PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?president ?name ( MIN( xsd:integer ( ?ordinal ) ) AS ?minOrdinal ) WHERE {
  ?president p:P39 ?statement .
  ?statement ps:P39 wd:Q11696 .
  ?statement pq:P580 ?startTime .
  ?statement pq:P1545 ?ordinal .
  FILTER ( xsd:integer ( ?ordinal ) > 0 ) OPTIONAL {
    ?president wdt:P1448 ?officialName .
    FILTER ( isLiteral( ?officialName ) )
  }
  OPTIONAL {
    ?president wdt:P1477 ?birthName .
    FILTER ( isLiteral( ?birthName ) )
  }
  OPTIONAL {
    ?president wdt:P1705 ?nativeName .
    FILTER ( isLiteral( ?nativeName ) )
  }
  OPTIONAL {
    ?president rdfs:label ?label .
    FILTER ( LANG( ?label ) = "en" )
  }
  BIND( COALESCE ( ?officialName , ?birthName , ?nativeName , ?label ) AS ?name )
}
GROUP BY ?president ?name
ORDER BY ?minOrdinal

Got 45 rows and 3 columns, showing the first 5 and last 5 rows below:
| president                    | name                              | minOrdinal   |
| ---------------------------- | --------------------------------- | ------------ |
| George Washington (wd:Q23)   | George Washington (en)            | 1 (xsd:int)  |
| John Adams (wd:Q11806)       | John Adams (en)                   | 2 (xsd:int)  |
| Thomas Jefferson (wd:Q11812) | Thomas Jefferson (en)             | 3 (xsd:int)  |
| James Madison (wd:Q11813)    | James Madison, Jr. (en)           | 4 (xsd:int)  |
| James Monroe (wd:Q11815)     | James Monroe (en)                 | 5 (xsd:int)  |
| ...                          | ...                               | ...          |
| Bill Clinton (wd:Q1124)      | William Jefferson Blythe III (en) | 42 (xsd:int) |
| George W. Bush (wd:Q207)     | George Walker Bush (en)           | 43 (xsd:int) |
| Barack Obama (wd:Q76)        | Barack Hussein Obama II (en)      | 44 (xsd:int) |
| Donald Trump (wd:Q22686)     | Donald John Trump (en)            | 45 (xsd:int) |
| Joe Biden (wd:Q6279)         | Joseph Robinette Biden Jr. (en)   | 46 (xsd:int) |

The refined query returns 45 distinct individuals who have held the position of President of the United States, ordered by their ordinal number. For each president, the name is derived from their official name, birth name, or native language name, in that order of preference, ensuring one name per president.

[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 are the individuals who have held the position of President of the United States and thier names? For each president, the name should be derived from their official name, birth name, or name in their native language, in that order of preference (return only one name for each president).

[Assistant]
To answer the question, I need to identify the position "President of the United States" and then find the individuals who have held this position. For each individual, I will retrieve their name with the preference order: official name, birth name, or name in their native language.

Step 1: Search for the entity "President of the United States."
Step 2: Find the property that indicates holding a position.
Step 3: Retrieve individuals who held the position "President of the United States."
Step 4: Retrieve names for each individual with the specified preference order.

I will start by searching for the entity "President of the United States."

[Tool]
Top 10 entity alternatives:
1. President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
2. cultural depictions of John F. Kennedy, also known as cultural depictions of JFK, cultural depictions of John Fitzgerald Kennedy, cultural depictions of President John F. Kennedy, cultural depictions of President Kennedy, President of the United States (wd:Q17512211): John F. Kennedy depicted in culture
3. President of the United States (wd:Q125680992): fictional position in the Grand Theft Auto video game series (HD)
4. Jimmy Carter, also known as James E. Carter, James Earl Carter, Jr., James E. Carter Jr., James E. Carter, Jr., 39th President of the United States (wd:Q23685): President of the United States from 1977 to 1981, human rights activist, environmentalist, autobiographer, businessperson, peace activist, naval officer, humanitarian, statesperson, submariner, politician, diplomat, engineer, novelist, farmer, writer
5. 2024 United States presidential election, also known as USA presidential election, 2024, US 2024 presidential election, POTUS 47, Harris v. Trump, Harris vs. Trump (wd:Q101110072): 60th quadrennial U.S. presidential election
6. Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States
7. President of Mexico, also known as President of the United Mexican States (wd:Q628004): head of state of the country of Mexico
8. Executive Office of the President of the United States, also known as EOP, EOPOTUS, Executive Office of the President, The White House, United States Executive Office of the President (wd:Q1355327): U.S. federal government office of the president of the United States
9. President-elect of the United States, also known as President-Elect (wd:Q1467287): winning candidate of the U.S. presidential election in the time before inauguration
10. The Presidents of the United States of America, also known as Pot USA, PotUSA, PUSA, The Presidents, The Presidents of the United States (wd:Q176430): American rock band

[Assistant] The entity "President of the United States" corresponds to wd:Q11696. Next, I will find the property that indicates holding a position to identify individuals who have held this position.

[Tool]
Top 10 property alternatives:
1. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): subject currently or formerly holds the object position or public office
2. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): persons who hold and/or held the position
3. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): position or specialism of a player on a team
4. expression, gesture or body pose, also known as action, expression, facial expression, gesture, movement (wd:P6022 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier on "depicts" (P180) for human position of an individual in an artwork
5. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): subject's ordinal position as qualitatively evaluated relative to other members of a group
6. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
7. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
8. office contested, also known as contested office, contested position, position contested (wd:P541 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): title of office which election will determine the next holder of
9. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): position of the head of this item
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant] The property "position held" corresponds to wd:P39. Now I will write a SPARQL query to find individuals who have held the position of "President of the United States" (wd:Q11696) using the property "position held" (wdt:P39). Then I will retrieve their names with the preference order: official name, birth name, or name in their native language. I will check the properties for these names to confirm the correct properties to use.

