PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?edition ?editionLabel ?tournament ?tournamentLabel ?date ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  {
    SELECT DISTINCT ?edition ?date WHERE {
      ?edition p:P1346 ?winStmt .
      ?winStmt ps:P1346 wd:Q182736 .
      OPTIONAL {
        ?winStmt pq:P585 ?date
      }
    }
  }
  OPTIONAL {
    ?edition wdt:P361 ?tournament .
  }
  OPTIONAL {
    ?edition wdt:P17 ?countryEdition .
  }
  OPTIONAL {
    ?tournament wdt:P17 ?countryTournament .
  }
  OPTIONAL {
    ?edition wdt:P276 ?location .
    ?location wdt:P17 ?countryLocation .
  }
  BIND( COALESCE ( ?countryEdition , ?countryTournament , ?countryLocation ) AS ?country ) OPTIONAL {
    ?edition wdt:P765 ?surfaceEdition .
  }
  OPTIONAL {
    ?tournament wdt:P765 ?surfaceTournament .
  }
  BIND( COALESCE ( ?surfaceEdition , ?surfaceTournament ) AS ?surface ) OPTIONAL {
    ?edition wdt:P2121 ?prizeMoney .
  }
  OPTIONAL {
    ?edition wdt:P1132 ?numParticipants .
  }
  OPTIONAL {
    ?edition rdfs:label ?editionLabel FILTER ( LANG( ?editionLabel ) = "en" )
  }
  OPTIONAL {
    ?tournament rdfs:label ?tournamentLabel FILTER ( LANG( ?tournamentLabel ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
  OPTIONAL {
    ?surface rdfs:label ?surfaceLabel FILTER ( LANG( ?surfaceLabel ) = "en" )
  }
}
ORDER BY DESC ( ?date )
LIMIT 500

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 p/ps), 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
- location (wd:P276 as wdt), also known as based in, city, from, held by, in, etc.
- 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 pq), 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:
('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))

Explanation:
I attempted to construct and execute a SPARQL query that lists all tournament editions Ivan Lendl won (using property P1346 'winner') and retrieves, where available: tournament series (P361), year/date (pq:P585 on the winner statement), country (edition P17 or tournament P17 or location P276->P17), surface (P765 on edition or tournament), prize money (P2121 on edition), and number of participants (P1132 on edition). I verified Ivan Lendl's Wikidata item (wd:Q182736) and confirmed editions where he is the winner with a simple query (which returned 64 editions). However, when trying to run the comprehensive query that gathers all optional details for those editions, the Wikidata endpoint repeatedly timed out (read timeout). I attempted a refined approach using a subquery that first selects the 64 editions and then joins only those to the optional properties to limit the scan, but the endpoint still timed out.

Because of the timeouts I could not get a final executed result to present here. Below is my best (final) SPARQL query attempt which is the query I tried to run; it should return edition IRIs and, when available, tournament, date, country, surface, prize money, and participant counts for editions won by Ivan Lendl. You can run it on a working Wikidata SPARQL endpoint (e.g., https://query.wikidata.org/) to obtain the full table. If you want, I can retry executing it later or break it into smaller batched queries to avoid timeouts.

Best SPARQL attempt:

SELECT DISTINCT ?edition ?editionLabel ?tournament ?tournamentLabel ?date ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  {
    SELECT DISTINCT ?edition ?date WHERE {
      ?edition p:P1346 ?winStmt .
      ?winStmt ps:P1346 wd:Q182736 .
      OPTIONAL { ?winStmt pq:P585 ?date }
    }
  }

  OPTIONAL { ?edition wdt:P361 ?tournament. }

  OPTIONAL { ?edition wdt:P17 ?countryEdition. }
  OPTIONAL { ?tournament wdt:P17 ?countryTournament. }
  OPTIONAL { ?edition wdt:P276 ?location . ?location wdt:P17 ?countryLocation. }
  BIND(COALESCE(?countryEdition, ?countryTournament, ?countryLocation) AS ?country)

  OPTIONAL { ?edition wdt:P765 ?surfaceEdition. }
  OPTIONAL { ?tournament wdt:P765 ?surfaceTournament. }
  BIND(COALESCE(?surfaceEdition, ?surfaceTournament) AS ?surface)

  OPTIONAL { ?edition wdt:P2121 ?prizeMoney. }
  OPTIONAL { ?edition wdt:P1132 ?numParticipants. }

  OPTIONAL { ?edition rdfs:label ?editionLabel FILTER(LANG(?editionLabel)="en") }
  OPTIONAL { ?tournament rdfs:label ?tournamentLabel FILTER(LANG(?tournamentLabel)="en") }
  OPTIONAL { ?country rdfs:label ?countryLabel FILTER(LANG(?countryLabel)="en") }
  OPTIONAL { ?surface rdfs:label ?surfaceLabel FILTER(LANG(?surfaceLabel)="en") }
}
ORDER BY DESC(?date)
LIMIT 500

If you prefer, I can also:
- Try smaller batched queries (e.g., querying 20 editions at a time using VALUES) to avoid timeouts and assemble the full result.
- Focus on a subset of events (e.g., Grand Slams and year-end championships) if that's sufficient.

Would you like me to retry with batching (and if so, any preference for batch size or which events to prioritize)?

I attempted to construct and execute a SPARQL query that lists all tournament editions Ivan Lendl won (using property P1346 'winner') and retrieves, where available: tournament series (P361), year/date (pq:P585 on the winner statement), country (edition P17 or tournament P17 or location P276->P17), surface (P765 on edition or tournament), prize money (P2121 on edition), and number of participants (P1132 on edition). I verified Ivan Lendl's Wikidata item (wd:Q182736) and confirmed editions where he is the winner with a simple query (which returned 64 editions). However, when trying to run the comprehensive query that gathers all optional details for those editions, the Wikidata endpoint repeatedly timed out (read timeout). I attempted a refined approach using a subquery that first selects the 64 editions and then joins only those to the optional properties to limit the scan, but the endpoint still timed out.

Because of the timeouts I could not get a final executed result to present here. Below is my best (final) SPARQL query attempt which is the query I tried to run; it should return edition IRIs and, when available, tournament, date, country, surface, prize money, and participant counts for editions won by Ivan Lendl. You can run it on a working Wikidata SPARQL endpoint (e.g., https://query.wikidata.org/) to obtain the full table. If you want, I can retry executing it later or break it into smaller batched queries to avoid timeouts.

Best SPARQL attempt:

SELECT DISTINCT ?edition ?editionLabel ?tournament ?tournamentLabel ?date ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  {
    SELECT DISTINCT ?edition ?date WHERE {
      ?edition p:P1346 ?winStmt .
      ?winStmt ps:P1346 wd:Q182736 .
      OPTIONAL { ?winStmt pq:P585 ?date }
    }
  }

  OPTIONAL { ?edition wdt:P361 ?tournament. }

  OPTIONAL { ?edition wdt:P17 ?countryEdition. }
  OPTIONAL { ?tournament wdt:P17 ?countryTournament. }
  OPTIONAL { ?edition wdt:P276 ?location . ?location wdt:P17 ?countryLocation. }
  BIND(COALESCE(?countryEdition, ?countryTournament, ?countryLocation) AS ?country)

  OPTIONAL { ?edition wdt:P765 ?surfaceEdition. }
  OPTIONAL { ?tournament wdt:P765 ?surfaceTournament. }
  BIND(COALESCE(?surfaceEdition, ?surfaceTournament) AS ?surface)

  OPTIONAL { ?edition wdt:P2121 ?prizeMoney. }
  OPTIONAL { ?edition wdt:P1132 ?numParticipants. }

  OPTIONAL { ?edition rdfs:label ?editionLabel FILTER(LANG(?editionLabel)="en") }
  OPTIONAL { ?tournament rdfs:label ?tournamentLabel FILTER(LANG(?tournamentLabel)="en") }
  OPTIONAL { ?country rdfs:label ?countryLabel FILTER(LANG(?countryLabel)="en") }
  OPTIONAL { ?surface rdfs:label ?surfaceLabel FILTER(LANG(?surfaceLabel)="en") }
}
ORDER BY DESC(?date)
LIMIT 500

If you prefer, I can also:
- Try smaller batched queries (e.g., querying 20 editions at a time using VALUES) to avoid timeouts and assemble the full result.
- Focus on a subset of events (e.g., Grand Slams and year-end championships) if that's sufficient.

Would you like me to retry with batching (and if so, any preference for batch size or which events to prioritize)?

