Triple

T4350009
Position Surface form Disambiguated ID Type / Status
Subject Gatwick Diamond E97999 entity
Predicate includesTown P847 FINISHED
Object Epsom E24540 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: Epsom | Statement: [Gatwick Diamond, includesTown, Epsom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epsom
Context triple: [Gatwick Diamond, includesTown, Epsom]
  • A. Epsom chosen
    Epsom is a market town in Surrey, England, best known for the Epsom Downs Racecourse and the famous Epsom Derby horse race.
  • B. Yate
    Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
  • C. Leamington Spa
    Leamington Spa is a historic spa town in Warwickshire, England, known for its Regency architecture, landscaped parks, and former popularity as a fashionable health resort.
  • D. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • E. Maidenhead
    Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351a840248190b88c8a7be9158d25 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b613504f3481908e9093700c25dd5f completed March 15, 2026, 2:02 a.m.
Created at: March 12, 2026, 11:15 p.m.