Triple

T14933732
Position Surface form Disambiguated ID Type / Status
Subject Potters Bar E372335 entity
Predicate hasRailServiceTo P726 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: [Potters Bar, hasRailServiceTo, Wimbledon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wimbledon
Context triple: [Potters Bar, hasRailServiceTo, 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, 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bd3fef481908e4d2ffdcfa87def completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:37 a.m.