SPARQL query over wikidata:
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?edition ?editionLabel ?tournament ?tournamentLabel ?date ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  {
    SELECT DISTINCT ?edition ?date WHERE {
      ?edition p:P1346 ?winStmt .
      ?winStmt ps:P1346 wd:Q182736 .
      OPTIONAL {
        ?winStmt pq:P585 ?date
      }
    }
  }
  OPTIONAL {
    ?edition wdt:P361 ?tournament .
  }
  OPTIONAL {
    ?edition wdt:P17 ?countryEdition .
  }
  OPTIONAL {
    ?tournament wdt:P17 ?countryTournament .
  }
  OPTIONAL {
    ?edition wdt:P276 ?location .
    ?location wdt:P17 ?countryLocation .
  }
  BIND( COALESCE ( ?countryEdition , ?countryTournament , ?countryLocation ) AS ?country ) OPTIONAL {
    ?edition wdt:P765 ?surfaceEdition .
  }
  OPTIONAL {
    ?tournament wdt:P765 ?surfaceTournament .
  }
  BIND( COALESCE ( ?surfaceEdition , ?surfaceTournament ) AS ?surface ) OPTIONAL {
    ?edition wdt:P2121 ?prizeMoney .
  }
  OPTIONAL {
    ?edition wdt:P1132 ?numParticipants .
  }
  OPTIONAL {
    ?edition rdfs:label ?editionLabel FILTER ( LANG( ?editionLabel ) = "en" )
  }
  OPTIONAL {
    ?tournament rdfs:label ?tournamentLabel FILTER ( LANG( ?tournamentLabel ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
  OPTIONAL {
    ?surface rdfs:label ?surfaceLabel FILTER ( LANG( ?surfaceLabel ) = "en" )
  }
}
ORDER BY DESC ( ?date )
LIMIT 500

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 p/ps), 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
- location (wd:P276 as wdt), also known as based in, city, from, held by, in, etc.
- 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 pq), 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

Execution result:
SPARQL execution failed:
('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))

[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.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties, and notes:
  - P106 = occupation. Use wdt:P106 to get occupations and fetch English labels with rdfs:label + FILTER(LANG(?label)="en"). When returning human occupations confirm the subject is human (wdt:P31 wd:Q5) to avoid non-human items.
  - Population (P1082) and tabular (P4179): use wdt:P1082 for quick/direct values; for time-series/point-in-time use p:P1082 + ps:P1082 + pq:P585 and ORDER BY pq:P585 DESC. Inspect statement qualifiers (e.g., 'applies to part') and prov:wasDerivedFrom references (pr:P854 etc.) to detect city-proper vs metro/prefecture scopes before using values.
  - Common person properties: P31 (instance of human Q5), P106 (occupation), P569 (date of birth), P19 (place of birth), P27 (country of citizenship), P21 (sex/gender), P166 (award received). Use wdt: for direct values when possible.
  - P17 (country) can be incomplete/misleading for places (historical/overseas tags). To get modern cities in a country combine: instance-of city (P31=Q515) + wdt:P17 OR use wdt:P131* to find an admin parent whose wdt:P17 = the country. Also cross-check coordinates (P625) or admin hierarchy to spot outliers.
  - When filtering by date of birth (P569) use xsd:dateTime comparisons (e.g. >= "1900-01-01T00:00:00Z"^^xsd:dateTime). Be aware many items have year-only or imprecise dates and coverage is biased toward notable/public figures (sportspeople, politicians, artists).
  - To retrieve qualifiers (e.g., award year) use the statement/qualifier pattern: p:Pxxx / ps:Pxxx / pq:P585. Use wdt:Pxxx for normalized/direct values when you don't need qualifiers. Example: p:P166 + pq:P585 gives award year.
  - To get a person's occupations: use wdt:P106 for direct/normalized values and rdfs:label for human-readable names (FILTER(LANG(...))). Example: wd:Q... wdt:P106 ?occ . ?occ rdfs:label ?occLabel . FILTER(LANG(?occLabel)="en").
  - P166 = award received. Use wdt:P166 for normalized/direct values when you only need award items. To get award years or qualifiers use p:P166 / ps:P166 / pq:P585. Many statements lack pq:P585 — use OPTIONAL { ?stmt pq:P585 ?date } and ORDER BY DESC(?date). When listing award winners, filter ?person wdt:P31 wd:Q5 to ensure humans.
  - Population time-series pattern: wd:Q... p:P1082 ?stmt . ?stmt ps:P1082 ?pop . OPTIONAL { ?stmt pq:P585 ?date } . ORDER BY DESC(?date). pq:P585 is the point-in-time qualifier. IMPORTANT: time-series may mix scopes (city proper vs metro) — e.g., Tokyo has a 2016 entry ~38,140,000 likely metro vs smaller city figures. Inspect qualifiers/references for scope before use.
  - Use wdt:P131* to traverse the admin hierarchy and compare wdt:P17 on the place vs an admin parent to detect historical/colonial country assignments. When mismatches appear, inspect the admin parent's instance-of (P31), labels, qualifiers and references to interpret the historical scope.
  - wdt:P106 often yields multiple occupations for a person. Use GROUP_CONCAT(DISTINCT ?occLabel; separator=", ") or return multiple rows. Always fetch labels with rdfs:label + FILTER(LANG(?label)="en") to get readable occupation names.
  - When a search_entity returns multiple hits (person vs sculpture vs memorial), confirm you selected the human/statements by checking wdt:P31 (instance of) and relevant wdt: properties (e.g., wdt:P106). This avoids using a non-human QID by mistake.
  - search_autocomplete can be constrained with a SPARQL pattern containing ?search (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }). Use constraints to focus results (e.g., humans) and avoid ambiguous fallbacks; if it returns no results, fallback to search_entity and verify wdt:P31.
  - Use search_property_of_entity to find relevant properties for an entity (e.g., 'award' -> P166) and search_object_of_property to discover candidate objects (e.g., 'physicist' for P106). This reduces guessing P/Q ids and surfaces qualifiers.
  - Inspect statement references and qualifiers: use prov:wasDerivedFrom on p: statements to find sources, and check qualifiers (e.g., 'applies to part' or other scope qualifiers) to disambiguate city vs metro vs admin area. Reference labels can be empty; inspect reference node properties for URLs or publication dates.