[Tool]
Top 10 property alternatives:
1. appointed by, also known as named by (wd:P748 as p/wdt): who appointed the person to the office, can be used as a qualifier
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
3. X (Twitter) username, also known as twitter.com/, X username, X handle, x.com/, X account (wd:P2002 as p/wdt): username on X (formerly Twitter); do not include the '@' symbol, website username or ID
4. Instagram username, also known as IG username, www.instagram.com, urinsta, ufinsta, Insta ID (wd:P2003 as p/wdt): item's username on Instagram, website username or ID
5. Library of Congress authority ID, also known as LCSH Authority File ID, LC Name Authority ID, LCSH ID, LCSH LCCN, LC Subject Heading ID (wd:P244 as p/wdt/wdtn): Library of Congress name authority (persons, families, corporate...lowed by 8-10 digits (see regex). For manifestations, use P1144]
6. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as p/wdt): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.
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. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
9. National Library of Lithuania ID, also known as LIH ID, NLL ID (wd:P7699 as p/wdt): authority id at the National Library of Lithuania, part of VIAF (code LIH)
10. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))

No other items found

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                | property                 | object                           |
| ---------------------- | ------------------------ | -------------------------------- |
| Nigeria (wd:Q1033)     | native label (wdt:P1705) | Naigeria (ig)                    |
| Libya (wd:Q1016)       | native label (wdt:P1705) | دولة ليبيا (ar)                  |
| Morocco (wd:Q1028)     | native label (wdt:P1705) | المغرب (ar)                      |
| Namibia (wd:Q1030)     | native label (wdt:P1705) | Republic of Namibia (en)         |
| Madagascar (wd:Q1019)  | native label (wdt:P1705) | Repoblikan'i Madagaskar (mg)     |
| Ivory Coast (wd:Q1008) | native label (wdt:P1705) | République de Côte d'Ivoire (fr) |
| Cameroon (wd:Q1009)    | native label (wdt:P1705) | République du Cameroun (fr)      |
| Uganda (wd:Q1036)      | native label (wdt:P1705) | Jamhuri ya Uganda (sw)           |
| Mauritania (wd:Q1025)  | native label (wdt:P1705) | Moritani Silaamin Jamaane (snk)  |
| Senegal (wd:Q1041)     | native label (wdt:P1705) | Senegaal (wo)                    |
| ...                    | ...                      | ...                              |

[Tool]
Top 10 property alternatives:
1. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): label for the items in their official language  or their original language, name
2. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): official name of the subject in its official language(s), name
3. officialized by, also known as made official by, officialised by (wd:P5194 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the item which officialized this lexeme
4. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
5. official symbol, also known as symbol, state tartan, official tartan, floral emblem, official emblem (wd:P2238 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): official symbol of an organisation
6. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): informal name (for a pseudonym use P742), name
7. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
8. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): subject's official anthem
9. courtesy name, also known as courtesy name, style name, zi (wd:P1782 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): name bestowed upon a person at adulthood in addition to one's given name, mostly in East Asia, name
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

[Tool]
Top 10 property alternatives:
1. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): full name of a person at birth, if different from their current, generally used name, name
2. author given names, also known as given name, given names, first name, author first names, author first name (wd:P9687 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), given name
3. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
4. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): alias used by someone (for nickname use P1449), name
5. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): official name of the subject in its official language(s), name
6. self-identified name, also known as internal name, own name, endonym (wd:P12089 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): name by which a group of humans refers to itself (endonym)
7. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): most specific known birth location of a person, animal or fictional character, location
8. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date on which the subject was born, inception
9. professional name (wd:P2838 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): name passed down by generation assumed by a master of a traditional Japanese art or sport such as kabuki or sumo
10. birthday, also known as b-day, bday, birth day (wd:P3150 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth

[Assistant]
The properties for the names are:
- Official name: wd:P1448
- Birth name: wd:P1477
- Native label (name in native language): wd:P1705

I will now write a SPARQL query to find individuals who held the position "President of the United States" (wd:Q11696) using the property "position held" (wdt:P39). For each individual, I will retrieve their name with the preference order: official name (wdt:P1448), birth name (wdt:P1477), or native label (wdt:P1705). I will use COALESCE to return the first available name in this order.

[Tool]
Got 63 rows and 2 columns, showing the first 5 and last 5 rows below:
| president                        | name                                      |
| -------------------------------- | ----------------------------------------- |
| Phil Baker (wd:Q107054330)       | http://www.wikidata.org/entity/Q107054330 |
| Bill Clinton (wd:Q1124)          | William Jefferson Blythe III (en)         |
| Quentin Trembley (wd:Q113227667) | http://www.wikidata.org/entity/Q113227667 |
| Harry S. Truman (wd:Q11613)      | http://www.wikidata.org/entity/Q11613     |
| John Adams (wd:Q11806)           | http://www.wikidata.org/entity/Q11806     |
| ...                              | ...                                       |
| Olivia Marsdin (wd:Q96181216)    | http://www.wikidata.org/entity/Q96181216  |
| Lyndon B. Johnson (wd:Q9640)     | Lyndon Baines Johnson (en)                |
| John F. Kennedy (wd:Q9696)       | John Fitzgerald Kennedy (mul)             |
| Dwight D. Eisenhower (wd:Q9916)  | David Dwight Eisenhower (en)              |
| Ronald Reagan (wd:Q9960)         | Ronald Wilson Reagan (en)                 |

[Assistant] The query returned some results where the name is not a literal but the entity itself, indicating that the preferred name properties were not available for those individuals. I will refine the query to ensure that the name is a literal and filter out results where the name is not a literal. I will also add labels for the presidents as a fallback to ensure a name is always returned.

[Tool]
Got 63 rows and 2 columns, showing the first 5 and last 5 rows below:
| president                        | name                              |
| -------------------------------- | --------------------------------- |
| Phil Baker (wd:Q107054330)       | Phil Baker (en)                   |
| Bill Clinton (wd:Q1124)          | William Jefferson Blythe III (en) |
| Quentin Trembley (wd:Q113227667) | Quentin Trembley (en)             |
| Harry S. Truman (wd:Q11613)      | Harry S. Truman (en)              |
| John Adams (wd:Q11806)           | John Adams (en)                   |
| ...                              | ...                               |
| Olivia Marsdin (wd:Q96181216)    | Olivia Marsdin (en)               |
| Lyndon B. Johnson (wd:Q9640)     | Lyndon Baines Johnson (en)        |
| John F. Kennedy (wd:Q9696)       | John Fitzgerald Kennedy (mul)     |
| Dwight D. Eisenhower (wd:Q9916)  | David Dwight Eisenhower (en)      |
| Ronald Reagan (wd:Q9960)         | Ronald Wilson Reagan (en)         |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves individuals who have held the position of President of the United States and attempts to return their names with the desired preference order (official name, birth name, native name, label). However, the query does not explicitly ensure that only one name per president is returned with the correct preference order in a way that excludes multiple names if present. The use of COALESCE is appropriate, but it should be verified that the properties used (P1448, P1477, P1705) are literals and that the filtering is sufficient. Also, the query returns some unexpected entities such as 'Phil Baker' and 'Quentin Trembley' who are not actual US presidents, indicating that the position held (wdt:P39) filter might be too broad or includes non-official or fictional entries. It would be better to restrict the position held to those with a start date or to those recognized as official presidents (e.g., by filtering on the position held with qualifiers or by checking for the office held with a qualifier for the United States presidency). Additionally, the query should exclude duplicates and ensure the list matches the known official US presidents (currently 46 as of 2024). The query should also order by ?name or by the president's ordinal number if available. Therefore, refinement is needed to improve accuracy and relevance of the results.

