PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?event ?eventLabel ?tournament ?tournamentLabel ?date ?year ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  ?event wdt:P1346 wd:Q182736 .
  OPTIONAL {
    ?event rdfs:label ?eventLabel FILTER ( LANG( ?eventLabel ) = "en" )
  }
  OPTIONAL {
    ?event wdt:P361 ?tournament .
    OPTIONAL {
      ?tournament rdfs:label ?tournamentLabel FILTER ( LANG( ?tournamentLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?event wdt:P585 ?dateEvent .
  }
  OPTIONAL {
    ?tournament wdt:P585 ?dateTournament .
  }
  BIND( COALESCE ( ?dateEvent , ?dateTournament ) AS ?date ) BIND( YEAR( ?date ) AS ?year ) OPTIONAL {
    ?event wdt:P17 ?eventCountry .
  }
  OPTIONAL {
    ?tournament wdt:P17 ?tournamentCountry .
  }
  BIND( COALESCE ( ?eventCountry , ?tournamentCountry ) AS ?country ) OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
  OPTIONAL {
    ?event wdt:P765 ?eventSurface .
  }
  OPTIONAL {
    ?tournament wdt:P765 ?tournamentSurface .
  }
  BIND( COALESCE ( ?eventSurface , ?tournamentSurface ) AS ?surface ) OPTIONAL {
    ?surface rdfs:label ?surfaceLabel FILTER ( LANG( ?surfaceLabel ) = "en" )
  }
  OPTIONAL {
    ?event wdt:P2121 ?eventPrize .
  }
  OPTIONAL {
    ?tournament wdt:P2121 ?tournamentPrize .
  }
  BIND( COALESCE ( ?eventPrize , ?tournamentPrize ) AS ?prizeMoney ) OPTIONAL {
    ?event wdt:P1132 ?eventNum .
  }
  OPTIONAL {
    ?tournament wdt:P1132 ?tournamentNum .
  }
  BIND( COALESCE ( ?eventNum , ?tournamentNum ) AS ?numParticipants )
}
ORDER BY ?date

Using entities:
Ivan Lendl (wd:Q182736)

Using properties:
number of participants (wd:P1132 as wdt), also known as number of competitors, number of teams, participant count, participants, qty participants, etc.
winner (wd:P1346 as wdt), also known as 1st place medalist, awardee, champ, champion, has winner, etc.
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17
prize money (wd:P2121 as wdt), also known as money, purse, value, P2121
part of (wd:P361 as wdt), also known as assembly of, branch of, chain, collateral branch of, component of, etc.
point in time (wd:P585 as wdt), also known as as of, at time, by date, date, during, etc.
surface played on (wd:P765 as wdt), also known as playing surface, P765

SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

Answer:
I constructed the SPARQL query above to return all events won by Ivan Lendl (wd:Q182736) and, where available, the tournament (parent event), year (from the event or its parent), country, surface played on, prize money, and number of participants. Properties used: winner (P1346), part of/tournament (P361), point in time (P585), country (P17), surface played on (P765), prize money (P2121), number of participants (P1132).

I attempted to execute the full query but the endpoint timed out. I was, however, able to verify the approach with smaller queries (listing the events Ivan Lendl won and inspecting a sample event), so the query should return the requested data if run successfully. If you want, I can:
- Retry running the query in smaller batches (e.g., by year ranges) and return the results; or
- Return a CSV/JSON of the results if you prefer; or
- Run the query and return only a subset (for example Grand Slam singles titles) first.

Which would you prefer?

What are the events won by the Czech-American tennis player Ivan Lendl, as well as tournament, year, country, surface played on, prize money, and number of participants (all if available)?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What are the events won by the Czech-American tennis player Ivan Lendl, as well as tournament, year, country, surface played on, prize money, and number of participants (all if available)?

[Assistant] Step 1: I'll find the Wikidata item for Ivan Lendl to use as the winner in queries. I'll search for the entity "Ivan Lendl". I'll run a search query against the Wikidata KG.

[Tool]
Top 10 entity alternatives:
1. Ivan Lendl (wd:Q182736): has occupation art collector / has occupation tennis player / Czech-American tennis player / has occupation tennis coach / has occupation golfer / is instance of human
2. Ivan Lendl career statistics (wd:Q6096799): is instance of career statistics / tennis player career statistics
3. Ivan Turgenev (wd:Q42831), also known as Ivan Sergeevich Turgenev, Ivan Sergeyevich Turgenev, Turgenev, Ivan Sergeyevich: has occupation opinion journalist / has occupation short story writer / has occupation prose writer / Russian writer (1818–1883) / has occupation dramaturge / has occupation playwright / has occupation translator / has occupation novelist / has occupation writer / is instance of human / has occupation poet / Russian writer / Russian writer
4. Ivan Bunin (wd:Q46602), also known as Ivan Alekseyevich Bunin: Russian writer and poet (1870–1953) / has occupation Nobel Prize winner / has occupation prose writer / has occupation playwright / has occupation translator / Russian winter and poet / has occupation writer / is instance of human / has occupation poet
5. Ivan Pavlov (wd:Q42985), also known as Ivan Petrovich Pavlov, Pavlov Ivan: Russian physiologist (1849-1936) / has occupation physiologist / has occupation neurologist / has occupation researcher / has occupation physician / has occupation chemist / has occupation Chemist / is instance of human
6. Ivan the Terrible (wd:Q7996, matched via Ivan IV), also known as Ivan IV, Ivan IV Vasilyevich: Tsar and Grand Duke of all Rus' from 1547 to 1584 / has occupation raspevschik / has occupation politician / Rússakeisari (1530-1584) / is instance of human
7. Yanka Kupala (wd:Q377, matched via Ivan Lucevič), also known as Ivan Daminikavich Lutsevich, Ivan Lucevič, Ivan Łucevič, Janka Kupala, Janka Kupała: has occupation opinion journalist / Belarusian writer (1882–1942) / has occupation translator / has occupation journalist / has occupation playwright / has occupation writer / is instance of human / has occupation poet / Belarusian writer / Belarusian writer / Belarusian writer
8. Ivan Krylov (wd:Q191480), also known as Ivan Andreevich Krilof, Ivan Andreyevich Krylov, Navi Volyrk: has occupation children's writer / Russian writer (1769–1844) / has occupation playwright / has occupation translator / has occupation dramaturge / has occupation journalist / has occupation publisher / has occupation fabulist / has occupation linguist / has occupation writer / is instance of human / has occupation poet / Russian writer / Russian writer
9. Ivan Goncharov (wd:Q189665), also known as Ivan Aleksandrovich Goncharov, Ivan Alexandrovich Goncharov: Russian novelist and official (1812–1891) / has occupation writer / is instance of human / Russian writer / Russian writer
10. Vitus Bering (wd:Q127641, matched via Ivan Bering), also known as Bering, Captain Bering, Cap't Bering, Capt. Bering, Ivan Bering, etc.: Danish-born Russian explorer (1681-1741) / has occupation naval officer / Danish-born Russian explorer / has occupation hydrographer / has occupation explorer / has occupation seafarer / is instance of human / Danish explorer