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

General notes across knowledge graphs:
- Use rdfs:label + FILTER(LANG(?label)="en") for labels; avoid SERVICE wikibase:label. Use wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access statement qualifiers (e.g., award year via pq:P585). When dates matter, prefer xsd:dateTime and watch for year-only precision.
- Practical query patterns: use rdfs:label + FILTER(LANG(...)) for labels. Use wdt:Pxxx for direct/normalized values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (dates via pq:P585). For dates use xsd:dateTime and expect year-only precision. For places: combine P17 with P131 or coordinate (P625) filters to avoid historical/overseas mismatches.
- Use OPTIONAL for pq: qualifiers (e.g., pq:P585), sort by qualifier (ORDER BY pq:P585 DESC) to prefer recent values. Use GROUP_CONCAT to combine multiple labels/values in one row. Watch for typed literals (xsd:dateTime, xsd:decimal) when filtering or sorting.
- Before querying, use search_entity to resolve human-friendly names to wd:Q identifiers and verify instance-of (e.g., check wdt:P31 = wd:Q5 for humans) to avoid ambiguous matches. Prefer the top match but programmatically confirm P31 before using its data.
- Use search_property to confirm property identifiers (e.g., "country" -> P17) before embedding them in queries. This prevents mistakes from assuming an ID and helps pick the best property if multiple choices exist.
- search_autocomplete can fall back to an unconstrained search or error when there are too many candidates. If this happens (e.g., "more than the maximum supported number of subject candidates"), retry with narrower constraints such as instance-of (wdt:P31), additional type filters, or short prefixes to reduce the candidate set; otherwise fallback to search_entity and verify wdt:P31.
- Use list(...) to inspect all triples on an entity for exploration, but expect large results for notable items. Prefer wdt: properties or targeted p:/ps:/pq: patterns in SPARQL when you need normalized values or qualifiers, respectively.
- Before embedding property or item IDs in SPARQL, use search_property, search_property_of_entity, and search_object_of_property to discover the appropriate P/PID or object QIDs. This reduces errors from guessing IDs and surfaces better property alternatives and qualifiers.
- search_constrained and search_autocomplete can return no results for constrained queries or when the index is large. If they fail, fallback to search_entity + verify P31 (or use search_property_of_entity). Constrain with instance-of (wdt:P31) or other properties in the SPARQL to improve matches.
- When selecting awards by year, prefer xsd:dateTime range filters (e.g., >= "2001-01-01T00:00:00Z"^^xsd:dateTime && < "2002-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for portability and precision.
- When selecting award winners via wdt:P166, filter ?person wdt:P31 wd:Q5 to ensure humans — fictional characters or non-humans may have award claims. If you need award years use p:P166 / ps:P166 / pq:P585 and OPTIONAL { ?stmt pq:P585 ?year } to retrieve qualifier years.
- Use wdt:P625 (coordinates) together with wdt:P131* and wdt:P17 checks to validate a place's modern country or to filter by geography. When country labels mismatch historically, inspect admin parents and coordinates to resolve whether the item refers to historical/colonial scope or current boundaries.
- Prefer wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (e.g., pq:P585 for award year). Always fetch labels with rdfs:label + FILTER(LANG(?label) = "en").
- If search_autocomplete returns too many candidates or errors, retry with constraints (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }) or narrower query text. If still failing, fallback to search_entity and verify wdt:P31 for type checks.
- For award-year queries use p:P166 / ps:P166 / pq:P585 to access award statements and year qualifiers. Filter by xsd:dateTime ranges (e.g., >= "2020-01-01T00:00:00Z"^^xsd:dateTime && < "2021-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for robustness.
- Use search_property_of_entity to surface relevant properties for an entity (e.g., 'birth' -> P569/P19). list(...) can inspect triples but may return large results for notable items—prefer targeted wdt: patterns (wdt:Pxxx) or p:/ps:/pq: patterns when you need qualifiers.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- 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 ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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]
Plan:
1. Find the Wikidata item for Ivan Lendl and confirm it's a human (wdt:P31 wd:Q5).
2. Identify how tournament victories are represented: likely as 'award received' (P166) or specific properties like 'tennis tournament winner' — I'll inspect Ivan Lendl's properties to find relevant ones.
3. Build a SPARQL query that lists events/tournaments he won, with tournament (event) item, year (from qualifier pq:P585), country (wdt:P17 or via host country), surface (maybe via property P... we will search), prize money (property P... maybe 'prize money' or 'prize money' values linked to the tournament edition), and number of participants (maybe 'number of participants' P1132).
I'll start by searching for Ivan Lendl's entity. I will call search_entity for "Ivan Lendl".

Question: Ivan Lendl

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 inspect Ivan Lendl's Wikidata item (wd:Q182736) and look for properties related to wins/awards (e.g., award received P166, tournament wins). I'll search properties of the entity for "award", "win", "tournament", "champion", and "title".

Question: award

Falling back to an unconstrained search on the full search indices due to an error:
SPARQL execution failed: ('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))

Top 10 property alternatives:
1. award received (wd:P166 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via award), also known as award, awarded, awards, awards received, award won, etc.
2. grants (wd:P5460 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via awards), also known as awards, bestows, confers, gives out, P5460
3. winner (wd:P1346 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via awardee), also known as 1st place medalist, awardee, champ, champion, has winner, etc.
4. trophy awarded (wd:P4622 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via cup awarded), also known as cup awarded, diploma awarded, medal awarded, P4622
5. nominee (wd:P2453 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via award nominee), also known as award nominee, P2453
6. conferred by (wd:P1027 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via awarded by), also known as awarded by, bestowed by, by, conceded by, degree awarded by, etc.
7. nominated for (wd:P1411 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via selected for award), also known as finalist for, finalist for award, have nomination to, nominated for award, nomination received, etc.
8. award rationale (wd:P6208 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via award reason), also known as award citation, award reason, rationale, P6208
9. together with (wd:P1706 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via award shared with), also known as accompanied by, alongside, award shared with, feat., featuring, etc.
10. inscription (wd:P1684 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as epigraph (inscription), inscriptions, legend, legenda, signature, etc.

No other items found

[Assistant]
I'll search for properties named "surface" to find the property used for tennis surface (e.g., clay, grass, hard).

Question: surface

Top 10 property alternatives:
1. area (wd:P2046 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, 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
2. has surface (wd:P10614 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as P10614: the object is the 2-dimensional surface that partly or completely surrounds the subject in 3-dimensional space
3. home venue (wd:P115 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via ground), also known as arena, ballpark, ground, home field, home ground, etc.: home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / is subproperty of location
4. orientation (wd:P7469 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via faces), also known as alignment, direction, face, faces, facing, etc.: axis of alignment of an item, or direction perpendicular to its primary face (specify with P518 if necessary)
5. surface played on (wd:P765 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as playing surface, P765: the surface on which a sporting event is played
6. surface gravity (wd:P7015 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as P7015: gravitational acceleration experienced at the equator of an astronomical body surface
7. house publication (wd:P2813 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via manifest), also known as has mouthpiece, house journal, house magazine, house organ, house periodical, etc.: media that speaks for an organization or a movement, and that is usually edited by its members
8. country (wd:P17 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via land), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
9. located on street (wd:P669 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via square), also known as address street, is on, located at street (item), on street, road, etc.: street, road, or square, where the item is located. To add ... P6375 "street address", if there is no item for the street / street, or road, where the item is located. To add the ... Use property P6375 if there is no item for the street / is subproperty of location / is subproperty of part of
10. field of work (wd:P101 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via fields), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in

[Assistant]
I'll search for the property "prize money" and also for "number of participants" to find their property IDs. Then I'll inspect how winners are connected to editions (use P1346) and build the query. I will first search for "prize money" and "number of participants".

Question: prize money

Top 10 property alternatives:
1. prize money (wd:P2121 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as money, purse, value, P2121: amount in a specific currency / amount in a specific currency
2. award received (wd:P166 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via prize awarded), 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
3. winner (wd:P1346 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via prizewinner), 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
4. grants (wd:P5460 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via awards), also known as awards, bestows, confers, gives out, P5460: confers degree, honor, award, prize, title, certificate or medal denoting achievement to a person or organization
5. trophy awarded (wd:P4622 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via cup awarded), also known as cup awarded, diploma awarded, medal awarded, P4622: trophy awarded at the end of a selection process or of a ... or finishers under the form of a cup, a medal, a diploma
6. competition won (wd:P2522 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via winner of), also known as victory, winner of, won, won event, P2522: competition or sports event won by the subject / is subproperty of participant in
7. nominated for (wd:P1411 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via finalist for award), also known as finalist for, finalist for award, have nomination to, nominated for award, nomination received, etc.: award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166)) / award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
8. net worth (wd:P2218 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as declared patrimony, estimated net worth, net wealth, net worth estimate, personal assets, etc.: totality of wealth possessed by a person
9. quantity (wd:P1114 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via amount), also known as amount, copies, count, instances, multiplicity, etc.: number of instances of this subject in the universe of the ... number of instances in Wikidata may be lower or higher) / number of instances of this subject
10. number of medals (wd:P10659 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via amount of medals), also known as amount of medals, P10659: sports awards

[Assistant]
I'll search for "number of participants" property ID.

Question: number of participants

Top 10 property alternatives:
1. number of participants (wd:P1132 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), 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
2. member count (wd:P2124 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via number of members), also known as amount of members, count of members, membership, number of members, total members, etc.: number of entities that are part of an organization at a particular time / number of people who are part of an organisation at a particular time
3. number of seats in assembly (wd:P1410 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via number of delegates), also known as number of delegates, number of representatives, number of seats, seats, P1410: number of seats a political party, faction, or group has in a given assembly
4. number of registered users/contributors (wd:P1833 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via number of users), also known as number of contributors, number of registered users, number of users, users, P1833: number of registered users on a website
5. number of seats (wd:P1342 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via number of seats (members)), also known as membership quantity, number of seats (members), quantity of members, seats (members), P1342: total number of seats/members in an assembly (legislative house or similar) / number of seats/members in an assembly (legislative house or similar)
6. number of volunteers (wd:P6125 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as volunteers, P6125: number of people who volunteer for an organization at a particular time
7. volume (wd:P478 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via number of part), also known as numbering in series, numbering of part, numbering of volume, number of part, number of series, etc.: volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication / volume of a book in a collection/series, for reference
8. candidate number (wd:P4243 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via number of candidate), also known as candidate ID, election candidate number, ID of candidate, number of candidate, P4243: number of the candidate in an election
9. count of students (wd:P2196 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via number of students), also known as count of pupils, enrollment, number of pupils, number of pupils or students, number of students, etc.: number of pupils or students of any type in an educational ... years normal rank (not deprecated rank). Don't overwrite. / number of students of any type in an educational organization
10. participant (wd:P710 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via participants), 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