[Assistant]
The feedback points out that the current query returns some unexpected entities who are not actual US presidents, indicating that the filter on "position held" (wdt:P39) is too broad and includes non-official or fictional entries. Also, the query should ensure only one name per president is returned with the correct preference order and exclude duplicates. It is suggested to restrict the position held to those with a start date or recognized as official presidents, possibly by filtering with qualifiers or checking for the ordinal number of the presidency. The query should also order by the president's ordinal number if available.

Plan for refinement:
1. Restrict the position held (wdt:P39) to those with a qualifier "start time" (P580) to ensure official terms.
2. Retrieve the ordinal number of the presidency (property P1545 "series ordinal") to order the results.
3. Use the same name preference order with filtering for literals.
4. Exclude duplicates by grouping or distinct.
5. Order by the ordinal number of the presidency.

I will now write a refined SPARQL query implementing these improvements.

[Tool]
Got 49 rows and 3 columns, showing the first 5 and last 5 rows below:
| president                        | name                            | ordinal |
| -------------------------------- | ------------------------------- | ------- |
| Phil Baker (wd:Q107054330)       | Phil Baker (en)                 |         |
| Quentin Trembley (wd:Q113227667) | Quentin Trembley (en)           | 8½      |
| George Washington (wd:Q23)       | George Washington (en)          | 1       |
| John Adams (wd:Q11806)           | John Adams (en)                 | 2       |
| Thomas Jefferson (wd:Q11812)     | Thomas Jefferson (en)           | 3       |
| ...                              | ...                             | ...     |
| George W. Bush (wd:Q207)         | George Walker Bush (en)         | 43      |
| Barack Obama (wd:Q76)            | Barack Hussein Obama II (en)    | 44      |
| Donald Trump (wd:Q22686)         | Donald John Trump (en)          | 45      |
| Joe Biden (wd:Q6279)             | Joseph Robinette Biden Jr. (en) | 46      |
| Donald Trump (wd:Q22686)         | Donald John Trump (en)          | 47      |

[Assistant]
The refined query still returns some unexpected entities like "Phil Baker" and "Quentin Trembley" who are not official US presidents. Also, there is a duplicate entry for Donald Trump with ordinal 45 and 47. The ordinal property (P1545) is not always a simple integer and can have fractional or non-integer values (e.g., 8½).

To improve:
- Filter out entries where the ordinal is not a valid integer or is missing.
- Exclude known fictional or non-official presidents by ensuring the ordinal is a positive integer.
- Use DISTINCT to avoid duplicates.
- Order by the integer value of the ordinal.

I will refine the query to filter ordinals that are valid integers and positive, and exclude entries without ordinal.

[Tool]
SPARQL execution failed:
Invalid SPARQL query: Escaping the character d is not allowed in QLever's regex filters. (Regex was ^\d+$) Please note that there are two levels of escaping in place here: One for SPARQL and one for the regex engine

[Assistant]
The regex filter for digits failed due to escaping issues in QLever's regex engine. I will simplify the filter by using a numeric cast and a numeric comparison instead of regex to ensure the ordinal is a positive integer.

I will filter ordinals by casting to xsd:integer and checking if it is greater than 0.

[Tool]
Got 47 rows and 3 columns, showing the first 5 and last 5 rows below:
| president                    | name                            | ordinal |
| ---------------------------- | ------------------------------- | ------- |
| George Washington (wd:Q23)   | George Washington (en)          | 1       |
| John Adams (wd:Q11806)       | John Adams (en)                 | 2       |
| Thomas Jefferson (wd:Q11812) | Thomas Jefferson (en)           | 3       |
| James Madison (wd:Q11813)    | James Madison, Jr. (en)         | 4       |
| James Monroe (wd:Q11815)     | James Monroe (en)               | 5       |
| ...                          | ...                             | ...     |
| George W. Bush (wd:Q207)     | George Walker Bush (en)         | 43      |
| Barack Obama (wd:Q76)        | Barack Hussein Obama II (en)    | 44      |
| Donald Trump (wd:Q22686)     | Donald John Trump (en)          | 45      |
| Joe Biden (wd:Q6279)         | Joseph Robinette Biden Jr. (en) | 46      |
| Donald Trump (wd:Q22686)     | Donald John Trump (en)          | 47      |

[Assistant]
The refined query now returns 47 rows with presidents ordered by their ordinal number, filtering only those with a positive integer ordinal. The unexpected entities like "Phil Baker" and "Quentin Trembley" are excluded. However, there is still a duplicate entry for Donald Trump with ordinal 45 and 47. This might be due to multiple terms or data inconsistencies.

To finalize, I will remove duplicates by grouping by president and name, and select the minimum ordinal for each president to avoid duplicates. I will then order by the minimum ordinal. This should give one entry per president with the earliest ordinal.

[Tool]
Got 45 rows and 3 columns, showing the first 5 and last 5 rows below:
| president                    | name                              | minOrdinal   |
| ---------------------------- | --------------------------------- | ------------ |
| George Washington (wd:Q23)   | George Washington (en)            | 1 (xsd:int)  |
| John Adams (wd:Q11806)       | John Adams (en)                   | 2 (xsd:int)  |
| Thomas Jefferson (wd:Q11812) | Thomas Jefferson (en)             | 3 (xsd:int)  |
| James Madison (wd:Q11813)    | James Madison, Jr. (en)           | 4 (xsd:int)  |
| James Monroe (wd:Q11815)     | James Monroe (en)                 | 5 (xsd:int)  |
| ...                          | ...                               | ...          |
| Bill Clinton (wd:Q1124)      | William Jefferson Blythe III (en) | 42 (xsd:int) |
| George W. Bush (wd:Q207)     | George Walker Bush (en)           | 43 (xsd:int) |
| Barack Obama (wd:Q76)        | Barack Hussein Obama II (en)      | 44 (xsd:int) |
| Donald Trump (wd:Q22686)     | Donald John Trump (en)            | 45 (xsd:int) |
| Joe Biden (wd:Q6279)         | Joseph Robinette Biden Jr. (en)   | 46 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all individuals who have held the position of President of the United States, returning one name per president based on the specified preference order: official name, birth name, native name, and finally the English label as a fallback. The query also correctly orders the presidents by their ordinal number and returns the expected number of results (45 distinct presidents). The use of COALESCE to select the name and the grouping by president and name is appropriate. The query adheres to the rules, returning identifiers and names without using unsupported SERVICE clauses. The answer is complete, accurate, and well-structured.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?person ?personLabel WHERE {
  ?person wdt:P19 wd:Q81802 .
  {
    ?person wdt:P20 ?deathPlace .
    ?deathPlace wdt:P31 / wdt:P279 * wd:Q328468 .
  } UNION {
    ?person wdt:P509 ?causeOfDeath .
    ?causeOfDeath wdt:P31 / wdt:P279 * wd:Q328468 .
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}

The query looks for distinct individuals born in Almería Province (wd:Q81802) who either died in a place that is an instance or subclass of a Nazi concentration camp (wd:Q328468) or whose cause of death is an instance or subclass of a Nazi concentration camp. The query returns the identifiers and English labels of these individuals. If the result is empty, it indicates no such individuals are recorded in Wikidata with these properties.

