:altLabel                  | House of L.L. Zamenhof (en)                                                                            |
| Dzika 9 (wd:Q12346669) | skos:prefLabel                 | Dzika 9 (en)                                                                                |
| Dzika 9 (wd:Q12346669) | coordinate location (p:P625)   | s:Q12346669-8beff0b5-4fc9-16c4-4ac2-7afc5aff4a67                                                       |
| Dzika 9 (wd:Q12346669) | image (wdt:P18)                | <http://commons.wikimedia.org/wiki/Special:FilePath/Varsovio%2C%20Zamenhofa%205%2C%202017%2C%201.jpeg> |
| ...                    | ...                            | ...                                                                                |

[Tool] Got no rows and 3 columns

[Assistant]
The entity "Dzika 9, House of L.L. Zamenhof" (wd:Q12346669) does not have a surface area property directly recorded in Wikidata.

Since the direct city/town residences do not have this surface area, and the specific house entity also does not, let's check if there are any entities in Wikidata with a surface area of 517.24 that are related to L.L. Zamenhof, perhaps via ownership or another property.

I'll search for any entity with a surface area of 517.24 and see if it is connected to Zamenhof.

[Tool]
Got 1 row and 1 column:
| item                            |
| ------------------------------- |
| Modum Municipality (wd:Q484001) |

[Assistant]
The only entity in Wikidata with a surface area of 517.24 is Modum Municipality (wd:Q484001), which is not related to L.L. Zamenhof.

Based on the available data, there is no residence of L.L. Zamenhof in Wikidata with a surface area of 517.24. The closest match, "Dzika 9, House of L.L. Zamenhof," does not have a surface area property recorded.

Therefore, I cannot provide a satisfactory SPARQL query that answers the question as stated.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system's explanation is correct and complete. It attempted to find a residence of L.L. Zamenhof with a surface area of 517.24 by checking known residences and filtering for the specified area. Since no such data exists in Wikidata and the only entity with that area is unrelated, the answer is appropriately marked as not found. The SPARQL query is well-formed and follows the guidelines.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?winner WHERE {
  ?award rdfs:label "Ariel Rubinstein award" @en ; ?prop ?winner
}

There is no entity for 'Ariel Rubinstein award' or any similarly named award in Wikidata. Without a corresponding entity, it is not possible to construct a SPARQL query to find its winners. If you can provide an alternative name or more context, I can try searching again.

[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 has won Ariel Rubinstein award?

[Assistant]
Let's break down the question:

1. We need to identify the entity "Ariel Rubinstein award" in Wikidata.
2. We need to find the property that links an award to its winners (likely "award received" or "winner").
3. We will then construct a query to find all entities who have won the Ariel Rubinstein award.

First, I will search for the "Ariel Rubinstein award" entity in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Ariel Award, also known as Ariel Awards (wd:Q1546403): Mexican Academy of Film award
2. Ariel Rubinstein (wd:Q659305): university teacher, Israeli economist, economist
3. 66th Ariel Awards (wd:Q126827750)
4. 57th Ariel Awards (wd:Q28404230)
5. 59th Ariel Awards (wd:Q30904418)
6. 58th Ariel Awards (wd:Q24261058)
7. 55th Ariel Awards (wd:Q29831596)
8. 56th Ariel Awards (wd:Q29831119)
9. 65th Ariel Awards (wd:Q119824137)
10. 60th Ariel Awards (wd:Q54237573)

[Assistant]
It appears that there is no direct match for "Ariel Rubinstein award" as an entity in Wikidata. The search results mostly refer to the "Ariel Award," which is a Mexican film award, and to Ariel Rubinstein himself, who is an economist.

Before concluding, I will try searching for "Rubinstein award" to see if there is a more general or differently named entity for this award.