[Assistant]
Now I'll run a simple SPARQL query to list items (editions) where Ivan Lendl (wd:Q182736) is the winner (P1346), and retrieve any qualifier pq:P585 (date) if present. This verifies the pattern and gives concrete edition items to inspect.

execute

SELECT DISTINCT ?edition ?editionLabel ?date WHERE {
  VALUES ?player { wd:Q182736 }
  ?edition p:P1346 ?winnerStmt .
  ?winnerStmt ps:P1346 ?player .
  OPTIONAL { ?winnerStmt pq:P585 ?date }
  OPTIONAL { ?edition rdfs:label ?editionLabel FILTER(LANG(?editionLabel)="en") }
} ORDER BY ?date LIMIT 200

Got 64 rows and 3 columns, showing the first 5 and last 5 rows below:
| edition                                                               | editionLabel                                                      | date |
| --------------------------------------------------------------------- | ----------------------------------------------------------------- | ---- |
| 1982 World Championship Tennis Finals – singles (wd:Q4016869)         | 1982 World Championship Tennis Finals – singles (lang:en)         |      |
| 1987 Sovran Bank D.C. National Tennis Classic – Singles (wd:Q3965691) | 1987 Sovran Bank D.C. National Tennis Classic – Singles (lang:en) |      |
| 1990 Stella Artois Championships – singles (wd:Q3972863)              | 1990 Stella Artois Championships – singles (lang:en)              |      |
| 1989 Stockholm Open – singles (wd:Q3973708)                           | 1989 Stockholm Open – singles (lang:en)                           |      |
| 1983 Tokyo Indoor – singles (wd:Q3992332)                             | 1983 Tokyo Indoor – singles (lang:en)                             |      |
| ...                                                                   | ...                                                               | ...  |
| 1988 Monte Carlo Open – singles (wd:Q3861380)                         | 1988 Monte Carlo Open – singles (lang:en)                         |      |
| 1985 Nabisco Masters – singles (wd:Q3869785)                          | 1985 Nabisco Masters – singles (lang:en)                          |      |
| 1985 Paine Webber Classic – singles (wd:Q3889015)                     | 1985 Paine Webber Classic – singles (lang:en)                     |      |
| 1986 Paine Webber Classic – singles (wd:Q3889020)                     | 1986 Paine Webber Classic – singles (lang:en)                     |      |
| 1989 Stella Artois Championships – singles (wd:Q3927496)              | 1989 Stella Artois Championships – singles (lang:en)              |      |

[Assistant]
I'll run a comprehensive SPARQL query that finds tournament editions where Ivan Lendl (wd:Q182736) is the winner, and retrieves edition, tournament series, date (from winner statement qualifier pq:P585), country (from edition, tournament or location), surface (edition or tournament P765), prize money (P2121), and number of participants (P1132). I will order results by date descending. Now executing that query to verify results.

SELECT DISTINCT ?edition ?editionLabel ?tournament ?tournamentLabel ?date ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  VALUES ?player { wd:Q182736 }
  ?edition p:P1346 ?winStmt .
  ?winStmt ps:P1346 ?player .
  OPTIONAL { ?winStmt pq:P585 ?date. }

  # Ensure the item is a tennis event edition or part of a tennis tournament series
  ?edition (wdt:P641|wdt:P361/wdt:P641) wd:Q8470 .

  OPTIONAL { ?edition wdt:P361 ?tournament. }

  OPTIONAL { ?edition wdt:P17 ?countryEdition. }
  OPTIONAL { ?tournament wdt:P17 ?countryTournament. }
  OPTIONAL { ?edition wdt:P276 ?location . ?location wdt:P17 ?countryLocation. }
  BIND(COALESCE(?countryEdition, ?countryTournament, ?countryLocation) AS ?country)

  OPTIONAL { ?edition wdt:P765 ?surface. }
  OPTIONAL { ?tournament wdt:P765 ?surfaceT. }
  BIND(COALESCE(?surface, ?surfaceT) AS ?surfaceFinal)

  OPTIONAL { ?edition wdt:P2121 ?prizeMoney. }
  OPTIONAL { ?edition wdt:P1132 ?numParticipants. }

  OPTIONAL { ?edition rdfs:label ?editionLabel FILTER(LANG(?editionLabel)="en") }
  OPTIONAL { ?tournament rdfs:label ?tournamentLabel FILTER(LANG(?tournamentLabel)="en") }
  OPTIONAL { ?country rdfs:label ?countryLabel FILTER(LANG(?countryLabel)="en") }
  OPTIONAL { ?surfaceFinal rdfs:label ?surfaceLabel FILTER(LANG(?surfaceLabel)="en") }
}
ORDER BY DESC(?date)
LIMIT 500

[Assistant]
My previous query had a variable naming mistake and an overly strict path that excluded results. I'll fix those and run a corrected query: I'll check sport either on the edition or on the tournament (via ?edition wdt:P361 ?tournament), and correctly bind surface from edition or tournament. Executing the corrected query now.

SELECT DISTINCT ?edition ?editionLabel ?tournament ?tournamentLabel ?date ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  VALUES ?player { wd:Q182736 }
  ?edition p:P1346 ?winStmt .
  ?winStmt ps:P1346 ?player .
  OPTIONAL { ?winStmt pq:P585 ?date. }

  OPTIONAL { ?edition wdt:P361 ?tournament. }

  OPTIONAL { ?edition wdt:P641 ?sportEdition. }
  OPTIONAL { ?tournament wdt:P641 ?sportTournament. }
  FILTER(
    (BOUND(?sportEdition) && ?sportEdition = wd:Q8470) ||
    (BOUND(?sportTournament) && ?sportTournament = wd:Q8470)
  )

  OPTIONAL { ?edition wdt:P17 ?countryEdition. }
  OPTIONAL { ?tournament wdt:P17 ?countryTournament. }
  OPTIONAL { ?edition wdt:P276 ?location . ?location wdt:P17 ?countryLocation. }
  BIND(COALESCE(?countryEdition, ?countryTournament, ?countryLocation) AS ?country)

  OPTIONAL { ?edition wdt:P765 ?surfaceEdition. }
  OPTIONAL { ?tournament wdt:P765 ?surfaceTournament. }
  BIND(COALESCE(?surfaceEdition, ?surfaceTournament) AS ?surface)

  OPTIONAL { ?edition wdt:P2121 ?prizeMoney. }
  OPTIONAL { ?edition wdt:P1132 ?numParticipants. }

  OPTIONAL { ?edition rdfs:label ?editionLabel FILTER(LANG(?editionLabel)="en") }
  OPTIONAL { ?tournament rdfs:label ?tournamentLabel FILTER(LANG(?tournamentLabel)="en") }
  OPTIONAL { ?country rdfs:label ?countryLabel FILTER(LANG(?countryLabel)="en") }
  OPTIONAL { ?surface rdfs:label ?surfaceLabel FILTER(LANG(?surfaceLabel)="en") }
}
ORDER BY DESC(?date)
LIMIT 500

[Assistant]
I'll run a query without restricting by sport (the earlier sport constraints excluded results because many editions lack explicit sport properties). This query will list editions where Lendl is winner and return tournament series, date qualifier, country (edition/tournament/location), surface, prize money, and number of participants where available.

SELECT DISTINCT ?edition ?editionLabel ?tournament ?tournamentLabel ?date ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  VALUES ?player { wd:Q182736 }
  ?edition p:P1346 ?winStmt .
  ?winStmt ps:P1346 ?player .
  OPTIONAL { ?winStmt pq:P585 ?date. }

  OPTIONAL { ?edition wdt:P361 ?tournament. }

  OPTIONAL { ?edition wdt:P17 ?countryEdition. }
  OPTIONAL { ?tournament wdt:P17 ?countryTournament. }
  OPTIONAL { ?edition wdt:P276 ?location . ?location wdt:P17 ?countryLocation. }
  BIND(COALESCE(?countryEdition, ?countryTournament, ?countryLocation) AS ?country)

  OPTIONAL { ?edition wdt:P765 ?surfaceEdition. }
  OPTIONAL { ?tournament wdt:P765 ?surfaceTournament. }
  BIND(COALESCE(?surfaceEdition, ?surfaceTournament) AS ?surface)

  OPTIONAL { ?edition wdt:P2121 ?prizeMoney. }
  OPTIONAL { ?edition wdt:P1132 ?numParticipants. }

  OPTIONAL { ?edition rdfs:label ?editionLabel FILTER(LANG(?editionLabel)="en") }
  OPTIONAL { ?tournament rdfs:label ?tournamentLabel FILTER(LANG(?tournamentLabel)="en") }
  OPTIONAL { ?country rdfs:label ?countryLabel FILTER(LANG(?countryLabel)="en") }
  OPTIONAL { ?surface rdfs:label ?surfaceLabel FILTER(LANG(?surfaceLabel)="en") }
}
ORDER BY DESC(?date)
LIMIT 500

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

[Assistant]
I'll re-run the simple query (editions where Lendl is winner) to retrieve all edition IRIs and dates; then I'll fetch detailed properties per edition in smaller queries to avoid timeouts.