[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 are the distinct individuals who were born in Almería Province and died in a Nazi concentration camp?

[Assistant]
To answer this question, I need to identify individuals with two criteria:
1. Born in Almería Province.
2. Died in a Nazi concentration camp.

Step 1: Identify the Wikidata entity for "Almería Province."
Step 2: Identify the Wikidata entity or entities for Nazi concentration camps.
Step 3: Find individuals born in Almería Province.
Step 4: Filter those individuals who died in a Nazi concentration camp.

I will start by searching for the entity "Almería Province."

[Tool]
Top 10 entity alternatives:
1. Almería Province, also known as Almeria Province, Province of Almería, Province of Almeria (wd:Q81802): province of Andalusia, Spain
2. cuisine of the province of Almería, also known as cuisine in the province of Almería, food in the province of Almería, food of the province of Almería, province of Almería cuisine, province of Almería food (wd:Q5876017)
3. Province Court of Almería, also known as Audiencia Provincial de Almería, Audiencia Provincial of Almería (wd:Q24941310)
4. Flags of the province of Almería (wd:Q81441831)
5. Pottery in the province of Almería (wd:Q5666574)
6. Day of the province of Almeria (wd:Q5815800)
7. culture of the province of Almería (wd:Q121157676): overview of culture in the province of Almería
8. history of the province of Almería (wd:Q123361305)
9. Spanish Civil War in the Almería province (wd:Q71482941)
10. province, also known as provinces (wd:Q34876): administrative division in several countries

[Assistant]
The Wikidata entity for Almería Province is wd:Q81802.

Next, I will search for entities related to Nazi concentration camps to identify the relevant entity or entities for the place of death.

[Tool]
Top 10 entity alternatives:
1. Nazi concentration camp, also known as Nazi German concentration camp (wd:Q328468): concentration camps operated by Nazi Germany
2. Nazi concentration camp badge (wd:Q15631700): cloth emblems; part of the system of identification in Nazi concentration camps
3. Nazi Concentration Camps (wd:Q1561119): 1945 film by George Stevens
4. Nazi concentration camp commandant, also known as camp commandant (wd:Q1719327): chief commanding position within the SS service of a Nazi concentration camp
5. Nazi concentration camp barracks, also known as block (wd:Q1520659): largely identical huts of a concentration camps
6. camp dentist, also known as Nazi Concentration Camp dentist (wd:Q85515749): medical personnel in Nazi concentration camps, physician, dentist
7. concentration camp guard, also known as camp guard, concentration camp overseer, Nazi concentration camp guard (wd:Q28789517): someone guarding a concentration camp
8. pharmacist in Nazi concentration camp, also known as Nazi concentration camp pharmacist (wd:Q85515966): pharmacist in Nazi concentration camps
9. Nazi concentration camp in Płaszów (wd:Q30161821)
10. Nazi concentration camps in Norway (wd:Q6983402)

[Assistant]
The Wikidata entity for Nazi concentration camp is wd:Q328468.

Now, I will construct a SPARQL query to find distinct individuals who were born in Almería Province (wd:Q81802) and died in a Nazi concentration camp (wd:Q328468). I will check for the properties "place of birth" (P19) and "place of death" (P20) or "cause of death" (P509) related to Nazi concentration camps.

I will start with a query to find individuals born in Almería Province and died in a place that is an instance of Nazi concentration camp.

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

[Assistant]
The query failed because the SERVICE wikibase:label is not supported by the used QLever SPARQL endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label for the person.

I will also consider that the death place might not always be directly an instance of Nazi concentration camp but could be a subclass or related entity. I will try a simpler query first to find individuals born in Almería Province and died in a Nazi concentration camp or related place.

[Tool] Got no rows and 2 columns

[Assistant]
No individuals were found with place of birth Almería Province and place of death being an instance or subclass of Nazi concentration camp.

I will try another approach by checking if the cause of death (P509) is a Nazi concentration camp or related entity, as sometimes the place of death might not be directly recorded but the cause of death might be.

I will run a query to find individuals born in Almería Province and with cause of death being a Nazi concentration camp or subclass.

[Tool] Got no rows and 2 columns

[Assistant]
No individuals were found with place of birth Almería Province and cause of death being a Nazi concentration camp or subclass.

I will try a broader approach by checking if the place of death or cause of death is linked to any entity that has "Nazi concentration camp" as a part of its description or label. This might help to catch some indirect links.

I will run a query to find individuals born in Almería Province and died in or caused by entities with labels containing "Nazi concentration camp."

[Tool] Got no rows and 2 columns

[Assistant]
No individuals were found with place of birth Almería Province and place of death or cause of death containing "Nazi concentration camp" in the label or description.

I will try another approach by searching for individuals who died in known Nazi concentration camps. I will first find some known Nazi concentration camps and then check if any individuals born in Almería Province died in any of those camps.

I will search for instances of Nazi concentration camps to get a list of camps.

[Tool]
Got 10 rows and 2 columns:
| camp                                                                         | campLabel                                                         |
| ---------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| Ampfing (concentration camp) - Waldlager V (wd:Q104173765)                   | Ampfing (concentration camp) - Waldlager V (en)                   |
| Maria Lanzendorf concentration camp (wd:Q105612800)                          | Maria Lanzendorf concentration camp (en)                          |
| wd:Q105659014                                                                |                                                                   |
| Concentration camp "Arbeitsdorf" (wd:Q106510601)                             | Concentration camp "Arbeitsdorf" (en)                             |
| Concentration Camp Protection Squad Junk School Braunschweig (wd:Q106559746) | Concentration Camp Protection Squad Junk School Braunschweig (en) |
| Concentration Camp Salzgitter Bad (wd:Q106564725)                            | Concentration Camp Salzgitter Bad (en)                            |
| KZ Fallersleben-Laagberg (men) (wd:Q106565188)                               | KZ Fallersleben-Laagberg (men) (en)                               |
| Weferlingen concentration camp (wd:Q106689446)                               | Weferlingen concentration camp (en)                               |
| Steyr-Münichholz concentration camp (wd:Q1145467)                            | Steyr-Münichholz concentration camp (en)                          |
| Arnstadt concentration camp (wd:Q115609867)                                  | Arnstadt concentration camp (en)                                  |

[Assistant]
I have a list of some Nazi concentration camps. Now I will check if there are individuals born in Almería Province (wd:Q81802) who died in any of these camps.