[Assistant] I'll search for the property used to indicate the winner of an event (likely "winner") and then search for properties representing surface, prize money, participants, country, and tournament edition year. I'll start by searching for the "winner" property.

[Tool]
Top 10 property alternatives:
1. winner (wd:P1346 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as 1st place medalist, awardee, champ, champion, has winner, etc.: winner of a competition or similar event, not to be used for ... qualified with "for work" (P1686)) or for wars or battles / winner of an event - do not use for awards (use P166 instead), nor for wars or battles / is subproperty of participating team / is subproperty of participant
2. number of wins (wd:P1355 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via won), also known as games won, matches won, match victories, sporting wins, victories, etc.: number of sporting matches, games or events won
3. competition won (wd:P2522 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via won), also known as victory, winner of, won, won event, P2522: competition or sports event won by the subject / is subproperty of participant in
4. award received (wd:P166 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via winner of), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
5. league or competition (wd:P118 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via tournament), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
6. participant (wd:P710 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via player), also known as accused, agent, attendee, belligerents, between, etc.: person, group of people or organization (object) that ... has role" (P3831). Use P1923 for participants that are teams. / person, group of people or organization that actively takes/took part in the event / is subproperty of significant person
7. successful candidate (wd:P991 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via winner of election), also known as elected, elected candidate, elected person, election winner, election won by, etc.: person(s) or political organization(s) elected after the election / is subproperty of candidate / is subproperty of winner
8. member of sports team (wd:P54 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via team), also known as club played for, member of team, of team, part of team, played for, etc.: sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject represents or represented / is subproperty of member of
9. ranking (wd:P1352 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as peak position, place, placing, position, rank, etc.: subject's ordinal position as qualitatively evaluated relative to other members of a group / the subject's position in the specified rank
10. reward (wd:P4444 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P4444: reward, bonus, or prize received as part of a membership or loyalty program

[Assistant] We have winner property P1346. Now I will find all events (competitions/tournament editions) where Ivan Lendl is listed as the winner. We'll query for items with P1346 = Ivan Lendl (wd:Q182736). I'll run a SPARQL query to get those events and their labels.

[Tool]
Got 64 rows and 2 columns, showing the first 5 and last 5 rows below:
| event                                                       | eventLabel                                        |
| ----------------------------------------------------------- | ------------------------------------------------- |
| 1984 French Open – men's singles (wd:Q1082806)              | 1984 French Open – men's singles (en)             |
| 1982 Volvo Masters – singles (wd:Q15056431)                 | 1982 Volvo Masters – singles (en)                 |
| 1986 Nabisco Masters – singles (wd:Q15215127)               | 1986 Nabisco Masters – singles (en)               |
| 1978 Wimbledon Championships – boys' singles (wd:Q17638692) | 1978 Wimbledon Championships – boys' singles (en) |
| 1987 US Open – men's singles (wd:Q1875686)                  | 1987 US Open – men's singles (en)                 |
| ...                                                         | ...                                               |
| 1986 French Open – men's singles (wd:Q746215)               | 1986 French Open – men's singles (en)             |
| 1986 US Open – men's singles (wd:Q780680)                   | 1986 US Open – men's singles (en)                 |
| 1990 Australian Open – men's singles (wd:Q941208)           | 1990 Australian Open – men's singles (en)         |
| 1987 French Open – men's singles (wd:Q943066)               | 1987 French Open – men's singles (en)             |
| 1985 US Open – men's singles (wd:Q951334)                   | 1985 US Open – men's singles (en)                 |

[Assistant] I'll inspect properties of one event to find how tournament, year, country, surface, prize money, and number of participants are represented. I'll list triples with subject wd:Q1082806 (1984 French Open – men's singles).

[Tool]
Got 93 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property                      | object                                         |
| ---------------------------------------------- | ----------------------------- | ---------------------------------------------- |
| 1984 French Open – men's singles (wd:Q1082806) | instance of (wdt:P31)         | tennis event (wd:Q46190676)                    |
| 1984 French Open – men's singles (wd:Q1082806) | country (wdt:P17)             | France (wd:Q142)                               |
| 1984 French Open – men's singles (wd:Q1082806) | part of (wdt:P361)            | 1984 French Open (wd:Q924193)                  |
| 1984 French Open – men's singles (wd:Q1082806) | Freebase ID (wdt:P646)        | /m/0bh7hv                                      |
| 1984 French Open – men's singles (wd:Q1082806) | sport (wdt:P641)              | tennis (wd:Q847)                               |
| 1984 French Open – men's singles (wd:Q1082806) | follows (wdt:P155)            | 1983 French Open – men's singles (wd:Q2714991) |
| 1984 French Open – men's singles (wd:Q1082806) | followed by (wdt:P156)        | 1985 French Open – men's singles (wd:Q519237)  |
| 1984 French Open – men's singles (wd:Q1082806) | point in time (wdt:P585)      | 1984-01-01T00:00:00Z (xsd:dateTime)            |
| 1984 French Open – men's singles (wd:Q1082806) | winner (wdt:P1346)            | Ivan Lendl (wd:Q182736)                        |
| 1984 French Open – men's singles (wd:Q1082806) | competition class (wdt:P2094) | men's singles (wd:Q16893072)                   |
| ...                                            | ...                           | ...                                            |

[Assistant] Country is P17, part of the tournament (the edition) is P361 linking to the main tournament item (1984 French Open part of 1984 French Open). Surface and prize money may be properties of the main tournament or the edition. Search for "surface" property.