SELECT DISTINCT ?edition ?editionLabel ?date WHERE {
  VALUES ?player { wd:Q182736 }
  ?edition p:P1346 ?winnerStmt .
  ?winnerStmt ps:P1346 ?player .
  OPTIONAL { ?winnerStmt pq:P585 ?date }
  OPTIONAL { ?edition rdfs:label ?editionLabel FILTER(LANG(?editionLabel)="en") }
} ORDER BY ?date LIMIT 500

Got 64 rows and 3 columns, showing the first 5 and last 5 rows below:
| edition                                                               | editionLabel                                                      | date |
| --------------------------------------------------------------------- | ----------------------------------------------------------------- | ---- |
| 1982 World Championship Tennis Finals – singles (wd:Q4016869)         | 1982 World Championship Tennis Finals – singles (lang:en)         |      |
| 1987 Sovran Bank D.C. National Tennis Classic – Singles (wd:Q3965691) | 1987 Sovran Bank D.C. National Tennis Classic – Singles (lang:en) |      |
| 1990 Stella Artois Championships – singles (wd:Q3972863)              | 1990 Stella Artois Championships – singles (lang:en)              |      |
| 1989 Stockholm Open – singles (wd:Q3973708)                           | 1989 Stockholm Open – singles (lang:en)                           |      |
| 1983 Tokyo Indoor – singles (wd:Q3992332)                             | 1983 Tokyo Indoor – singles (lang:en)                             |      |
| ...                                                                   | ...                                                               | ...  |
| 1988 Monte Carlo Open – singles (wd:Q3861380)                         | 1988 Monte Carlo Open – singles (lang:en)                         |      |
| 1985 Nabisco Masters – singles (wd:Q3869785)                          | 1985 Nabisco Masters – singles (lang:en)                          |      |
| 1985 Paine Webber Classic – singles (wd:Q3889015)                     | 1985 Paine Webber Classic – singles (lang:en)                     |      |
| 1986 Paine Webber Classic – singles (wd:Q3889020)                     | 1986 Paine Webber Classic – singles (lang:en)                     |      |
| 1989 Stella Artois Championships – singles (wd:Q3927496)              | 1989 Stella Artois Championships – singles (lang:en)              |      |

[Assistant]
I'll run a single query that first selects the editions Lendl won (as a subquery, which we already verified returns 64 items) and then, for that smaller set, retrieves tournament, date (qualifier), country, surface, prize money, and number of participants. This keeps the expensive pattern limited to 64 items and should avoid timeouts. Executing the query now.

SELECT DISTINCT ?edition ?editionLabel ?tournament ?tournamentLabel ?date ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  {
    SELECT DISTINCT ?edition ?date WHERE {
      ?edition p:P1346 ?winStmt .
      ?winStmt ps:P1346 wd:Q182736 .
      OPTIONAL { ?winStmt pq:P585 ?date }
    }
  }

  OPTIONAL { ?edition wdt:P361 ?tournament. }

  OPTIONAL { ?edition wdt:P17 ?countryEdition. }
  OPTIONAL { ?tournament wdt:P17 ?countryTournament. }
  OPTIONAL { ?edition wdt:P276 ?location . ?location wdt:P17 ?countryLocation. }
  BIND(COALESCE(?countryEdition, ?countryTournament, ?countryLocation) AS ?country)

  OPTIONAL { ?edition wdt:P765 ?surfaceEdition. }
  OPTIONAL { ?tournament wdt:P765 ?surfaceTournament. }
  BIND(COALESCE(?surfaceEdition, ?surfaceTournament) AS ?surface)

  OPTIONAL { ?edition wdt:P2121 ?prizeMoney. }
  OPTIONAL { ?edition wdt:P1132 ?numParticipants. }

  OPTIONAL { ?edition rdfs:label ?editionLabel FILTER(LANG(?editionLabel)="en") }
  OPTIONAL { ?tournament rdfs:label ?tournamentLabel FILTER(LANG(?tournamentLabel)="en") }
  OPTIONAL { ?country rdfs:label ?countryLabel FILTER(LANG(?countryLabel)="en") }
  OPTIONAL { ?surface rdfs:label ?surfaceLabel FILTER(LANG(?surfaceLabel)="en") }
}
ORDER BY DESC(?date)
LIMIT 500

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

[Assistant]
I will finalize by reporting I could not successfully run the final comprehensive SPARQL query due to repeated timeouts on the Wikidata endpoint. I'll provide a detailed explanation and include the best SPARQL query I prepared (the one I attempted last) so you can run it externally or I can retry later.

cancel

Explanation:
I attempted to construct and execute a SPARQL query that lists all tournament editions Ivan Lendl won (using property P1346 'winner') and retrieves, where available: tournament series (P361), year/date (pq:P585 on the winner statement), country (edition P17 or tournament P17 or location P276->P17), surface (P765 on edition or tournament), prize money (P2121 on edition), and number of participants (P1132 on edition). I verified Ivan Lendl's Wikidata item (wd:Q182736) and confirmed editions where he is the winner with a simple query (which returned 64 editions). However, when trying to run the comprehensive query that gathers all optional details for those editions, the Wikidata endpoint repeatedly timed out (read timeout). I attempted a refined approach using a subquery that first selects the 64 editions and then joins only those to the optional properties to limit the scan, but the endpoint still timed out.

Because of the timeouts I could not get a final executed result to present here. Below is my best (final) SPARQL query attempt which is the query I tried to run; it should return edition IRIs and, when available, tournament, date, country, surface, prize money, and participant counts for editions won by Ivan Lendl. You can run it on a working Wikidata SPARQL endpoint (e.g., https://query.wikidata.org/) to obtain the full table. If you want, I can retry executing it later or break it into smaller batched queries to avoid timeouts.

Best SPARQL attempt:

SELECT DISTINCT ?edition ?editionLabel ?tournament ?tournamentLabel ?date ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  {
    SELECT DISTINCT ?edition ?date WHERE {
      ?edition p:P1346 ?winStmt .
      ?winStmt ps:P1346 wd:Q182736 .
      OPTIONAL { ?winStmt pq:P585 ?date }
    }
  }

  OPTIONAL { ?edition wdt:P361 ?tournament. }

  OPTIONAL { ?edition wdt:P17 ?countryEdition. }
  OPTIONAL { ?tournament wdt:P17 ?countryTournament. }
  OPTIONAL { ?edition wdt:P276 ?location . ?location wdt:P17 ?countryLocation. }
  BIND(COALESCE(?countryEdition, ?countryTournament, ?countryLocation) AS ?country)

  OPTIONAL { ?edition wdt:P765 ?surfaceEdition. }
  OPTIONAL { ?tournament wdt:P765 ?surfaceTournament. }
  BIND(COALESCE(?surfaceEdition, ?surfaceTournament) AS ?surface)

  OPTIONAL { ?edition wdt:P2121 ?prizeMoney. }
  OPTIONAL { ?edition wdt:P1132 ?numParticipants. }

  OPTIONAL { ?edition rdfs:label ?editionLabel FILTER(LANG(?editionLabel)="en") }
  OPTIONAL { ?tournament rdfs:label ?tournamentLabel FILTER(LANG(?tournamentLabel)="en") }
  OPTIONAL { ?country rdfs:label ?countryLabel FILTER(LANG(?countryLabel)="en") }
  OPTIONAL { ?surface rdfs:label ?surfaceLabel FILTER(LANG(?surfaceLabel)="en") }
}
ORDER BY DESC(?date)
LIMIT 500

If you prefer, I can also:
- Try smaller batched queries (e.g., querying 20 editions at a time using VALUES) to avoid timeouts and assemble the full result.
- Focus on a subset of events (e.g., Grand Slams and year-end championships) if that's sufficient.