I will write a query to find individuals born in Almería Province and died in any of these camps. I will use the camp entities from the list above as death places.

[Tool] Got no rows and 4 columns

[Assistant]
No individuals were found who were born in Almería Province and died in any of the sampled Nazi concentration camps.

It is possible that the data about individuals who died in Nazi concentration camps is not fully recorded with place of death or cause of death in Wikidata, or that the place of death is recorded differently.

I will try one last approach: I will search for individuals born in Almería Province who have a statement about death with a qualifier or statement indicating death in a Nazi concentration camp. This might be more complex but could catch some cases.

I will search for individuals born in Almería Province and check if any of their death-related statements mention Nazi concentration camps.

[Tool] Got no rows and 2 columns

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The system's explanation for not finding an answer is reasonable given the complexity of the query. However, no SPARQL query was provided to verify or improve. To improve, the system should attempt a SPARQL query that looks for individuals with place of birth in Almería Province (Q1234567 as a placeholder for the actual Wikidata ID of Almería Province) and who died in a Nazi concentration camp. This can be done by checking place of death or cause of death related to Nazi concentration camps (e.g., items classified as Nazi concentration camps or related death causes). The query should return the distinct individuals' identifiers and optionally their labels. Without a query, it is not possible to confirm the completeness or correctness of the search. Therefore, the system should retry by constructing and executing a suitable SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies individuals born in Almería Province who died in or whose cause of death is a Nazi concentration camp, using appropriate properties and classes. It also retrieves English labels optionally. The query returned no results, which is a valid outcome indicating no such individuals are recorded in Wikidata with these criteria. The query follows best practices and answers the question as asked.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?member ?memberLabel ?adminEntity ?adminEntityLabel ?coordinates WHERE {
  ?member wdt:P463 wd:Q96376996 .
  OPTIONAL {
    ?member wdt:P131 ?adminEntity .
    ?member rdfs:label ?memberLabel
    FILTER ( LANG( ?memberLabel ) = "en" ) OPTIONAL {
      ?adminEntity rdfs:label ?adminEntityLabel FILTER ( LANG( ?adminEntityLabel ) = "en" ) OPTIONAL {
        ?adminEntity wdt:P625 ?coordinates
      }
    }
  }
}

The query returns the members of the Clubture Network along with the administrative territorial entities they are located in (if available) and the coordinates of these administrative areas (if available). There are 89 members found, some with administrative entities and coordinates, some without.

[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 are the members of the Clubture Network, including the administrative territorial entities they are located in (if available) and the coordinates of these administrative areas (if available)?

[Assistant]
To answer this question, I need to identify the entity "Clubture Network" in Wikidata first. Then, I will find its members. For each member, I will try to find the administrative territorial entity they are located in and the coordinates of those administrative areas if available.

Step 1: Search for the entity "Clubture Network" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Clubture Network, also known as Clubture.org, Clubture (wd:Q96376996): Croatian network / platform of cultural and art organizations and initiatives
2. computer network, also known as computer communication networks, computer networks, computer network technologies and services, network (wd:Q1301371): network that allows computers to share resources and communicate with each other
3. graph, also known as undirected simple graph, simple undirected graph, points and lines, graphs, graph (network) (wd:Q141488): mathematical structure made of vertices connected in pairs by edges
4. Network, also known as Union Broadcasting System (wd:Q572165): 1976 film by Sidney Lumet
5. business networking, also known as networking, network (wd:Q2360816): forming professional relationships between people, businesses, or groups
6. Slovak Conservative Party, also known as #NETWORK, NETWORK, Sieť, #SIEŤ, SIEŤ (wd:Q17115560): political party in Slovakia
7. The Network, also known as Network (wd:Q1187591): new wave side project of rock band Green Day
8. Benn Jordan, also known as Lucid16, FlexE., Human Action, Human Action Network, The Flashbulb (wd:Q3121935): American musician, musician, composer
9. network (wd:Q1900326): system of objects that are connected together to exchange something (e.g. objects, materials or information)
10. filet lace, also known as filet brodé, filet guipure, knotted netting, lacis, network (wd:Q1412659): type of embroidered lace made using darning or running stitches on a hand-knotted net ground

[Assistant] I found the entity "Clubture Network" with the Wikidata ID wd:Q96376996. Now I will find the members of this network. Members of a network are usually linked by a property like "has part" (P527) or "member" (P463). I will check for the members of this entity.

[Tool]
Got 118 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                       | object                                      |
| ------------------------------- | ---------------------------------------------- | ------------------------------------------- |
| Clubture Network (wd:Q96376996) | instance of (wdt:P31)                          | non-governmental organization (wd:Q79913)   |
| Clubture Network (wd:Q96376996) | main subject (wdt:P921)                        | culture (wd:Q11042)                         |
| Clubture Network (wd:Q96376996) | country (wdt:P17)                              | Croatia (wd:Q224)                           |
| Clubture Network (wd:Q96376996) | coordinate location (wdt:P625)                 | POINT(15.975538 45.807432) (geo:wktLiteral) |
| Clubture Network (wd:Q96376996) | Commons category (wdt:P373)                    | Clubture                                    |
| Clubture Network (wd:Q96376996) | inception (wdt:P571)                           | 2002-07-16T00:00:00Z (xsd:dateTime)         |
| Clubture Network (wd:Q96376996) | official website (wdt:P856)                    | <http://Clubture.org>                       |
| Clubture Network (wd:Q96376996) | street address (wdt:P6375)                     | Baruna Trenka 11, 10000 Zagreb (hr)         |
| Clubture Network (wd:Q96376996) | on focus list of Wikimedia project (wdt:P5008) | WikiProject CSO networks (wd:Q115120455)    |
| Clubture Network (wd:Q96376996) | member of (wdt:P463)                           | DKC-HR (wd:Q111178235)                      |
| ...                             | ...                                            | ...                                         |

[Assistant] The property "member of" (wdt:P463) is used in the reverse direction here, indicating that some entities are members of the Clubture Network. I will now find all entities that have "member of" (wdt:P463) pointing to Clubture Network (wd:Q96376996) to get the members of the network.

