Triple

T10970271
Position Surface form Disambiguated ID Type / Status
Subject WTA Grand Slam E259214 entity
Predicate includesTournament P48631 FINISHED
Object Wimbledon E61345 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wimbledon | Statement: [WTA Grand Slam, includesTournament, Wimbledon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wimbledon
Context triple: [WTA Grand Slam, includesTournament, Wimbledon]
  • A. Wimbledon chosen
    Wimbledon is a district in southwest London best known for hosting the prestigious annual Wimbledon tennis championships, the oldest tennis tournament in the world.
  • B. Wombleton
    Wombleton is a small village in North Yorkshire, England, situated within the Ryedale district.
  • C. Queen’s Club, London
    Queen’s Club, London is a historic private sporting club in West Kensington best known for its prestigious grass-court tennis and real tennis facilities and for hosting major pre-Wimbledon tournaments.
  • D. National Tennis Centre
    The National Tennis Centre is a premier tennis training and competition facility located at the University of Stirling in Scotland.
  • E. Australian Open
    The Australian Open is one of tennis's four Grand Slam tournaments, held annually in Melbourne and known for its hard courts and intense summer conditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77198e5408190904b2bb603d1bc16 completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344a2130081908d9d22ee84890925 completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:24 p.m.