Would you like me to retry with batching (and if so, any preference for batch size or which events to prioritize)?

SELECT DISTINCT ?edition ?editionLabel ?tournament ?tournamentLabel ?date ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  {
    SELECT DISTINCT ?edition ?date WHERE {
      ?edition p:P1346 ?winStmt .
      ?winStmt ps:P1346 wd:Q182736 .
      OPTIONAL { ?winStmt pq:P585 ?date }
    }
  }

  OPTIONAL { ?edition wdt:P361 ?tournament. }

  OPTIONAL { ?edition wdt:P17 ?countryEdition. }
  OPTIONAL { ?tournament wdt:P17 ?countryTournament. }
  OPTIONAL { ?edition wdt:P276 ?location . ?location wdt:P17 ?countryLocation. }
  BIND(COALESCE(?countryEdition, ?countryTournament, ?countryLocation) AS ?country)

  OPTIONAL { ?edition wdt:P765 ?surfaceEdition. }
  OPTIONAL { ?tournament wdt:P765 ?surfaceTournament. }
  BIND(COALESCE(?surfaceEdition, ?surfaceTournament) AS ?surface)

  OPTIONAL { ?edition wdt:P2121 ?prizeMoney. }
  OPTIONAL { ?edition wdt:P1132 ?numParticipants. }

  OPTIONAL { ?edition rdfs:label ?editionLabel FILTER(LANG(?editionLabel)="en") }
  OPTIONAL { ?tournament rdfs:label ?tournamentLabel FILTER(LANG(?tournamentLabel)="en") }
  OPTIONAL { ?country rdfs:label ?countryLabel FILTER(LANG(?countryLabel)="en") }
  OPTIONAL { ?surface rdfs:label ?surfaceLabel FILTER(LANG(?surfaceLabel)="en") }
}
ORDER BY DESC(?date)
LIMIT 500


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?candidate ?candidateLabel WHERE {
  VALUES ?jurisdiction {
    wd:Q349340
  }
  ?election wdt:P1001 ?jurisdiction .
  {
    ?election wdt:P726 ?candidate .
  } UNION {
    ?candidate wdt:P3602 ?election .
  }
  ?candidate wdt:P31 wd:Q5 .
  OPTIONAL {
    ?candidate rdfs:label ?candidateLabel .
    FILTER ( LANG( ?candidateLabel ) = "en" )
  }
}
ORDER BY ?candidateLabel

Using entities:
- Germasogeia (wd:Q349340), also known as Germasogeia Municipality, Yermasoyia Municipality: is instance of municipalities of Cyprus Republic / is instance of human settlement / municipality of Limassol District, Republic of Cyprus
- human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.: is instance of class of organisms known by one particular common name / is instance of organisms known by a particular common name / is subclass of mammal / is subclass of natural person / is subclass of omnivore / is subclass of person / is subclass of individual animal / any member of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo, from embryo to adult

Using properties:
- applies to jurisdiction (wd:P1001 as wdt), also known as applicable area, applicable country, applicable geographic place, applicable jurisdiction, applicable location, etc.: is subproperty of characteristic of / is subproperty of operating area / is subproperty of significant place / the item (an institution, law, public office ...) or ... jurisdiction: a country, state, municipality, ...) / the item (institution, law, public office, public ... jurisdiction: a country, state, municipality, ...)
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform
- candidacy in election (wd:P3602 as wdt), also known as candidate in, candidate in election, election candidacy, ran in election, running in election, etc.: is subproperty of participant in / election where the subject is a candidate / election where the subject is a candidate
- candidate (wd:P726 as wdt), also known as candidate in this election, election has candidate, electoral candidate, has election candidate, P726: is subproperty of participant / person or party that is an option for an office in an election / person or party that is an option for an office in this election

Got 8 rows and 2 columns:
| candidate                            | candidateLabel                  |
| ------------------------------------ | ------------------------------- |
| Andreas Erakleous (wd:Q93341860)     | Andreas Erakleous (lang:en)     |
| Andreas Gavrielides (wd:Q93340742)   | Andreas Gavrielides (lang:en)   |
| Evripides Pavlou (wd:Q93307426)      | Evripides Pavlou (lang:en)      |
| Georgios Tsanos (wd:Q93309697)       | Georgios Tsanos (lang:en)       |
| Kyriakos Xydias (wd:Q29451269)       | Kyriakos Xydias (lang:en)       |
| Marios Oratis (wd:Q93341859)         | Marios Oratis (lang:en)         |
| Panicos Louroutziatis (wd:Q93307419) | Panicos Louroutziatis (lang:en) |
| Pavlos Pavlou (wd:Q93341858)         | Pavlos Pavlou (lang:en)         |

Answer:
Distinct candidates (persons) who are recorded as candidates in Mayor of Germasogeia Municipality elections:

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

These are the distinct human candidates linked via either the election's candidate property (P726) or the person's 'candidacy in election' property (P3602) for elections that apply to the Germasogeia jurisdiction (wd:Q349340).

Distinct candidates (persons) who are recorded as candidates in Mayor of Germasogeia Municipality elections:

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

These are the distinct human candidates linked via either the election's candidate property (P726) or the person's 'candidacy in election' property (P3602) for elections that apply to the Germasogeia jurisdiction (wd:Q349340).

SPARQL query over wikidata:
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?candidate ?candidateLabel WHERE {
  VALUES ?jurisdiction {
    wd:Q349340
  }
  ?election wdt:P1001 ?jurisdiction .
  {
    ?election wdt:P726 ?candidate .
  } UNION {
    ?candidate wdt:P3602 ?election .
  }
  ?candidate wdt:P31 wd:Q5 .
  OPTIONAL {
    ?candidate rdfs:label ?candidateLabel .
    FILTER ( LANG( ?candidateLabel ) = "en" )
  }
}
ORDER BY ?candidateLabel

Using entities:
- Germasogeia (wd:Q349340), also known as Germasogeia Municipality, Yermasoyia Municipality: is instance of municipalities of Cyprus Republic / is instance of human settlement / municipality of Limassol District, Republic of Cyprus
- human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.: is instance of class of organisms known by one particular common name / is instance of organisms known by a particular common name / is subclass of mammal / is subclass of natural person / is subclass of omnivore / is subclass of person / is subclass of individual animal / any member of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo, from embryo to adult

Using properties:
- applies to jurisdiction (wd:P1001 as wdt), also known as applicable area, applicable country, applicable geographic place, applicable jurisdiction, applicable location, etc.: is subproperty of characteristic of / is subproperty of operating area / is subproperty of significant place / the item (an institution, law, public office ...) or ... jurisdiction: a country, state, municipality, ...) / the item (institution, law, public office, public ... jurisdiction: a country, state, municipality, ...)
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform
- candidacy in election (wd:P3602 as wdt), also known as candidate in, candidate in election, election candidacy, ran in election, running in election, etc.: is subproperty of participant in / election where the subject is a candidate / election where the subject is a candidate
- candidate (wd:P726 as wdt), also known as candidate in this election, election has candidate, electoral candidate, has election candidate, P726: is subproperty of participant / person or party that is an option for an office in an election / person or party that is an option for an office in this election

Execution result:
Got 8 rows and 2 columns:
| candidate                            | candidateLabel                  |
| ------------------------------------ | ------------------------------- |
| Andreas Erakleous (wd:Q93341860)     | Andreas Erakleous (lang:en)     |
| Andreas Gavrielides (wd:Q93340742)   | Andreas Gavrielides (lang:en)   |
| Evripides Pavlou (wd:Q93307426)      | Evripides Pavlou (lang:en)      |
| Georgios Tsanos (wd:Q93309697)       | Georgios Tsanos (lang:en)       |
| Kyriakos Xydias (wd:Q29451269)       | Kyriakos Xydias (lang:en)       |
| Marios Oratis (wd:Q93341859)         | Marios Oratis (lang:en)         |
| Panicos Louroutziatis (wd:Q93307419) | Panicos Louroutziatis (lang:en) |
| Pavlos Pavlou (wd:Q93341858)         | Pavlos Pavlou (lang:en)         |