[Tool]
Got 89 rows and 2 columns, showing the first 5 and last 5 rows below:
| member                                                                             | memberLabel                                                              |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Queer Sport Split (wd:Q105443300)                                                  | Queer Sport Split (en)                                                   |
| HrW initiative (wd:Q108613387)                                                     | HrW initiative (en)                                                      |
| KLFM (wd:Q109587828)                                                               | KLFM (en)                                                                |
| Spirit Rijeka (wd:Q109621414)                                                      | Spirit Rijeka (en)                                                       |
| Udruženje za razvoj kulture "URK" (wd:Q111189446)                                  | Udruženje za razvoj kulture "URK" (en)                                   |
| ...                                                                                | ...                                                                      |
| Art Workshop Lazareti (wd:Q4797154)                                                | Art Workshop Lazareti (en)                                               |
| Grey) (area space for contemporary and media art (wd:Q65133126)                    | Grey) (area space for contemporary and media art (en)                    |
| Association for Development of ‘...t-yourself’ Culture – Makerspace (wd:Q67371330) | Association for Development of ‘...t-yourself’ Culture – Makerspace (en) |
| queerANarchive (wd:Q96377295)                                                      | queerANarchive (en)                                                      |
| Drugo more (wd:Q98930373)                                                          | Drugo more (en)                                                          |

[Assistant] I have found 89 members of the Clubture Network. Now I will find the administrative territorial entities they are located in, if available. The property "located in the administrative territorial entity" (wdt:P131) is commonly used for this. I will query for each member's administrative territorial entity.

[Tool]
Got 109 rows and 4 columns, showing the first 5 and last 5 rows below:
| member                                                                             | memberLabel                                                              | adminEntity          | adminEntityLabel |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ | -------------------- | ---------------- |
| Queer Sport Split (wd:Q105443300)                                                  |                                                                          |                      |                  |
| HrW initiative (wd:Q108613387)                                                     |                                                                          |                      |                  |
| KLFM (wd:Q109587828)                                                               | KLFM (en)                                                                | Split (wd:Q1663)     | Split (en)       |
| Spirit Rijeka (wd:Q109621414)                                                      | Spirit Rijeka (en)                                                       | Rijeka (wd:Q1647)    | Rijeka (en)      |
| Udruženje za razvoj kulture "URK" (wd:Q111189446)                                  | Udruženje za razvoj kulture "URK" (en)                                   | Zagreb (wd:Q1435)    | Zagreb (en)      |
| ...                                                                                | ...                                                                      | ...                  | ...              |
| Art Workshop Lazareti (wd:Q4797154)                                                | Art Workshop Lazareti (en)                                               | Dubrovnik (wd:Q1722) | Dubrovnik (en)   |
| Grey) (area space for contemporary and media art (wd:Q65133126)                    | Grey) (area space for contemporary and media art (en)                    | Korčula (wd:Q13289)  | Korčula (en)     |
| Association for Development of ‘...t-yourself’ Culture – Makerspace (wd:Q67371330) | Association for Development of ‘...t-yourself’ Culture – Makerspace (en) | Zagreb (wd:Q1435)    | Zagreb (en)      |
| queerANarchive (wd:Q96377295)                                                      |                                                                          |                      |                  |
| Drugo more (wd:Q98930373)                                                          | Drugo more (en)                                                          | Rijeka (wd:Q1647)    | Rijeka (en)      |

[Assistant] I have retrieved the members of the Clubture Network along with their administrative territorial entities (if available). Now I will extend the query to also get the coordinates of these administrative territorial entities, if available. The property for coordinates is "coordinate location" (wdt:P625).

[Tool]
Got 109 rows and 5 columns, showing the first 5 and last 5 rows below:
| member                                                                             | memberLabel                                                              | adminEntity          | adminEntityLabel | coordinates                                 |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ | -------------------- | ---------------- | ------------------------------------------- |
| Queer Sport Split (wd:Q105443300)                                                  |                                                                          |                      |                  |                                             |
| HrW initiative (wd:Q108613387)                                                     |                                                                          |                      |                  |                                             |
| KLFM (wd:Q109587828)                                                               | KLFM (en)                                                                | Split (wd:Q1663)     | Split (en)       | POINT(16.440000 43.510000) (geo:wktLiteral) |
| Spirit Rijeka (wd:Q109621414)                                                      | Spirit Rijeka (en)                                                       | Rijeka (wd:Q1647)    | Rijeka (en)      | POINT(14.433333 45.333333) (geo:wktLiteral) |
| Udruženje za razvoj kulture "URK" (wd:Q111189446)                                  | Udruženje za razvoj kulture "URK" (en)                                   | Zagreb (wd:Q1435)    | Zagreb (en)      | POINT(15.977222 45.813056) (geo:wktLiteral) |
| ...                                                                                | ...                                                                      | ...                  | ...              | ...                                         |
| Art Workshop Lazareti (wd:Q4797154)                                                | Art Workshop Lazareti (en)                                               | Dubrovnik (wd:Q1722) | Dubrovnik (en)   | POINT(18.108333 42.640278) (geo:wktLiteral) |
| Grey) (area space for contemporary and media art (wd:Q65133126)                    | Grey) (area space for contemporary and media art (en)                    | Korčula (wd:Q13289)  | Korčula (en)     | POINT(17.135833 42.961667) (geo:wktLiteral) |
| Association for Development of ‘...t-yourself’ Culture – Makerspace (wd:Q67371330) | Association for Development of ‘...t-yourself’ Culture – Makerspace (en) | Zagreb (wd:Q1435)    | Zagreb (en)      | POINT(15.977222 45.813056) (geo:wktLiteral) |
| queerANarchive (wd:Q96377295)                                                      |                                                                          |                      |                  |                                             |
| Drugo more (wd:Q98930373)                                                          | Drugo more (en)                                                          | Rijeka (wd:Q1647)    | Rijeka (en)      | POINT(14.433333 45.333333) (geo:wktLiteral) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the members of the Clubture Network along with their administrative territorial entities and the coordinates of these entities when available. The query uses appropriate properties (wdt:P463 for membership, wdt:P131 for administrative territorial entity, and wdt:P625 for coordinates) and includes optional clauses to handle missing data gracefully. The labels are filtered for English language, which is helpful for readability. The result set is comprehensive and matches the user's request. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item ?itemLabel WHERE {
  ?item wdt:P279 wd:Q13442814 .
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
}
ORDER BY ?itemLabel

Got 30 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                     | itemLabel                      |
| ---------------------------------------- | ------------------------------ |
| academic conference paper (wd:Q10885494) | academic conference paper (en) |
| academic journal article (wd:Q18918145)  | academic journal article (en)  |
| Annus Mirabilis papers (wd:Q51497)       | Annus Mirabilis papers (en)    |
| A-publication (wd:Q2774197)              | A-publication (en)             |
| classic article (wd:Q58898396)           | classic article (en)           |
| ...                                      | ...                            |
| sleeping beauty (wd:Q115528532)          | sleeping beauty (en)           |
| survey article (wd:Q60535861)            | survey article (en)            |
| systematic review (wd:Q1504425)          | systematic review (en)         |
| type catalogue (wd:Q121763407)           | type catalogue (en)            |
| working paper (wd:Q1228945)              | working paper (en)             |

The items that are subclasses of scholarly articles (wd:Q13442814) ordered by their labels are: academic conference paper, academic journal article, Annus Mirabilis papers, A-publication, classic article, sleeping beauty, survey article, systematic review, type catalogue, working paper, and others as shown in the query results.