[Tool]
Top 10 entity alternatives:
1. L'Oréal-UNESCO Award For Women in Science, also known as Helena Rubinstein Women in Science Awards (wd:Q1786381): scientific award
2. award, also known as honour, prize, medal, honor, Awards and Prizes (wd:Q618779): something given to a person or a group of people to recognize their merit or excellence
3. achievement, also known as video game trophy, video game achievement, trophy, trophies, stamps (wd:Q2988681): meta-goal in a video game
4. Rubinstein (wd:Q24464021): family name
5. bestowing, also known as award, bestowal, grant, providing (wd:Q24301034): act of giving something as honour or gift
6. association football trophy or award, also known as award, football award, football trophy, trophy (wd:Q4493701): sports trophy or award
7. African Women in Agricultural Research and Development, also known as AWARD (wd:Q117863220): research institute
8. Association for Water and Rural Development, also known as AWARD (wd:Q132803457): nonprofit organization in AFB Hoedspruit, South Africa
9. Award (wd:Q98622114): scientific article published on 01 August 2020
10. Award (wd:Q84275778): scientific article published on 01 February 1984

[Assistant]
There is no entity in Wikidata specifically named "Ariel Rubinstein award" or "Rubinstein award." The search results do not indicate the existence of such an award as a distinct Wikidata item.

Given this, I cannot construct a SPARQL query to answer your question, as the required entity does not exist in the knowledge graph. If you have more information about the award (such as an alternative name or the organization that gives it), I can try searching with that. Otherwise, I must conclude that the answer cannot be found in Wikidata at this time.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that there is no entity for 'Ariel Rubinstein award' or any similarly named award in Wikidata, making it impossible to construct a meaningful SPARQL query to find its winners. The explanation is clear and accurate, and the attempted query reflects the absence of the entity. No further refinement is possible without additional information or a Wikidata entity for the award.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?product ?productLabel WHERE {
  wd:Q193701 wdt:P1056 ?product .
  OPTIONAL {
    ?product rdfs:label ?productLabel FILTER ( lang( ?productLabel ) = "en" )
  }
}

Got 10 rows and 2 columns:
| product                                        | productLabel                         |
| ---------------------------------------------- | ------------------------------------ |
| Octagrabber (wd:Q108807603)                    | Octagrabber (en)                     |
| Kestrel (wd:Q1165099)                          | Kestrel (en)                         |
| SuperDraco (wd:Q17183363)                      | SuperDraco (en)                      |
| autonomous spaceport drone ship (wd:Q18603647) | autonomous spaceport drone ship (en) |
| Dragon (wd:Q236448)                            | Dragon (en)                          |
| Falcon (wd:Q3770701)                           | Falcon (en)                          |
| Raptor (wd:Q4135025)                           | Raptor (en)                          |
| Starhopper (wd:Q65395237)                      | Starhopper (en)                      |
| SpaceX Draco (wd:Q73931)                       | SpaceX Draco (en)                    |
| Merlin (wd:Q76148)                             | Merlin (en)                          |

This query returns the distinct products produced by SpaceX (wd:Q193701), along with their English labels for better readability.

[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 product does SpaceX produce?

[Assistant]
Let's break down the question:

1. The entity is "SpaceX".
2. The property is "product" or "produces".

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

[Tool]
Top 10 entity alternatives:
1. SpaceX, also known as Space Exploration Technologies Corporation, Space Exploration Technologies Corp. (wd:Q193701): American private aerospace company
2. Spacex (wd:Q7572748): contemporary art gallery in Devon, England
3. Starship, also known as SpaceX Starship, Starship-Super Heavy (wd:Q62833385): SpaceX super heavy-lift reusable launch vehicle
4. Dragon, also known as Cargo Dragon, CRS Dragon, Dragon 1, Dragon (spacecraft), SpaceX Dragon (wd:Q236448): reusable cargo spacecraft by SpaceX
5. Crew Dragon Demo-2, also known as Dragon Crew Demo-2, SpX-DM-2, SpaceX Demo-2, NASA Demo-2, DM-2 (wd:Q47246047): crewed demonstration flight operated by SpaceX on behalf of NASA
6. SpaceX Crew-1, also known as Crew-1, USCV-1 (wd:Q56042850): NASA Commercial Crew Program mission to the International Space Station
7. SpaceX Crew-2, also known as Crew-2, USCV-2 (wd:Q97769209): NASA Commercial Crew Program mission to the International Space Station
8. Starbase, also known as SpaceX private launch site, SpaceX Starbase, SpaceX South Texas Launch Site (wd:Q16950811): SpaceX spaceport in Boca Chica Village, Texas, United States
9. SpaceX Crew-3, also known as USCV-3, Crew-3 (wd:Q100440345): NASA Commercial Crew Program mission to the International Space Station
10. Crew Dragon Demo-1, also known as Demo-1, DM-1, SpaceX Demo-1, SpX-DM-1 (wd:Q20182952): demonstration flight of the Dragon 2

[Assistant]
The main entity for SpaceX is wd:Q193701.