[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.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties, and notes:
  - P106 = occupation. Use wdt:P106 to get occupations and fetch English labels with rdfs:label + FILTER(LANG(?label)="en"). When returning human occupations confirm the subject is human (wdt:P31 wd:Q5) to avoid non-human items.
  - Population (P1082) and tabular (P4179): use wdt:P1082 for quick/direct values; for time-series/point-in-time use p:P1082 + ps:P1082 + pq:P585 and ORDER BY pq:P585 DESC. Inspect statement qualifiers (e.g., 'applies to part') and prov:wasDerivedFrom references (pr:P854 etc.) to detect city-proper vs metro/prefecture scopes before using values.
  - Common person properties: P31 (instance of human Q5), P106 (occupation), P569 (date of birth), P19 (place of birth), P27 (country of citizenship), P21 (sex/gender), P166 (award received). Use wdt: for direct values when possible.
  - P17 (country) can be incomplete/misleading for places (historical/overseas tags). To get modern cities in a country combine: instance-of city (P31=Q515) + wdt:P17 OR use wdt:P131* to find an admin parent whose wdt:P17 = the country. Also cross-check coordinates (P625) or admin hierarchy to spot outliers.
  - When filtering by date of birth (P569) use xsd:dateTime comparisons (e.g. >= "1900-01-01T00:00:00Z"^^xsd:dateTime). Be aware many items have year-only or imprecise dates and coverage is biased toward notable/public figures (sportspeople, politicians, artists).
  - To retrieve qualifiers (e.g., award year) use the statement/qualifier pattern: p:Pxxx / ps:Pxxx / pq:P585. Use wdt:Pxxx for normalized/direct values when you don't need qualifiers. Example: p:P166 + pq:P585 gives award year.
  - To get a person's occupations: use wdt:P106 for direct/normalized values and rdfs:label for human-readable names (FILTER(LANG(...))). Example: wd:Q... wdt:P106 ?occ . ?occ rdfs:label ?occLabel . FILTER(LANG(?occLabel)="en").
  - P166 = award received. Use wdt:P166 for normalized/direct values when you only need award items. To get award years or qualifiers use p:P166 / ps:P166 / pq:P585. Many statements lack pq:P585 — use OPTIONAL { ?stmt pq:P585 ?date } and ORDER BY DESC(?date). When listing award winners, filter ?person wdt:P31 wd:Q5 to ensure humans.
  - Population time-series pattern: wd:Q... p:P1082 ?stmt . ?stmt ps:P1082 ?pop . OPTIONAL { ?stmt pq:P585 ?date } . ORDER BY DESC(?date). pq:P585 is the point-in-time qualifier. IMPORTANT: time-series may mix scopes (city proper vs metro) — e.g., Tokyo has a 2016 entry ~38,140,000 likely metro vs smaller city figures. Inspect qualifiers/references for scope before use.
  - Use wdt:P131* to traverse the admin hierarchy and compare wdt:P17 on the place vs an admin parent to detect historical/colonial country assignments. When mismatches appear, inspect the admin parent's instance-of (P31), labels, qualifiers and references to interpret the historical scope.
  - wdt:P106 often yields multiple occupations for a person. Use GROUP_CONCAT(DISTINCT ?occLabel; separator=", ") or return multiple rows. Always fetch labels with rdfs:label + FILTER(LANG(?label)="en") to get readable occupation names.
  - When a search_entity returns multiple hits (person vs sculpture vs memorial), confirm you selected the human/statements by checking wdt:P31 (instance of) and relevant wdt: properties (e.g., wdt:P106). This avoids using a non-human QID by mistake.
  - search_autocomplete can be constrained with a SPARQL pattern containing ?search (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }). Use constraints to focus results (e.g., humans) and avoid ambiguous fallbacks; if it returns no results, fallback to search_entity and verify wdt:P31.
  - Use search_property_of_entity to find relevant properties for an entity (e.g., 'award' -> P166) and search_object_of_property to discover candidate objects (e.g., 'physicist' for P106). This reduces guessing P/Q ids and surfaces qualifiers.
  - Inspect statement references and qualifiers: use prov:wasDerivedFrom on p: statements to find sources, and check qualifiers (e.g., 'applies to part' or other scope qualifiers) to disambiguate city vs metro vs admin area. Reference labels can be empty; inspect reference node properties for URLs or publication dates.

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

General notes across knowledge graphs:
- Use rdfs:label + FILTER(LANG(?label)="en") for labels; avoid SERVICE wikibase:label. Use wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access statement qualifiers (e.g., award year via pq:P585). When dates matter, prefer xsd:dateTime and watch for year-only precision.
- Practical query patterns: use rdfs:label + FILTER(LANG(...)) for labels. Use wdt:Pxxx for direct/normalized values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (dates via pq:P585). For dates use xsd:dateTime and expect year-only precision. For places: combine P17 with P131 or coordinate (P625) filters to avoid historical/overseas mismatches.
- Use OPTIONAL for pq: qualifiers (e.g., pq:P585), sort by qualifier (ORDER BY pq:P585 DESC) to prefer recent values. Use GROUP_CONCAT to combine multiple labels/values in one row. Watch for typed literals (xsd:dateTime, xsd:decimal) when filtering or sorting.
- Before querying, use search_entity to resolve human-friendly names to wd:Q identifiers and verify instance-of (e.g., check wdt:P31 = wd:Q5 for humans) to avoid ambiguous matches. Prefer the top match but programmatically confirm P31 before using its data.
- Use search_property to confirm property identifiers (e.g., "country" -> P17) before embedding them in queries. This prevents mistakes from assuming an ID and helps pick the best property if multiple choices exist.
- search_autocomplete can fall back to an unconstrained search or error when there are too many candidates. If this happens (e.g., "more than the maximum supported number of subject candidates"), retry with narrower constraints such as instance-of (wdt:P31), additional type filters, or short prefixes to reduce the candidate set; otherwise fallback to search_entity and verify wdt:P31.
- Use list(...) to inspect all triples on an entity for exploration, but expect large results for notable items. Prefer wdt: properties or targeted p:/ps:/pq: patterns in SPARQL when you need normalized values or qualifiers, respectively.
- Before embedding property or item IDs in SPARQL, use search_property, search_property_of_entity, and search_object_of_property to discover the appropriate P/PID or object QIDs. This reduces errors from guessing IDs and surfaces better property alternatives and qualifiers.
- search_constrained and search_autocomplete can return no results for constrained queries or when the index is large. If they fail, fallback to search_entity + verify P31 (or use search_property_of_entity). Constrain with instance-of (wdt:P31) or other properties in the SPARQL to improve matches.
- When selecting awards by year, prefer xsd:dateTime range filters (e.g., >= "2001-01-01T00:00:00Z"^^xsd:dateTime && < "2002-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for portability and precision.
- When selecting award winners via wdt:P166, filter ?person wdt:P31 wd:Q5 to ensure humans — fictional characters or non-humans may have award claims. If you need award years use p:P166 / ps:P166 / pq:P585 and OPTIONAL { ?stmt pq:P585 ?year } to retrieve qualifier years.
- Use wdt:P625 (coordinates) together with wdt:P131* and wdt:P17 checks to validate a place's modern country or to filter by geography. When country labels mismatch historically, inspect admin parents and coordinates to resolve whether the item refers to historical/colonial scope or current boundaries.
- Prefer wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (e.g., pq:P585 for award year). Always fetch labels with rdfs:label + FILTER(LANG(?label) = "en").
- If search_autocomplete returns too many candidates or errors, retry with constraints (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }) or narrower query text. If still failing, fallback to search_entity and verify wdt:P31 for type checks.
- For award-year queries use p:P166 / ps:P166 / pq:P585 to access award statements and year qualifiers. Filter by xsd:dateTime ranges (e.g., >= "2020-01-01T00:00:00Z"^^xsd:dateTime && < "2021-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for robustness.
- Use search_property_of_entity to surface relevant properties for an entity (e.g., 'birth' -> P569/P19). list(...) can inspect triples but may return large results for notable items—prefer targeted wdt: patterns (wdt:Pxxx) or p:/ps:/pq: patterns when you need qualifiers.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- 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 ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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 will search for the Germasogeia municipality entity in Wikidata so I can constrain later searches to elections for that municipality. I'll use search_entity for "Germasogeia".