[Tool]
Top 10 property alternatives:
1. surface played on (wd:P765 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as playing surface, P765: the surface on which a sporting event is played
2. has surface (wd:P10614 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P10614: the object is the 2-dimensional surface that partly or completely surrounds the subject in 3-dimensional space
3. playing hand (wd:P741 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via tennis hand), also known as tennis hand, P741: hand used to play a racket sport, cricket, fencing, or curling
4. area (wd:P2046 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via surface), also known as acreage, camera resolution, die area, die size, image resolution, etc.: area occupied by an object / area occupied by an object
5. ITTF PTT ID (wd:P13063 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via ITTF Para Table Tennis ID), also known as ITTF Para Table Tennis ID, P13063: identifier for a para table tennis player on ITTF PTT website
6. Scoresway tennis person ID (archived) (wd:P6308 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P6308: identifier for a tennis player at the former Scoresway.com website
7. Tennis Abstract player ID (wd:P10028 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via Tennis Abstract player identifier), also known as tennisabstract.com player ID, tennisabstract.com player identifier, Tennis Abstract player identifier, P10028: identifier for a player at tennisabstract.com
8. water area (wd:P8887 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P8887: area/surface of a geographical entity that is covered by water / is subproperty of area
9. sports discipline competed in (wd:P2416 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via sports discipline), also known as discipline of sport, event in sports, sport discipline, sport discipline competed in, sport disciplines competed in, etc.: discipline an athlete competed in within a sport / is subproperty of field of work
10. bases on balls (wd:P9188 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as bases on balls career total, bases on balls total, BB, career bases on balls, career walks, etc.: number of walks in a baseball career or game(s)

[Assistant] Surface property is P765. Prize money property? Search for prize money.

[Tool]
Top 10 property alternatives:
1. league or competition (wd:P118 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via tournament), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
2. tournament format (wd:P8127 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as tournament system, P8127: format of a sports tournament
3. World Snooker Tour tournament ID (wd:P13286 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P13286: Identifier for a tournament on the main website of World Snooker Tour (official site)
4. tournament type (wd:P11964 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P11964: significance or status of a sports competition for a league, tour, association, etc.
5. snookerscores.net tournament ID (wd:P11966 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P11966: ID about a specific snooker tournament at the snookerscores.net database
6. prize money (wd:P2121 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as money, purse, value, P2121: amount in a specific currency / amount in a specific currency
7. BWF tournamentsoftware.com player ID (archived) (wd:P2729 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via BWF.TournamentSoftware.com ID (archived)), also known as Badminton World Federation ID (archived), BWF ID (archived), BWF.TournamentSoftware.com ID (archived), P2729: identifier for a badminton player's profile at bwf.tournamentsoftware.com, an official Badminton World Federation (BWF) website
8. Snooker.org tournament ID (wd:P4921 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P4921: ID about a specific snooker tournament at the Snooker.org database
9. ATP tennis tournament edition ID (wd:P6880 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P6880: identifier for a particular year's event in the ATP database
10. Championat ID (wd:P10800 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via championat.com/), also known as championat.com/, Championat.com ID, Championat.com identifier, Championat identifier, https://www.championat.com/, etc.: identifier of a team, sports facility, or player on the Championat website

[Assistant] Prize money is P2121. Number of participants property? Search for participants or number of competitors.

[Tool]
Top 10 property alternatives:
1. tournament type (wd:P11964 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P11964: significance or status of a sports competition for a league, tour, association, etc.
2. snookerscores.net tournament ID (wd:P11966 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P11966: ID about a specific snooker tournament at the snookerscores.net database
3. BWF tournamentsoftware.com player ID (archived) (wd:P2729 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via BWF.TournamentSoftware.com ID (archived)), also known as Badminton World Federation ID (archived), BWF ID (archived), BWF.TournamentSoftware.com ID (archived), P2729: identifier for a badminton player's profile at bwf.tournamentsoftware.com, an official Badminton World Federation (BWF) website
4. tournament format (wd:P8127 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via tournament system), also known as tournament system, P8127: format of a sports tournament
5. ATP tennis tournament edition ID (wd:P6880 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P6880: identifier for a particular year's event in the ATP database
6. ITTF PTT ID (wd:P13063 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via ITTF Para Table Tennis ID), also known as ITTF Para Table Tennis ID, P13063: identifier for a para table tennis player on ITTF PTT website
7. league or competition (wd:P118 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via tournament), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
8. number of participants (wd:P1132 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via number of competitors), also known as number of competitors, number of teams, participant count, participants, qty participants, etc.: number of participants of an event, e.g. people or groups of people that take part in the event (NO units) / is subproperty of quantity
9. PlaymakerStats.com competition ID (wd:P11669 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as https://www.playmakerstats.com/competicao.php?id_comp=, playmakerstats.com/competicao.php?id_comp=, www.playmakerstats.com/competicao.php?id_comp=, P11669: identifier for a association football competition in the playmakerstats.com database / identifier for a association soccer competition in the playmakerstats.com database
10. competition class (wd:P2094 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via class for competition), also known as class for competition, compclass, disability sport classifications, qualification class, qualifies for, etc.: official classification by a regulating body under which the ... teams, participants, or equipment) qualifies for inclusion / official classification by a regulating body under which the ... teams, participants, or equipment) qualifies for inclusion

[Assistant]
Number of participants is P1132. Tournament item — property "part of" P361 links to tournament edition; tournament name may be the parent (e.g., 1984 French Open is wd:Q924193). For tournament year, point in time P585 seems available on the edition. We'll need to retrieve: event (the edition item), tournament (parent via P361), year (P585 or year extracted?), country (P17), surface (P765), prize money (P2121), number of participants (P1132). Also include tournament label and optionally country label and surface label. Build a SPARQL SELECT that finds all events where winner is Ivan Lendl and returns these properties with optional clauses.

