Triple

T15395510
Position Surface form Disambiguated ID Type / Status
Subject Kingston, England E368166 entity
Predicate near P350 FINISHED
Object Wimbledon, London 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, London | Statement: [Kingston, England, near, Wimbledon, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wimbledon, London
Context triple: [Kingston, England, near, Wimbledon, London]
  • 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, now known as the Aviva Centre, is a major tennis stadium and tournament venue located on the campus of York University in Toronto, Canada.
  • E. National Tennis Centre
    The National Tennis Centre is a premier tennis training and competition facility located at the University of Stirling in Scotland.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ac79081908ac79c0b3e7587ff completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13523f548190beafd130f8741465 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.