Triple

T7566049
Position Surface form Disambiguated ID Type / Status
Subject Isleworth railway station E178914 entity
Predicate locatedIn P40 FINISHED
Object Isleworth E75117 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: Isleworth | Statement: [Isleworth railway station, locatedIn, Isleworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isleworth
Context triple: [Isleworth railway station, locatedIn, Isleworth]
  • A. Isleworth chosen
    Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
  • B. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • C. Harmondsworth
    Harmondsworth is a village in the London Borough of Hillingdon, England, known for its historic Great Barn and proximity to Heathrow Airport.
  • D. Chertsey
    Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
  • E. Rickmansworth
    Rickmansworth is a small town in south-west Hertfordshire, England, known for its canals, lakes, and role as a commuter suburb of London.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fde87c81909795fc713d7378ff completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d046ccbe588190a0ba7f276d874825 completed April 3, 2026, 11:01 p.m.
Created at: March 27, 2026, 3:50 p.m.