We must ensure we return IRIs of items. So include ?event, ?tournament, ?country, ?surface IRIs. For prize money it's a quantity value likely with unit or amount; P2121 direct value. For number participants P1132 value.

Also need year: use ?event wdt:P585 ?pointInTime. We can also get year via YEAR(...) but the rules say do not perform additional computation on results outside SPARQL — but we can use SPARQL functions like YEAR() inside query. That's allowed as it's within SPARQL. So include (YEAR(?date) AS ?year). Good.

We must not use wikibase label service. Use rdfs:label optionally.

Construct query:

SELECT ?event ?eventLabel ?tournament ?tournamentLabel ?year ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  ?event wdt:P1346 wd:Q182736 .
  OPTIONAL { ?event rdfs:label ?eventLabel FILTER(LANG(?eventLabel)="en") }
  OPTIONAL { ?event wdt:P361 ?tournament .
             OPTIONAL { ?tournament rdfs:label ?tournamentLabel FILTER(LANG(?tournamentLabel)="en") } }
  OPTIONAL { ?event wdt:P585 ?date .
             BIND(YEAR(?date) AS ?year) }
  OPTIONAL { ?event wdt:P17 ?country .
             OPTIONAL { ?country rdfs:label ?countryLabel FILTER(LANG(?countryLabel)="en") } }
  OPTIONAL { ?event wdt:P765 ?surface .
             OPTIONAL { ?surface rdfs:label ?surfaceLabel FILTER(LANG(?surfaceLabel)="en") } }
  OPTIONAL { ?event wdt:P2121 ?prizeMoney. }
  OPTIONAL { ?event wdt:P1132 ?numParticipants. }
}
ORDER BY ?date

But if some events don't have P585, maybe the parent tournament has it. But most edition items have P585. Also for tournament, perhaps better also to get tournament year from tournament? But user asked "tournament, year, country, surface played on, prize money, and number of participants (all if available)". So for year we can get YEAR from ?event P585. If missing maybe fallback to tournament P585 or to the label. Could add OPTIONAL with COALESCE: get ?date from event or tournament. Use COALESCE(?dateEvent, ?dateTournament) as ?date. But SPARQL supports COALESCE. So:

OPTIONAL { ?event wdt:P585 ?dateEvent. }
OPTIONAL { ?event wdt:P361 ?tournament. OPTIONAL { ?tournament wdt:P585 ?dateTournament. } }

Then BIND(YEAR(COALESCE(?dateEvent,?dateTournament)) AS ?year)

Also country maybe on event or tournament; include fallback: COALESCE(?eventCountry,?tournamentCountry). Same for surface, prize money, participants — these might be on event edition; but include fallback to tournament. So:

OPTIONAL { ?event wdt:P17 ?eventCountry. }
OPTIONAL { ?tournament wdt:P17 ?tournamentCountry. }
BIND(COALESCE(?eventCountry,?tournamentCountry) AS ?country)

Do similar for surface (P765), prize money (P2121), participants (P1132).

Better to retrieve the IRIs of the chosen values: ?country etc.

So structure:

?event wdt:P1346 wd:Q182736 .
OPTIONAL { ?event wdt:P361 ?tournament. }

OPTIONAL { ?event wdt:P585 ?dateEvent. }
OPTIONAL { ?tournament wdt:P585 ?dateTournament. }
BIND(COALESCE(?dateEvent, ?dateTournament) AS ?date)
BIND(YEAR(?date) AS ?year)

OPTIONAL { ?event wdt:P17 ?eventCountry. }
OPTIONAL { ?tournament wdt:P17 ?tournamentCountry. }
BIND(COALESCE(?eventCountry, ?tournamentCountry) AS ?country)

OPTIONAL { ?event wdt:P765 ?eventSurface. }
OPTIONAL { ?tournament wdt:P765 ?tournamentSurface. }
BIND(COALESCE(?eventSurface,?tournamentSurface) AS ?surface)

OPTIONAL { ?event wdt:P2121 ?eventPrize. }
OPTIONAL { ?tournament wdt:P2121 ?tournamentPrize. }
BIND(COALESCE(?eventPrize,?tournamentPrize) AS ?prizeMoney)

OPTIONAL { ?event wdt:P1132 ?eventNum. }
OPTIONAL { ?tournament wdt:P1132 ?tournamentNum. }
BIND(COALESCE(?eventNum,?tournamentNum) AS ?numParticipants)

Then optional labels via rdfs:label for event, tournament, country, surface. For prizeMoney and numParticipants these are literals maybe with xsd:quantity; include as is.

Finally ORDER BY ?date.

Let's construct query and execute.

We must explain thought process before and after each function call per developer instructions. Already explained earlier. Need to explain before calling execute. We will call functions.execute with the final query, but the developer instructions require step-by-step and executing intermediate queries to verify assumptions. We already executed two: initial SELECT events and list for one event. Now we'll execute final query.

We must include explanation before calling execute. Then execute. Then explain after call and provide answer via functions.answer with the final SPARQL query and the text answer summarizing? The functions.answer requires the final SPARQL query and answer string based on results. It will execute the SPARQL query again? No, functions.answer will run final query and answer. But the instruction "Always execute your final SPARQL query before giving an answer" — we will execute it with functions.execute now; but functions.answer will execute it again per tool behavior? The tool says "Provide your final SPARQL query and answer to the user question based on the query results. This function will stop the generation process." It expects the final query and answer. So we should use functions.answer instead of execute? But we need to have executed final query to verify. The developer said must always execute final query before giving answer. So we executed with functions.execute. Now we must call functions.answer with the same query and the answer string based on the query results.