Next, I need to find the property in Wikidata that relates to "product" or "produces". I will search for properties related to "product".

[Tool]
Top 10 property alternatives:
1. typically sells, also known as product, sells, sold products, usually sells (wd:P7163 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): type of goods particular type of shops typically sell
2. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, producer of (wd:P1056 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): 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
3. 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 prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
4. manufacturer, also known as manufactured by, provider, provided by, product of, producer (wd:P176 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): (main or final) manufacturer or producer of this product
5. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): official URL where the agent sells products/merchandise, official website
6. Wikidata item of this property, also known as associated item, Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property (wd:P1629 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): item corresponding to the concept represented by the property
7. item for this sense, also known as item, sense item, sense has this item, sense, item of this sense (wd:P5137 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): concept corresponding to this sense of a lexeme. Use only on lexeme senses; do not use on items or properties
8. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): qualifier to define a property constraint in combination with "property constraint" (P2302)
9. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): larger work that a given work was published in, like a book, journal or music album, part of
10. brand, also known as main brand (wd:P1716 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): commercial brand associated with the item

[Assistant]
The most relevant property for "product" produced by an organization is "product or material produced" (wdt:P1056).

Now, I will construct a SPARQL query to find the products produced by SpaceX (wd:Q193701) using this property. I will also try to include optional labels for better readability.

[Tool]
Got 10 rows and 2 columns:
| product                                        | productLabel                         |
| ---------------------------------------------- | ------------------------------------ |
| Octagrabber (wd:Q108807603)                    | Octagrabber (en)                     |
| Kestrel (wd:Q1165099)                          | Kestrel (en)                         |
| SuperDraco (wd:Q17183363)                      | SuperDraco (en)                      |
| autonomous spaceport drone ship (wd:Q18603647) | autonomous spaceport drone ship (en) |
| Dragon (wd:Q236448)                            | Dragon (en)                          |
| Falcon (wd:Q3770701)                           | Falcon (en)                          |
| Raptor (wd:Q4135025)                           | Raptor (en)                          |
| Starhopper (wd:Q65395237)                      | Starhopper (en)                      |
| SpaceX Draco (wd:Q73931)                       | SpaceX Draco (en)                    |
| Merlin (wd:Q76148)                             | Merlin (en)                          |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the products produced by SpaceX using the property 'product, material, or service produced or provided' (wdt:P1056). However, the query only returns the IRIs of the products, without any human-readable labels. While labels are not strictly required unless requested, including them in an OPTIONAL clause would make the results more user-friendly and informative. Additionally, the query could be improved by ensuring that only distinct products are returned (using SELECT DISTINCT), in case there are duplicates. Overall, the query is functionally correct but could be refined for better usability.

[Assistant]
Thank you for the feedback. To refine the query:

1. I will use SELECT DISTINCT to ensure only unique products are returned.
2. I will include an OPTIONAL clause to retrieve English labels for each product, making the results more user-friendly.

Here is the improved SPARQL query:

```sparql
SELECT DISTINCT ?product ?productLabel WHERE {
  wd:Q193701 wdt:P1056 ?product .
  OPTIONAL { ?product rdfs:label ?productLabel FILTER (lang(?productLabel) = "en") }
}
```

This query will return the IRIs of the products produced by SpaceX, along with their English labels if available.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the products produced by SpaceX using the appropriate property (wdt:P1056) and returns the IRIs of the products, as well as their English labels in an OPTIONAL clause. The answer is complete and follows all the specified rules. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?entity ?entityLabel WHERE {
  ?entity wdt:P3075 wd:Q9601 .
  OPTIONAL {
    ?entity rdfs:label ?entityLabel FILTER ( LANG( ?entityLabel ) = "en" )
  }
}

Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| entity                                 | entityLabel                  |
| -------------------------------------- | ---------------------------- |
| Indo-Sassanids (wd:Q1661685)           | Indo-Sassanids (en)          |
| Bukhar Khudahs (wd:Q16824911)          | Bukhar Khudahs (en)          |
| Principality of Khuttal (wd:Q16852196) | Principality of Khuttal (en) |
| Caucasian Albania (wd:Q177076)         | Caucasian Albania (en)       |
| Parthian Empire (wd:Q1986139)          | Parthian Empire (en)         |
| ...                                    | ...                          |
| Atropatene (wd:Q260437)                | Atropatene (en)              |
| Kingdom of Sophene (wd:Q2626105)       | Kingdom of Sophene (en)      |
| Achaemenid Empire (wd:Q389688)         | Achaemenid Empire (en)       |
| Timurid Empire (wd:Q484195)            | Timurid Empire (en)          |
| Sasanian Empire (wd:Q83891)            | Sasanian Empire (en)         |

Zoroastrianism has been the official religion of several historical entities, including the Sasanian Empire, Achaemenid Empire, Parthian Empire, Indo-Sassanids, Bukhar Khudahs, Principality of Khuttal, Caucasian Albania, Atropatene, Kingdom of Sophene, and Timurid Empire. There is no current country with Zoroastrianism as its official religion.

[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] Which is the official religion for Zoroastrianism?

[Assistant]
Let's break down the question:

- The user is asking for the "official religion" for "Zoroastrianism".
- However, Zoroastrianism itself is a religion. The question may be ambiguous, but it likely asks: "Which country or entity has Zoroastrianism as its official religion?" or "What is the official status of Zoroastrianism as a religion?"

To clarify, I will first search for the entity "Zoroastrianism" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Zoroastrianism, also known as Magianism, Zarathustraism, The Good Religion, Mazdanism, Mazdayasna (wd:Q9601): Iranian religion founded by Zoroaster
2. Zoroastrianism (wd:Q56442795): scholarly article
3. Zoroastrianism (wd:Q87283202): episode of In Our Time
4. Zoroastrianism (wd:L1397326-S1)
5. WikiProject Zoroastrianism (wd:Q15885171): Wikimedia subject-area collaboration
6. Gatha Zoroastrianism (wd:Q12715018)
7. Mazdayasni Zoroastrianism (wd:Q12714187)
8. Zoroastrianism in India (wd:Q15629688): Religious minority in India
9. Zoroastrianism in Azerbaijan (wd:Q3912204): Historical Azerbaijani religion
10. Zoroastrianism in Iran (wd:Q65417551): Zoroastrianism in the country

[Assistant]
The main entity for Zoroastrianism as a religion is wd:Q9601.

Now, to answer the question, I need to determine if there is a property in Wikidata that links a religion to its "official" status in a country or entity. This could be "official religion", "state religion", or similar.

I will search for properties related to "official religion" in Wikidata.

[Tool]
Top 10 property alternatives:
1. official religion, also known as established religion, state religion (wd:P3075 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): official religion in this administrative entity
2. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): religion of a person, organization or religious building, or associated with this subject
3. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
4. political ideology, also known as editorial viewpoint, has political ideology, ideology, official ideology, official political ideology (wd:P1142 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): political ideology of an organization or person or of a work (such as a newspaper)
5. official symbol, also known as symbol, state tartan, official tartan, floral emblem, official emblem (wd:P2238 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): official symbol of an organisation
6. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): language designated as official by this item, language used
7. religious name, also known as baptismal name, monastic name, name in religion (wd:P1635 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): name taken or used as a member of a religious community
8. issuing agent of work, also known as work issued by, organ of, official publication of, official organ of, official journal of (wd:P9901 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): organization, agency, or other entity responsible for issuing a ...f the entity; distinct from commercial publisher of the resource
9. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): subject's official anthem
10. officialized by, also known as made official by, officialised by (wd:P5194 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the item which officialized this lexeme

[Assistant]
The property "official religion" (wd:P3075) is used to indicate the official religion in an administrative entity (such as a country or region).