[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 are the items that are subclasses of scholarly articles, ordered by their labels?

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

1. Identify the entity for "scholarly articles" in Wikidata.
2. Find items that are subclasses of this entity.
3. Retrieve their labels and order the results by these labels.

Step 1: Search for the entity "scholarly articles" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. scholarly article, also known as scientific papers, scientific paper, scientific article, scholarly paper, scholarly articles (wd:Q13442814): article in an academic publication, usually peer reviewed
2. academic journal article, also known as academic article, academic paper, journal article, scholarly article (wd:Q18918145): article published in an academic journal
3. More rain, more virus, also known as Scholarly article (wd:Q60067355): scientific article published in Nature
4. Nine axes of merit for technosignature searches, also known as scholarly article (wd:Q122939269): scientific article published on 19 November 2019
5. News censorship in online social...rcumvention in the commentsphere, also known as scholarly article (wd:Q116784910): scientific article published on 3 June 2016
6. The importance of peer group ("crowd") affiliation in adolescence, also known as scholarly article (wd:Q126361512)
7. The possibility of converting lipids into carbohydrates in man., also known as scholarly article (wd:Q78576861): scientific article published on 01 June 1954
8. fictional scholarly article, also known as fictional scientific article (wd:Q116527851): scientific article in a work of fiction
9. medical scholarly article, also known as medical journal article (wd:Q82969330): scholarly article in the field of medicine, often published in a medical journal
10. Marc-André Selosse (scholarly article), also known as Marc-André Selosse (wd:Q48058861): scientific article published in January 2015

[Assistant] The entity "scholarly article" is wd:Q13442814 in Wikidata. Next, I will find items that are subclasses of this entity and order them by their labels.

[Tool]
Got 30 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                     | itemLabel                      |
| ---------------------------------------- | ------------------------------ |
| academic conference paper (wd:Q10885494) | academic conference paper (en) |
| academic journal article (wd:Q18918145)  | academic journal article (en)  |
| Annus Mirabilis papers (wd:Q51497)       | Annus Mirabilis papers (en)    |
| A-publication (wd:Q2774197)              | A-publication (en)             |
| classic article (wd:Q58898396)           | classic article (en)           |
| ...                                      | ...                            |
| sleeping beauty (wd:Q115528532)          | sleeping beauty (en)           |
| survey article (wd:Q60535861)            | survey article (en)            |
| systematic review (wd:Q1504425)          | systematic review (en)         |
| type catalogue (wd:Q121763407)           | type catalogue (en)            |
| working paper (wd:Q1228945)              | working paper (en)             |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all subclasses of scholarly articles (wd:Q13442814) and orders them by their English labels. The answer provides a clear and accurate summary of the results, listing several subclasses and indicating that more are available in the query results. The query follows the rules by returning item identifiers and labels, and the ordering is done within SPARQL. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?airport ?airportLabel ( COUNT( ?runway ) AS ?numRunways ) WHERE {
  ?airport wdt:P31 wd:Q644371 .
  ?airport wdt:P529 ?runway .
  OPTIONAL {
    ?airport rdfs:label ?airportLabel FILTER ( LANG( ?airportLabel ) = "en" )
  }
}
GROUP BY ?airport ?airportLabel
HAVING ( COUNT( ?runway ) = 1 )
ORDER BY ?airportLabel
LIMIT 100

Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| airport                                                  | airportLabel                                    | numRunways  |
| -------------------------------------------------------- | ----------------------------------------------- | ----------- |
| Abakan International Airport (wd:Q558204)                | Abakan International Airport (en)               | 1 (xsd:int) |
| Abel Santamaría Airport (wd:Q3496664)                    | Abel Santamaría Airport (en)                    | 1 (xsd:int) |
| Abraham González Airport (wd:Q2233076)                   | Abraham González Airport (en)                   | 1 (xsd:int) |
| Adana Şakirpaşa Airport (wd:Q1430728)                    | Adana Şakirpaşa Airport (en)                    | 1 (xsd:int) |
| Addis Ababa Bole International Airport (wd:Q44923)       | Addis Ababa Bole International Airport (en)     | 1 (xsd:int) |
| ...                                                      | ...                                             | ...         |
| Cataratas del Iguazú International Airport (wd:Q1962002) | Cataratas del Iguazú International Airport (en) | 1 (xsd:int) |
| Cat Bi International Airport (wd:Q1425356)               | Cat Bi International Airport (en)               | 1 (xsd:int) |
| Cerro Largo International Airport (wd:Q1431059)          | Cerro Largo International Airport (en)          | 1 (xsd:int) |
| Cesária Évora Airport (wd:Q674514)                       | Cesária Évora Airport (en)                      | 1 (xsd:int) |
| César Manrique Lanzarote Airport (wd:Q1430865)           | César Manrique Lanzarote Airport (en)           | 1 (xsd:int) |

There are multiple international airports with exactly one runway. The query returns their labels and the number of runways, ordered by the airport label. For example, Abakan International Airport, Abel Santamaría Airport, Abraham González Airport, Adana Şakirpaşa Airport, and Addis Ababa Bole International Airport are some of the airports with exactly one runway.

[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 international airports have exactly one runway? Please provide their labels and the number of runways, and order by the airport label.

[Assistant]
To answer the question, I need to identify international airports and find those that have exactly one runway. Then I will retrieve their labels and the number of runways, ordering the results by the airport label.

Step 1: Identify the property or qualifier that indicates an airport is international.
Step 2: Identify the property that indicates the number of runways for an airport.
Step 3: Write a SPARQL query to find airports that are international and have exactly one runway, retrieving their labels and the number of runways, ordered by the label.

I will start by searching for the property related to "international airport" or "airport type" to identify international airports.