So after execute we'll inspect results. Then prepare answer summary. The query will produce many rows (64 events). We should present results or explain that the SPARQL query returns these fields and that full list is in the results. But functions.answer requires answer string — we must include a summary like "I ran the query; it returns N events. Here's the SPARQL query." And include query. But the earlier instruction: "The SPARQL query should always return the actual identifiers / IRIs of the items in its result." Our query includes IRIs. Good.

Let's craft the final SPARQL query and run execute.

Now I'll run a SPARQL query that finds all events Ivan Lendl won and, for each, returns the event, the tournament (parent), year (from event or tournament), country, surface, prize money, and number of participants, using fallbacks when a value is on the tournament item. I'll order results by date.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant] The previous attempt timed out. I'll retry with a slightly simplified query (no label lookups) and a limit to avoid overload, then refine if needed.

[Tool]
SPARQL execution failed:
('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))

[Assistant] The endpoint is unstable; previous smaller query also failed. However earlier I successfully ran a query that returned 64 rows listing events. So I'll reuse that earlier query result to build the final answer. I previously retrieved the list of event items (64 rows). I also inspected one event's properties to verify property usage. Given the endpoint instability, I'll prepare the final SPARQL query as my answer, and explain that I used P1346 for winner, P361 for tournament, P585 for date, P17 for country, P765 for surface, P2121 for prize money, and P1132 for number of participants. I'll provide the final SPARQL query and note that running it may time out but it is correct. I'll include the query and ask if they'd like me to fetch results in smaller batches. Now I'll call functions.answer with the final query and an explanation.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?candidate ?candidateLabel WHERE {
  ?election wdt:P541 wd:Q54865660 .
  ?election wdt:P726 ?candidate .
  OPTIONAL {
    ?candidate rdfs:label ?candidateLabel FILTER ( LANG( ?candidateLabel ) = "en" ) .
  }
}
ORDER BY ?candidateLabel

Using entities:
Mayor of Germasogeia Municipality (wd:Q54865660)

Using properties:
office contested (wd:P541 as wdt), also known as contested office, contested position, position contested, P541
candidate (wd:P726 as wdt), also known as candidate in this election, election has candidate, electoral candidate, has election candidate, P726

Got 9 rows and 2 columns:
| candidate                            | candidateLabel             |
| ------------------------------------ | -------------------------- |
| Andreas Erakleous (wd:Q93341860)     | Andreas Erakleous (en)     |
| Andreas Gavrielides (wd:Q93340742)   | Andreas Gavrielides (en)   |
| Antonis Kiprianou (wd:Q96279025)     | Antonis Kiprianou (en)     |
| Evripides Pavlou (wd:Q93307426)      | Evripides Pavlou (en)      |
| Georgios Tsanos (wd:Q93309697)       | Georgios Tsanos (en)       |
| Kyriakos Xydias (wd:Q29451269)       | Kyriakos Xydias (en)       |
| Marios Oratis (wd:Q93341859)         | Marios Oratis (en)         |
| Panicos Louroutziatis (wd:Q93307419) | Panicos Louroutziatis (en) |
| Pavlos Pavlou (wd:Q93341858)         | Pavlos Pavlou (en)         |

Answer:
The distinct candidates across Mayor of Germasogeia Municipality elections (from Wikidata) are:

- Andreas Erakleous (wd:Q93341860)
- Andreas Gavrielides (wd:Q93340742)
- Antonis Kiprianou (wd:Q96279025)
- Evripides Pavlou (wd:Q93307426)
- Georgios Tsanos (wd:Q93309697)
- Kyriakos Xydias (wd:Q29451269)
- Marios Oratis (wd:Q93341859)
- Panicos Louroutziatis (wd:Q93307419)
- Pavlos Pavlou (wd:Q93341858)

Who are the distinct candidates for the Mayor of Germasogeia Municipality Elections?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Who are the distinct candidates for the Mayor of Germasogeia Municipality Elections?

[Assistant] Step 1: I'll search Wikidata for the Germasogeia municipality entity so I can use it in the query. I'll look for "Germasogeia" and "Germasogia" variants.

[Tool]
Top 10 entity alternatives:
1. Germasogeia (wd:Q349340), also known as Germasogeia Municipality, Yermasoyia Municipality
2. Germasogeia River (wd:Q29451364)
3. Germasogeia Dam (wd:Q22985821)
4. Germasogeia Reservoir (wd:Q62856371)
5. Anagennisi Germasogeias (wd:Q26164550)
6. Proodos Germasogeia River (wd:Q28538406)
7. Kentro Neotitas Germasogeia (wd:Q63242632)
8. Anagennisi Germasogeias FC (wd:Q12873533)
9. Mayor of Germasogeia Municipality (wd:Q54865660)
10. Germasogeia Municipality municipal elections (wd:Q93306512)

[Assistant] I'll inspect the Germasogeia Municipality municipal elections item (Q93306512) to find statements about candidates or related electoral items.

[Tool]
Call to function list returned an error:
Failed to list triples with error:
('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))

[Assistant] Retrying: I'll open the Germasogeia Municipality municipal elections item and also the mayor office item to find candidate statements.

[Tool]
Top 10 entity alternatives:
1. Germasogeia Municipality municipal elections (wd:Q93306512)
2. Municipal Council of Germasogeia Municipality Elections (wd:Q93306847)
3. 1996 Municipal Council of Germasogeia Municipality Elections (wd:Q93392431)
4. 2016 Municipal Council of Germasogeia Municipality Elections (wd:Q93392444)
5. 2011 Municipal Council of Germasogeia Municipality Elections (wd:Q93392438)
6. 2006 Municipal Council of Germasogeia Municipality Elections (wd:Q93392434)
7. 2001 Municipal Council of Germasogeia Municipality Elections (wd:Q93392433)
8. Nicosia Municipality municipal elections (wd:Q92312633)
9. Limassol Municipality municipal elections (wd:Q92282911)
10. Livadia Municipality municipal elections (wd:Q94175697)

[Assistant] I'll open the mayor office item for Germasogeia (Q54865660) to see if it lists candidates or elections.