To answer the question, I should look for administrative entities (countries, regions, etc.) where the official religion (wd:P3075) is Zoroastrianism (wd:Q9601).

I will now construct a SPARQL query to find all entities where Zoroastrianism is the official religion.

[Tool]
Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| entity                                 |
| -------------------------------------- |
| Indo-Sassanids (wd:Q1661685)           |
| Bukhar Khudahs (wd:Q16824911)          |
| Principality of Khuttal (wd:Q16852196) |
| Caucasian Albania (wd:Q177076)         |
| Parthian Empire (wd:Q1986139)          |
| ...                                    |
| Atropatene (wd:Q260437)                |
| Kingdom of Sophene (wd:Q2626105)       |
| Achaemenid Empire (wd:Q389688)         |
| Timurid Empire (wd:Q484195)            |
| Sasanian Empire (wd:Q83891)            |

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| entity                                 | entityLabel                  |
| -------------------------------------- | ---------------------------- |
| Indo-Sassanids (wd:Q1661685)           | Indo-Sassanids (en)          |
| Bukhar Khudahs (wd:Q16824911)          | Bukhar Khudahs (en)          |
| Principality of Khuttal (wd:Q16852196) | Principality of Khuttal (en) |
| Caucasian Albania (wd:Q177076)         | Caucasian Albania (en)       |
| Parthian Empire (wd:Q1986139)          | Parthian Empire (en)         |
| ...                                    | ...                          |
| Atropatene (wd:Q260437)                | Atropatene (en)              |
| Kingdom of Sophene (wd:Q2626105)       | Kingdom of Sophene (en)      |
| Achaemenid Empire (wd:Q389688)         | Achaemenid Empire (en)       |
| Timurid Empire (wd:Q484195)            | Timurid Empire (en)          |
| Sasanian Empire (wd:Q83891)            | Sasanian Empire (en)         |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all entities that have Zoroastrianism as their official religion, returning their IRIs and optionally their English labels. The answer accurately summarizes the results and provides relevant historical context. The query follows all guidelines, including returning IRIs and using OPTIONAL for labels. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?league ?leagueLabel WHERE {
  ?league wdt:P31 wd:Q623109 .
  ?league wdt:P4794 wd:Q118 .
  ?league rdfs:label ?leagueLabel .
  FILTER ( LANG( ?leagueLabel ) = "en" ) FILTER ( CONTAINS( LCASE( ?leagueLabel ) , "league" ) )
}

Got 3 rows and 2 columns:
| league                                            | leagueLabel                              |
| ------------------------------------------------- | ---------------------------------------- |
| Hockey Japan League (wd:Q11337751)                | Hockey Japan League (en)                 |
| National Professional Soccer League (wd:Q1151172) | National Professional Soccer League (en) |
| Sunday Football League (wd:Q7639392)              | Sunday Football League (en)              |

This query returns sports leagues whose season starts in April and whose English label contains the word 'league'. The result includes the league's IRI and its English label.

[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] Name a sports league starting in April that contains the word "league " in its name

[Assistant]
Let's break down the question:

1. We are looking for a sports league.
2. The league's name must contain the word "league".
3. The league's season should start in April.

Step 1: First, let's search for entities related to "sports league" in Wikidata to identify the correct class or entity for sports leagues.

Step 2: Then, we will look for leagues whose names contain "league".

Step 3: Finally, we will filter for those whose season starts in April.

Let's begin by searching for the entity "sports league".

[Tool]
Top 10 entity alternatives:
1. sports league, also known as league, Sports league, sport league (wd:Q623109): group of sports teams or individual athletes that compete against each other
2. league or competition, also known as tournament, sports league, cup, competition, division (wd:P118): league or competition in which team or player has played, or in which an event occurs
3. ESL, also known as ESL Gaming, Electronic Sports League (wd:Q1326127): esport organization
4. Ignatian Sports League (wd:Q106646675): sports entity of San Ignacio, Paraguay
5. professional sports league, also known as professional sports league organization (wd:Q15991290): league responsible for a championship in a sport with professional players
6. World Championship Sports, also known as Big League Sports (wd:Q3569950): 2008 video game
7. Sports league ranking (wd:Q7579925)
8. Big League Sports (wd:Q108370615): video game series
9. a sports league (wd:L618920-S2)
10. sports league level, also known as league level, level on league pyramid, level on pyramid, level on sport league pyramid, sport league level (wd:P3983): the level of the sport league in the sport league system

[Assistant]
The entity "sports league" (wd:Q623109) is the general class for sports leagues. We can use this to filter for instances of sports leagues.