Question: Germasogeia

Top 10 entity alternatives:
1. Germasogeia (wd:Q349340), also known as Germasogeia Municipality, Yermasoyia Municipality: municipality of Limassol District, Republic of Cyprus / is instance of municipalities of Cyprus Republic / is instance of human settlement
2. Germasogeia River (wd:Q29451364): is instance of quarter of Yermasoyia Municipality / quarter of Yermasoyia Municipality
3. Germasogeia Dam (wd:Q22985821): earth-fill dam on the Amatho River, Cyprus / is instance of dam
4. Germasogeia Reservoir (wd:Q62856371): reservoir on the Amathos river in Cyprus / is instance of reservoir
5. Anagennisi Germasogeias (wd:Q26164550): sport club based in Germasogeia, Limassol / is instance of sports club / is instance of sport club
6. Proodos Germasogeia River (wd:Q28538406): is instance of association football team / is instance of Football team / is instance of soccer team
7. Kentro Neotitas Germasogeia (wd:Q63242632): association football team from Germasogeia, Cyprus / is instance of association football club / is instance of soccer club
8. Anagennisi Germasogeias FC (wd:Q12873533): association football team in Germasogeia, Cyprus / is instance of association football club / is instance of soccer club
9. Mayor of Germasogeia Municipality (wd:Q54865660): is subclass of mayor of a place in Cyprus / is instance of public office / public office in Cyprus
10. Germasogeia Municipality municipal elections (wd:Q93306512): is subclass of Cypriot municipal elections

[Assistant]
I'll search for properties related to "candidate" to see how candidates are modeled in Wikidata (e.g., which property links elections to candidates). Then I'll search for election items for Germasogeia and extract their candidate statements. I'll explain the reasoning before and after each call.

Question: candidate

Top 10 property alternatives:
1. candidate (wd:P726 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as candidate in this election, election has candidate, electoral candidate, has election candidate, P726: person or party that is an option for an office in this election / person or party that is an option for an office in an election / is subproperty of participant
2. candidacy in election (wd:P3602 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via candidate in), also known as candidate in, candidate in election, election candidacy, ran in election, running in election, etc.: election where the subject is a candidate / election where the subject is a candidate / is subproperty of participant in
3. candidate number (wd:P4243 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as candidate ID, election candidate number, ID of candidate, number of candidate, P4243: number of the candidate in an election
4. successful candidate (wd:P991 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via elected candidate), 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
5. applicant (wd:P10602 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as P10602: applicant to a grant, program, or other funding agency or rating organization
6. elector (wd:P2319 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as eligible voters, qualified voters, type of electors, P2319: people or other entities which are qualified to participate in the subject election
7. judge (wd:P1594 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as P1594: judge, magistrate or equivalent, presiding at a trial / is subproperty of participant
8. ratified by (wd:P6193 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via approval), also known as acceptance, accession, approval, ratification, P6193: used to specify that a treaty has been ratified by a given state or subject of international law
9. has command line option (wd:P4837 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via option), also known as command line option, option, P4837: an option which is accepted by the software from the command line
10. has grammatical case (wd:P2989 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via cases), also known as cases, has case, P2989: is subproperty of has part(s) / is subproperty of has part / case used in this language / case used in this language

[Assistant]
I'll list triples for the "Germasogeia Municipality municipal elections" item (wd:Q93306512) to see how specific elections are linked or whether it's a class used for specific years. This helps locate actual election instances. I'll call list(subject=wd:Q93306512). After the call I'll inspect properties such as subclasses or instances.

list

wd:Q93306512

Got 14 rows and 3 columns, showing the first 10 rows below:
| subject                                                     | property                            | object                                                 |
| ----------------------------------------------------------- | ----------------------------------- | ------------------------------------------------------ |
| Germasogeia Municipality municipal elections (wd:Q93306512) | country (wdt:P17)                   | Cyprus (wd:Q229)                                       |
| Germasogeia Municipality municipal elections (wd:Q93306512) | subclass of (wdt:P279)              | Cypriot municipal elections (wd:Q64918845)             |
| Germasogeia Municipality municipal elections (wd:Q93306512) | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340)                               |
| Germasogeia Municipality municipal elections (wd:Q93306512) | wdt:P31279                          | municipal election (wd:Q152450)                        |
| Germasogeia Municipality municipal elections (wd:Q93306512) | schema:name                         | Germasogeia Municipality municipal elections (lang:en) |
| Germasogeia Municipality municipal elections (wd:Q93306512) | rdf:type                            | wikibase:Item                                          |
| Germasogeia Municipality municipal elections (wd:Q93306512) | rdfs:label                          | Germasogeia Municipality municipal elections (lang:en) |
| Germasogeia Municipality municipal elections (wd:Q93306512) | skos:prefLabel                      | Germasogeia Municipality municipal elections (lang:en) |
| Germasogeia Municipality municipal elections (wd:Q93306512) | country (p:P17)                     | s:Q93306512-74E2A272-1238-490F-A065-71BF1EA20A98       |
| Germasogeia Municipality municipal elections (wd:Q93306512) | subclass of (p:P279)                | s:Q93306512-3DCDE738-26A6-40E2-92D0-2712F847404A       |
| ...                                                         | ...                                 | ...                                                    |

[Assistant]
I'll search for items that have applies to jurisdiction (wdt:P1001) = Germasogeia (wd:Q349340). This should find specific municipal election items for Germasogeia. I'll call list with property wdt:P1001 and object wd:Q349340. After that I'll inspect returned election instances.

Got 15 rows and 3 columns, showing the first 10 rows below:
| subject                                                         | property                            | object                   |
| --------------------------------------------------------------- | ----------------------------------- | ------------------------ |
| Mayor of Germasogeia Municipality (wd:Q54865660)                | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340) |
| Yermasoyia's municipal council (wd:Q54865675)                   | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340) |
| Germasogeia Municipality municipal elections (wd:Q93306512)     | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340) |
| Mayor of Germasogeia Municipality Elections (wd:Q93306595)      | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340) |
| Municipal Councillor of Germasogeia Municipality (wd:Q93306914) | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340) |
| 1996 Mayor of Germasogeia Municipality Elections (wd:Q93307084) | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340) |
| 2001 Mayor of Germasogeia Municipality Elections (wd:Q93307085) | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340) |
| 2006 Mayor of Germasogeia Municipality Elections (wd:Q93307086) | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340) |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340) |
| 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340) |
| ...                                                             | ...                                 | ...                      |

[Assistant]
I'll run a SPARQL query that finds all election items applying to Germasogeia (wd:Q349340) and collects distinct human candidates linked either from the election via P726 (candidate) or from the person via P3602 (candidacy in election). I include English labels. Now I'll execute that query.

execute

SELECT DISTINCT ?candidate ?candidateLabel WHERE {
  VALUES ?jurisdiction { wd:Q349340 } # Germasogeia
  ?election wdt:P1001 ?jurisdiction .
  {
    ?election wdt:P726 ?candidate .
  }
  UNION
  {
    ?candidate wdt:P3602 ?election .
  }
  ?candidate wdt:P31 wd:Q5 .
  OPTIONAL { ?candidate rdfs:label ?candidateLabel . FILTER(LANG(?candidateLabel) = "en") }
}
ORDER BY ?candidateLabel

Got 8 rows and 2 columns:
| candidate                            | candidateLabel                  |
| ------------------------------------ | ------------------------------- |
| Andreas Erakleous (wd:Q93341860)     | Andreas Erakleous (lang:en)     |
| Andreas Gavrielides (wd:Q93340742)   | Andreas Gavrielides (lang:en)   |
| Evripides Pavlou (wd:Q93307426)      | Evripides Pavlou (lang:en)      |
| Georgios Tsanos (wd:Q93309697)       | Georgios Tsanos (lang:en)       |
| Kyriakos Xydias (wd:Q29451269)       | Kyriakos Xydias (lang:en)       |
| Marios Oratis (wd:Q93341859)         | Marios Oratis (lang:en)         |
| Panicos Louroutziatis (wd:Q93307419) | Panicos Louroutziatis (lang:en) |
| Pavlos Pavlou (wd:Q93341858)         | Pavlos Pavlou (lang:en)         |

[Assistant]
I'll now finalize by returning the SPARQL query I executed and the candidates found.

answer

SELECT DISTINCT ?candidate ?candidateLabel WHERE {
  VALUES ?jurisdiction { wd:Q349340 } # Germasogeia
  ?election wdt:P1001 ?jurisdiction .
  {
    ?election wdt:P726 ?candidate .
  }
  UNION
  {
    ?candidate wdt:P3602 ?election .
  }
  ?candidate wdt:P31 wd:Q5 .
  OPTIONAL { ?candidate rdfs:label ?candidateLabel . FILTER(LANG(?candidateLabel) = "en") }
}
ORDER BY ?candidateLabel

Answer:
Distinct candidates (persons) who are recorded as candidates in Mayor of Germasogeia Municipality elections:

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

These are the distinct human candidates linked via either the election's candidate property (P726) or the person's 'candidacy in election' property (P3602) for elections that apply to the Germasogeia jurisdiction (wd:Q349340).