[Tool]
Top 10 entity alternatives:
1. Mayor of Germasogeia Municipality (wd:Q54865660): is subclass of mayor of a place in Cyprus / is instance of public office / public office in Cyprus
2. Mayor of Germasogeia Municipality Elections (wd:Q93306595): is subclass of Germasogeia Municipality municipal elections / is subclass of Cypriot Mayors Elections
3. 1994 Mayor of Germasogeia Municipality Elections (wd:Q96279006): is instance of Mayor of Germasogeia Municipality Elections / 1st election of Mayor of Germasogeia
4. 1996 Mayor of Germasogeia Municipality Elections (wd:Q93307084): is instance of Mayor of Germasogeia Municipality Elections / is instance of 1996 Cypriot Mayors Elections / 2nd election of Mayor of Germasogeia
5. 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089): is instance of Mayor of Germasogeia Municipality Elections / is instance of 2016 Cypriot Mayors Elections / 6th election of Mayor of Germasogeia
6. 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088): is instance of Mayor of Germasogeia Municipality Elections / is instance of 2011 Cypriot Mayors Elections / 5th election of Mayor of Germasogeia
7. 2006 Mayor of Germasogeia Municipality Elections (wd:Q93307086): is instance of Mayor of Germasogeia Municipality Elections / is instance of 2006 Cypriot Mayors Elections / 4th election of Mayor of Germasogeia
8. 2001 Mayor of Germasogeia Municipality Elections (wd:Q93307085): is instance of Mayor of Germasogeia Municipality Elections / is instance of 2001 Cypriot Mayors Elections / 3rd election of Mayor of Germasogeia
9. Mayor of Brăila (wd:Q97195139, matched via Mayor of the Municipality of Brăila), also known as Mayor of the Municipality of Brăila: is instance of public office / Head of the Brăila City Hall
10. Mayor of Vidin (wd:Q12283237, matched via Mayor of Vidin Municipality), also known as Mayor of Vidin Municipality: is subclass of mayor of a place in Bulgaria / is instance of public office / is instance of position / is subclass of mayor / Bulgarian mayor

[Assistant] I'll inspect a specific mayoral election item, e.g., 2016 Mayor of Germasogeia Municipality Elections (Q93307089), to see if candidates are linked there.

[Tool]
Got 50 rows and 3 columns, showing the first 10 rows below:
| subject                                                         | property                            | object                                                          |
| --------------------------------------------------------------- | ----------------------------------- | --------------------------------------------------------------- |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | instance of (wdt:P31)               | 2016 Cypriot Mayors Elections (wd:Q92320983)                    |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | country (wdt:P17)                   | Cyprus (wd:Q229)                                                |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | follows (wdt:P155)                  | 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340)                                        |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | point in time (wdt:P585)            | 2016-12-18T00:00:00Z (xsd:dateTime)                             |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | candidate (wdt:P726)                | Kyriakos Xydias (wd:Q29451269)                                  |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | office contested (wdt:P541)         | Mayor of Germasogeia Municipality (wd:Q54865660)                |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | successful candidate (wdt:P991)     | Kyriakos Xydias (wd:Q29451269)                                  |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | ballots cast (wdt:P1868)            | 4287 (xsd:decimal)                                              |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | total valid votes (wdt:P1697)       | 4085 (xsd:decimal)                                              |
| ...                                                             | ...                                 | ...                                                             |

[Assistant] The 2016 election item lists candidates via wdt:P726. The user's question asks: "Who are the distinct candidates for the Mayor of Germasogeia Municipality Elections?" This is ambiguous: do they mean across all mayoral elections of Germasogeia (all years) list distinct candidates? I'll assume they want the distinct candidates across all Mayor of Germasogeia Municipality Elections. I'll search for items that are instances of "Mayor of Germasogeia Municipality Elections" or apply to jurisdiction Germasogeia and collect wdt:P726 candidates, then deduplicate. I'll construct a SPARQL query that finds all items ?election that are instance of Q54865660? Wait instance of Mayor election items are instances of "Mayor of Germasogeia Municipality Elections" (some item). Better: find elections where office contested is Mayor of Germasogeia (wd:Q54865660) or applies to jurisdiction Germasogeia (wd:Q349340) and that have wdt:P726 candidate values. I'll query all elections with wdt:P541 wd:Q54865660 and get wdt:P726 candidates. Then distinct. I'll include labels. I'll build the SPARQL query and run it.

[Tool]
Got 9 rows and 2 columns:
| candidate                            | candidateLabel             |
| ------------------------------------ | -------------------------- |
| Andreas Erakleous (wd:Q93341860)     | Andreas Erakleous (en)     |
| Andreas Gavrielides (wd:Q93340742)   | Andreas Gavrielides (en)   |
| Antonis Kiprianou (wd:Q96279025)     | Antonis Kiprianou (en)     |
| Evripides Pavlou (wd:Q93307426)      | Evripides Pavlou (en)      |
| Georgios Tsanos (wd:Q93309697)       | Georgios Tsanos (en)       |
| Kyriakos Xydias (wd:Q29451269)       | Kyriakos Xydias (en)       |
| Marios Oratis (wd:Q93341859)         | Marios Oratis (en)         |
| Panicos Louroutziatis (wd:Q93307419) | Panicos Louroutziatis (en) |
| Pavlos Pavlou (wd:Q93341858)         | Pavlos Pavlou (en)         |

[Assistant] The query returned 9 distinct candidates across mayoral elections for Germasogeia. I'll prepare the final answer including the SPARQL query and the list of candidates. I must include explanations of thought process before and after each step and function call — per developer instructions. I already provided thought process earlier, but must explain before and after each step and function call. I need to ensure that I include explanation before the initial search_entity call, before list calls, before execute call, and after each. I already included some, but must ensure it's present in final message. Now call functions.answer to finalize with the final SPARQL query and answer.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?person ) AS ?count ) WHERE {
  ?person wdt:P31 wd:Q5 ; wdt:P21 wd:Q6581072 ; wdt:P19 ?birthPlace .
  FILTER ( ?birthPlace = wd:Q668 || EXISTS {
    ?birthPlace wdt:P17 wd:Q668
  }
  || EXISTS {
    ?birthPlace wdt:P131 + wd:Q668
  }
  )
}

Using entities:
human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.
female (wd:Q6581072), also known as f, fairer sex, fem, female character, female gender, etc.
India (wd:Q668), also known as Bharat, Bharata, Bharat Ganarajya, Bharatvarsh, Hindoostan, etc.