Next, let's identify the property for "season start date" or similar, so we can filter for leagues that start in April. I'll search for properties related to "season start".

[Tool]
Top 10 property alternatives:
1. season starts, also known as season begins (wd:P4794 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): month or season when sports competition begins
2. open period from, also known as start of opening season, start opening season, opening season, opening month, opening day of the year (wd:P3027 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): qualifier to P3025 (open days) for season when open days apply
3. season, also known as TV series, television season, TV season, television series, series of television program (wd:P4908 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): season of a series (televison, web, podcast), part of
4. valid in period, also known as valid in season, valid for season, valid for period, valid for, time period (wd:P1264 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): time period when a statement is valid
5. season ends (wd:P6118 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): to indicate what month of the year a sports season ends
6. season of club or team, also known as season of athletics program, season of club, season of team, sports season of club or team (wd:P5138 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): club or team that played the season
7. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
8. sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
9. number of seasons, also known as no. of seasons, no. of series, number of series, seasons (wd:P2437 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): number of seasons a television or radio series has had, number of parts of this work
10. start time, also known as start date, since, valid, join time, joined (wd:P580 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): time an entity begins to exist or a statement starts being valid, point in time

[Assistant]
The property "season starts" (wdt:P4794) is the most appropriate for filtering sports competitions that begin in a specific month.

Now, let's check what values are used for this property, specifically for April, to ensure we use the correct value in our query.

[Tool]
Top 10 entity alternatives:
1. April, also known as 4. month, Apr (wd:Q118): fourth month in the Julian and Gregorian calendars
2. April 25, also known as 25th of April, April 25th, Apr 25, 25 April (wd:Q2531): day of the year

No other items found

No literal items found

[Assistant]
The value for April is "April" (wd:Q118). We can use this to filter for leagues whose season starts in April.

Now, let's construct a SPARQL query that:
- Selects entities that are instances of "sports league" (wd:Q623109)
- Have "league" in their name
- Have a "season starts" property with the value "April" (wd:Q118)

I'll include optional labels for readability.

[Tool]
Got 3 rows and 2 columns:
| league                                            | leagueLabel                              |
| ------------------------------------------------- | ---------------------------------------- |
| Hockey Japan League (wd:Q11337751)                | Hockey Japan League (en)                 |
| National Professional Soccer League (wd:Q1151172) | National Professional Soccer League (en) |
| Sunday Football League (wd:Q7639392)              | Sunday Football League (en)              |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is mostly correct, but it does not fully adhere to the requirements. It only returns the IRIs of the leagues, which is correct, but the answer includes human-readable names that are not part of the query result. To improve, the query should optionally include the English label using OPTIONAL {?league rdfs:label ?leagueLabel . FILTER(LANG(?leagueLabel) = "en")}. Additionally, the filter for the label should be inside the OPTIONAL clause. The rest of the logic is sound, as it filters for sports leagues whose season starts in April and whose name contains 'league'. Please refine the query to include the optional label in the result.

[Assistant]
Thank you for the feedback. To refine the query:

- The English label should be included as an OPTIONAL clause, not as a required triple.
- The FILTER for the label containing "league" should be inside the OPTIONAL clause, and the main FILTER should check for the presence of "league" in the label if it exists.
- The query should still return the IRIs of the leagues, with the label as an optional column.

Here is the improved query.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is incorrect and needs to be reworked. The FILTER(CONTAINS(...)) clause is inside an OPTIONAL block, which means it only applies if the label exists, but the query will still return leagues even if their label does not contain 'league'. This can result in irrelevant results. The FILTER(CONTAINS(...)) should be outside the OPTIONAL block to ensure only leagues with 'league' in their English label are returned. Additionally, the query should not use GROUP BY and SAMPLE unless necessary. Also, the query failed to execute, possibly due to inefficiency or timeout, which may be related to the structure of the query. Please revise the query to address these issues.

