Triple

T14753599
Position Surface form Disambiguated ID Type / Status
Subject City Thameslink station E346674 entity
Predicate servesDestination P2066 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: [City Thameslink station, servesDestination, Wimbledon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wimbledon
Context triple: [City Thameslink station, servesDestination, 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9c725881908004368772fa528d completed May 8, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:30 a.m.