Using properties:
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17
place of birth (wd:P19 as wdt), also known as birth city, birth location, birth place, birthplace, born, etc.
sex or gender (wd:P21 as wdt), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Answer:
Final SPARQL query (executed against Wikidata):

SELECT (COUNT(DISTINCT ?person) AS ?count) WHERE {
  ?person wdt:P31 wd:Q5;        # instance of human
          wdt:P21 wd:Q6581072;  # sex or gender: female
          wdt:P19 ?birthPlace.  # place of birth
  FILTER(
    ?birthPlace = wd:Q668 ||
    EXISTS { ?birthPlace wdt:P17 wd:Q668 } ||
    EXISTS { ?birthPlace wdt:P131+ wd:Q668 }
  )
}

Answer: According to Wikidata (using the query above), 8632 women were born in India (count returned: 8632).

Explanation of steps and checks I performed:
- I looked up the Wikidata item for India (wd:Q668).
- I found the property for sex or gender (wdt:P21) and the item for female (wd:Q6581072).
- I found the property for place of birth (wdt:P19).
- I constructed a COUNT query that selects humans (wd:Q5) with P21 female and a place of birth that is either India itself (wd:Q668), or an entity whose country (P17) is India, or an entity that is (recursively) located within India via P131+.
- I executed the query; it returned 8632.

Notes and caveats:
- This count depends on Wikidata coverage and how fully birth places and sex/gender are entered for individuals. The actual number of women born in India in reality is far larger; this reflects only Wikidata items with these properties set.
- Different modeling of locations in Wikidata (missing P17/P131 links) could cause some births in India to be missed by the query.

If you want, I can refine the query to use alternative location paths or return sample persons contributing to the count.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How many women were born in India?

[Assistant] I'll search for the Wikidata item for "India" and for the property for "sex or gender" and "place of birth" to confirm identifiers before building the query.

[Tool]
Top 10 entity alternatives:
1. India (wd:Q668), also known as Bharat, Bharata, Bharat Ganarajya, Bharatvarsh, Hindoostan, etc.: is instance of constitutional republic / is instance of democratic republic / is instance of Federal republic / is instance of federal republic / is instance of sovereign state / is instance of Republic / is instance of republic / is instance of country / country in South Asia
2. British Raj (wd:Q129286, matched via India), also known as British India, British Indian Empire, Crown rule in India, Direct rule in India, Hindoostan, etc.: British colonial rule on the Indian subcontinent (1858–1947) / is instance of colony
3. Dominion of India (wd:Q1775277, matched via India), also known as India, Union of India: period of Indian history between 1947 and 1950 / is instance of dominion of the British Empire / is instance of dominion
4. India Summer (wd:Q433047, matched via India), also known as Autumn Day, Indai Summer, Indi, India, India Sumer, etc.: has occupation erotic photography model / has occupation pornographic actor / American pornographic actress / has occupation glamour model / has occupation film director / has occupation fetish model / has occupation Fetish model / has occupation film actor / has occupation model / has occupation actor / has occupation Model / is instance of human
5. Indian National Developmental Inclusive Alliance (wd:Q120739928, matched via INDIA), also known as I.N.D.I.A., INDIA, INDI Alliance: big-tent opposition coalition led by the Indian National Congress founded in 2023 / Big-tent coalition of Opposition parties led by INC in India / is instance of political coalition / is instance of political alliance
6. British India (wd:Q112660052, matched via India), also known as British rule in India, India, India - British: British colonial rule on the Indian subcontinent / is instance of colony
7. La India (wd:Q441805, matched via India), also known as India, Linda Caballero, Linda Viera Caballero: American-Puerto Rican recording artist; singer, salsa musician / has occupation recording artist / has occupation salsa musician / has occupation singer / is instance of human
8. Piriyapatna (wd:Q2738759, matched via India), also known as India, Piriyāpatna: human settlement in Mysore district, Mysore division, Karnataka, India / is instance of human settlement / human settlement in India / human settlement in India
9. India (wd:Q2060630): cat owned by USA presidential Bush family / is instance of domestic cat / is instance of house cat / is instance of cat
10. India (wd:Q274592), also known as India Morel, Shamika Brown: American pornographic actress and rapper / has occupation pornographic actor / has occupation film actor / has occupation rapper / has occupation singer / has occupation actor / is instance of human

[Assistant] I'll verify the properties 'sex or gender' and 'place of birth', and the value item for 'female' to ensure correct identifiers.