[Tool]
Top 10 property alternatives:
1. airline hub, also known as hub airport, hub (wd:P113 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): airport that serves as a hub for an airline
2. IATA airport code, also known as International Air Transport Association airport code, uio, IATA station code, IATA location identifier (wd:P238 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): three-letter identifier for designating airports, railway stations or cities (for airlines, see P229)
3. aerodrome reference point, also known as airfield reference point, airport reference point, ARP (wd:P2786 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): official coordinates for airport. Aeronautical publications use format with degrees, minutes and seconds concatenated, coordinate location
4. image of design plans, also known as plan view image, plan view, plan image, floor plan, design plan (wd:P3311 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): image representing the plan of a building or place, detail map
5. ICAO airport code, also known as ICAO aerodrome code, ICAO airfield code, International Civil Aviation Organization airport code (wd:P239 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): four-character alphanumeric identifier for designating airports (for airlines, see P230)
6. FAA airport code, also known as FAA LID (wd:P240 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): three-letter or four-letter alphanumeric code identifying United States airports
7. Ex-USSR internal airport code, also known as russian airport codes (wd:P5851 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): airport code similar to IATA codes but only for Russian and CEI airports
8. UTC date of spacecraft landing, also known as landing time, time of spacecraft landing, spacecraft landing time, spacecraft landing date, landing date (wd:P620 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): date of spacecraft landing in UTC
9. location of landing, also known as landing site, landing location (wd:P1158 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): location where the craft landed, significant place, location
10. Tierstimmenarchiv ID, also known as TSA, TSA ID (wd:P5397 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): identifier for a species in the Animal Sound Archive Berlin

[Assistant] The search for a property related to "international airport" did not yield a direct property indicating if an airport is international. Instead, I will try to identify international airports by their instance or subclass type. I will search for the entity "international airport" to see if there is a specific class or entity for it.

[Tool]
Top 10 entity alternatives:
1. international airport (wd:Q644371): airport serving international destinations
2. International Airport (wd:Q55614529): 1985 film directed by Don Chaffey
3. Domodedovo International Airport, also known as Moscow-Domodedovo Airport, UUDD, Moscow International Airport, Moscow Domodedovo Airport, Moscow Airport (wd:Q186614): international airport serving Moscow, Russia
4. John F. Kennedy International Airport, also known as Kennedy International Airport, New York International Airport, KJFK, JFK International Airport, Kennedy International (wd:Q8685): international airport in New York, United States
5. John F. Kennedy International Airport, also known as Idlewild Airport, Kennedy International, JFK International Airport, KJFK, JFK Airport (wd:Q8685): international airport in New York, United States
6. Sheremetyevo International Airport, also known as Moscow Airport, Moscow International Airport, Sheremetyevo Airport, SVO, UUEE (wd:Q192733): international airport serving Moscow, Russia
7. Istanbul-Atatürk, also known as LTBA, Istanbul Atatürk Airport, Istanbul Ataturk Airport, ISL, Atatürk International Airport (wd:Q86473): international airport in Istanbul, Turkey
8. Dubai International Airport, also known as DXB, OMDB (wd:Q193439): international airport in Dubai, United Arab Emirates
9. Singapore Changi Airport, also known as WSSS, Changi Airport Singapore, SIN, Changi Airport, Changi International Airport (wd:Q32159): international airport in Singapore
10. Tokyo International Airport, also known as Haneda Airport, HND, RJTT (wd:Q204853): international airport serving Tokyo, Japan

[Assistant]
There is an entity "international airport" (wd:Q644371) which represents airports serving international destinations. I will use this entity to identify international airports by checking if an airport is an instance of or subclass of this entity.

Next, I need to find the property that indicates the number of runways for an airport. I will search for properties related to "runway count" or "number of runways."

[Tool]
Top 10 property alternatives:
1. runway, also known as RWY (wd:P529 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): name (direction) of runway at airport/airfield/airstrip
2. ICAO airport code, also known as ICAO aerodrome code, ICAO airfield code, International Civil Aviation Organization airport code (wd:P239 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): four-character alphanumeric identifier for designating airports (for airlines, see P230)
3. aerodrome reference point, also known as airfield reference point, airport reference point, ARP (wd:P2786 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): official coordinates for airport. Aeronautical publications use format with degrees, minutes and seconds concatenated, coordinate location
4. number of lanes, also known as number of lanes of that road in a direction, lanes number (wd:P10367 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): number of lanes on this road in a given direction
5. number of platform tracks, also known as platform tracks, Tracks (wd:P1103 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): number of tracks served by the platforms at a railway station
6. number of branches, also known as branches, store count, shop count, number of supermakerts, number of shops (wd:P8368 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): number of branches or stores affiliated with a chain, brand or company
7. image of design plans, also known as plan view image, plan view, plan image, floor plan, design plan (wd:P3311 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): image representing the plan of a building or place, detail map
8. takeoff and landing capability (wd:P1956 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): type of takeoff and landing the aircraft is designed to operate
9. wheelbase, also known as wheelbases (wd:P3039 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): horizontal distance between the centers of the front and rear wheels
10. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): the number of parts that a work comprises

[Assistant]
The property "runway" (wdt:P529) is related to the name or direction of runways at an airport. This property can be used to count the number of runways by counting the distinct values of this property for each airport.

Now I will write a SPARQL query to find airports that are instances of "international airport" (wd:Q644371) and have exactly one runway (count of wdt:P529 = 1). I will retrieve their labels and the number of runways, ordering the results by the airport label.

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| airport                                                  | airportLabel                                    | numRunways  |
| -------------------------------------------------------- | ----------------------------------------------- | ----------- |
| Abakan International Airport (wd:Q558204)                | Abakan International Airport (en)               | 1 (xsd:int) |
| Abel Santamaría Airport (wd:Q3496664)                    | Abel Santamaría Airport (en)                    | 1 (xsd:int) |
| Abraham González Airport (wd:Q2233076)                   | Abraham González Airport (en)                   | 1 (xsd:int) |
| Adana Şakirpaşa Airport (wd:Q1430728)                    | Adana Şakirpaşa Airport (en)                    | 1 (xsd:int) |
| Addis Ababa Bole International Airport (wd:Q44923)       | Addis Ababa Bole International Airport (en)     | 1 (xsd:int) |
| ...                                                      | ...                                             | ...         |
| Cataratas del Iguazú International Airport (wd:Q1962002) | Cataratas del Iguazú International Airport (en) | 1 (xsd:int) |
| Cat Bi International Airport (wd:Q1425356)               | Cat Bi International Airport (en)               | 1 (xsd:int) |
| Cerro Largo International Airport (wd:Q1431059)          | Cerro Largo International Airport (en)          | 1 (xsd:int) |
| Cesária Évora Airport (wd:Q674514)                       | Cesária Évora Airport (en)                      | 1 (xsd:int) |
| César Manrique Lanzarote Airport (wd:Q1430865)           | César Manrique Lanzarote Airport (en)           | 1 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies international airports with exactly one runway by counting the runways (wdt:P529) for each airport instance of international airport (wd:Q644371). It returns the airport identifiers, their English labels, and the number of runways, ordered by the airport label as requested. The use of OPTIONAL for labels and filtering by English language is appropriate. The query results and answer summary are consistent and complete. No further refinement is necessary.