[Assistant]
Thank you for the feedback. You are correct: the FILTER(CONTAINS(...)) should be outside the OPTIONAL block to ensure only leagues with "league" in their English label are returned. The OPTIONAL should only be used to retrieve the label, not to filter for it. Also, GROUP BY and SAMPLE are unnecessary here.

Here is my revised approach:
- Require that the league has an English label containing "league".
- Use OPTIONAL to return the English label, but the FILTER for "league" is outside the OPTIONAL.
- No GROUP BY or SAMPLE.

Here is the corrected query.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?mother ?death WHERE {
  wd:Q3044 wdt:P25 ?mother .
  OPTIONAL {
    ?mother wdt:P570 ?death
  }
}

The mother of Charlemagne (and grandmother of Charles the Younger) is Bertrada of Laon (wd:Q266751). Wikidata lists two possible dates of death for her: June 12, 783 and July 16, 783.

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

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

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

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

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

[User] When did the mother of Charlemagne, grandmother of Charles the Younger die?

[Assistant]
Let's break down the question:

1. Charlemagne is a well-known historical figure. We need to identify his mother.
2. The mother of Charlemagne is also the grandmother of Charles the Younger.
3. We need to find out when she died.

Step 1: Find the Wikidata entity for Charlemagne.
Step 2: Find the property for "mother" and use it to get Charlemagne's mother.
Step 3: Find the property for "date of death" and use it to get her death date.

Let's start by searching for "Charlemagne" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Charles the Great, also known as Charles I, Charles the Great, Emperor Charlemagne, Karl the Great, Karolus Magnus (wd:Q3044): king of Franks, regarded as the first Holy Roman Emperor (747–814), sovereign, monarch
2. Charlemagne, also known as Charlemagne, QC, Charlemagne, Quebec (wd:Q142017): city in Quebec, Canada
3. Charlemagne (wd:Q28451685): 2015 song performed by Blossoms
4. Carolus Magnus, also known as Charlemagne, Statue of Charlemagne (wd:Q105701660): statue in Liège, Belgium
5. Charlemagne (wd:Q25908198): crater on Iapetus
6. Charlemagne (wd:Q2957869): 1933 film by Pierre Colombier
7. Charlemagne, also known as Carl Johns (wd:Q5074622): US musical ensemble
8. Charlemagne (wd:Q5074623): American extinct comic book series
9. Charlemagne (wd:Q37562374): family name
10. Charlemagne, also known as Category:IMO 9243289, IMO 9243289 (wd:Q83577867): ship built in 2001

[Assistant] The most relevant entity for Charlemagne is wd:Q3044. Next, I will search for the property "mother" to find Charlemagne's mother.

[Tool]
Top 10 property alternatives:
1. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as p/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
2. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
3. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
4. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
5. 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
6. 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
7. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as p/wdt): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
8. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as p/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
9. 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
10. 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)

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                      | property         | object                        |
| ---------------------------- | ---------------- | ----------------------------- |
| Charles the Great (wd:Q3044) | mother (wdt:P25) | Bertrada of Laon (wd:Q266751) |

[Assistant]
Charlemagne's mother is Bertrada of Laon (wd:Q266751). Now, I need to find her date of death.

I'll search for the property "date of death" and then query Bertrada of Laon for this property.

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
4. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as p/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
5. 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
6. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
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. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
9. Find a Grave memorial ID, also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID (wd:P535 as p/wdt): identifier of an individual's burial place in the Find a Grave database
10. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of

No other items found

[Tool]
Got 2 rows and 3 columns:
| subject                       | property                 | object                              |
| ----------------------------- | ------------------------ | ----------------------------------- |
| Bertrada of Laon (wd:Q266751) | date of death (wdt:P570) | 0783-06-12T00:00:00Z (xsd:dateTime) |
| Bertrada of Laon (wd:Q266751) | date of death (wdt:P570) | 0783-07-16T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Charlemagne's mother (Bertrada of Laon) and retrieves her date(s) of death from Wikidata. The query returns the actual IRI for the mother and the date(s) of death, following the guidelines. The answer is accurate and complete based on the available data.