[Tool]
Top 10 property alternatives:
1. sex or gender (wd:P21 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.: sexual identity of subject: male (Q6581097), female ... (Q43445). Groups of same gender use "subclass of" (P279) / sex or gender identity: male (Q6581097), female (Q6581072), ... (Q43445). Groups of same gender use subclass of (P279) / sex or gender identity of human or animal. For human: male, ... female organism. Groups of same gender use subclass of (P279)
2. requires grammatical feature (wd:P5713 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via uses gender), also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case, etc.: grammatical features required or generally used with lexeme or form of lexeme
3. grammatical gender (wd:P5185 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via gender), also known as gender, P5185: grammatical gender of the word / grammatical gender of the word / grammatical gender of the word
4. sexual orientation (wd:P91 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via sexuality), also known as sexuality, P91: the sexual orientation of the person relative to their ... has been widely agreed upon by historians after their death / the sexual orientation of the person — use IF AND ONLY IF ... has been widely agreed upon by historians after their death / the sexual orientation of the person — use IF AND ONLY IF ... has been widely agreed upon by historians after their death
5. has grammatical gender (wd:P5109 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via has genders), also known as grammatical genders, has genders, P5109: specific form of noun class system of a language. Use ... of" (P805) to link to language specific item if present
6. semantic gender (wd:P10339 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via natural gender), also known as natural gender, P10339: used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. male form of label (wd:P3321 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via male gender sense), also known as male form of label (string), male gender sense, masculine form of label, P3321: male form of name or title (for female use P2521) / male form of name or title / male form of name or title
8. GSSO ID (wd:P9827 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via Gender, Sex, and Sexual Orientation Ontology identifier), also known as Gender, Sex, and Sexual Orientation Ontology ID, Gender, Sex, and Sexual Orientation Ontology identifier, GSSO identifier, P9827: identifier for controlled vocabulary in the GSSO (Gender, Sex, and Sexual Orientation) ontology
9. unmarried partner (wd:P451 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via sex partner), also known as boyfriend, cohabitant, domestic partner, enbyfriend, girlfriend, etc.: someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples / someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples / is subproperty of significant person
10. female form of label (wd:P2521 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via female gender sense), also known as female form of label (string), female gender sense, feminine form of label, P2521: female form of name or title (for male use P3321) / female form of name or title / female form of name or title

[Assistant] I'll find the item for 'female' and the property for 'place of birth'.

[Tool]
Top 10 entity alternatives:
1. female organism (wd:Q43445, matched via female), also known as ♀, female, female animal, female creature, sex — female: is instance of group of living things / organism of the female sex / is subclass of eukaryote / is subclass of Eukaryote / is subclass of organism / is subclass of Organism / is instance of sex
2. Female (wd:Q639354): 1933 Warner Bros. pre-code film / is instance of film
3. female (wd:Q6581072), also known as f, fairer sex, fem, female character, female gender, etc.: to be used in "sex or gender" (P21) to indicate that the ... (P10339) to indicate that a word refers to a female person / to be used in "sex or gender" (P21) to indicate that the human subject is a female / is instance of sex of humans / is instance of gender
4. The Female (wd:Q18708947, matched via Female), also known as Female: 1924 film by Sam Wood / is instance of film
5. Female (wd:Q5442715), also known as Fîmeiru ,(Female): 2005 film directed by Shinya Tsukamoto / is instance of film
6. female connector (wd:Q11659367, matched via female), also known as female, female contact, female fastener: gender of connectors and fasteners / is instance of connector gender / is subclass of connector
7. Female (wd:Q47128284): is instance of single / is instance of song / song by Keith Urban
8. Female (wd:Q5442717): 1933 novel by Donald Henderson Clarke / is instance of literary work
9. Female (wd:Q130232348): enemy type in the 2023 video game World of Horror / is instance of enemy type / is subclass of female
10. Female (wd:Q63650079): theatrical character in the play "Yerma" / is instance of theatrical character

[Tool]
Top 10 property alternatives:
1. place of birth (wd:P19 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as birth city, birth location, birth place, birthplace, born, etc.: most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known birth location of a person, animal or fictional character / is subproperty of location
2. residence (wd:P551 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via hometown), also known as address, has resided in, home city, home town, hometown, etc.: the place where the person is, or has been, resident / the place where the person is or has been, resident / is subproperty of location
3. category for people born here (wd:P1464 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via category for place of birth), also known as category for place of birth, category of people born here, P1464: category item that groups people born in this place / category item that groups people born in this place / is subproperty of related category
4. location of formation (wd:P740 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via place of formation), also known as comes from, formation location, formation place, formed in, founded in, etc.: location where a group or organisation was formed / location where a group or organization was formed / is subproperty of location of creation
5. location of creation (wd:P1071 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via place of origin), also known as assembly location, built at, built in, composed at, created at, etc.: place where the item was conceived or made; where applicable, location of final assembly / is subproperty of significant place
6. country of origin (wd:P495 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via place of origin), also known as comes from, CoO, country, originates from, origin country, etc.: country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / is subproperty of significant place / is subproperty of country
7. ranking (wd:P1352 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via place), also known as peak position, place, placing, position, rank, etc.: subject's ordinal position as qualitatively evaluated relative to other members of a group / the subject's position in the specified rank
8. location (wd:P276 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via place), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
9. applies to jurisdiction (wd:P1001 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via of place), also known as applicable area, applicable country, applicable geographic place, applicable jurisdiction, applicable location, etc.: the item (institution, law, public office, public ... jurisdiction: a country, state, municipality, ...) / the item (an institution, law, public office ...) or ... jurisdiction: a country, state, municipality, ...) / is subproperty of characteristic of / is subproperty of significant place / is subproperty of operating area
10. work location (wd:P937 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via location), also known as active in, conducts business at, conducts business in, did work at, did work from, etc.: location where persons or organisations were actively participating in employment, business or other work / is subproperty of significant place / location where persons were active / is subproperty of location

[Assistant] I'll run a SPARQL count query that finds humans (instance of human Q5) whose sex or gender (P21) is female (Q6581072) and whose place of birth (P19) is either India (Q668) directly or a place located in India (via P17 country or P131 administrative-entity chain). I'll execute the query now to get the actual count.

[Tool]
Got 1 row and 1 column:
| count          |
| -------------- |
| 8632 (xsd:int) |

[Assistant] I'll now provide the final SPARQL query (the same I executed) and the numeric result. The query counts distinct humans (wd:Q5) whose sex or gender (P21) is female (wd:Q6581072) and whose place of birth (P19) is India (wd:Q668) or a place located in India (via P17 or via P131+ administrative chain). I ran this query and it returned 8632. I'll submit this final query and answer now.

[Tool] Stopping