Triple

T15245055
Position Surface form Disambiguated ID Type / Status
Subject Worcester Park (part) E364356 entity
Predicate railServicesTo P69007 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: [Worcester Park (part), railServicesTo, Epsom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epsom
Context triple: [Worcester Park (part), railServicesTo, 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. Bursley
    Bursley is a fictional Staffordshire pottery town created by Arnold Bennett as one of his "Five Towns" and used as a principal setting in several of his novels.
  • D. 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.
  • E. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f306f08190be448b215d6c9b6c completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f184d481909eb4294ee3648226 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.