Triple

T18103900
Position Surface form Disambiguated ID Type / Status
Subject Woodmansterne E433297 entity
Predicate locatedNear P294 FINISHED
Object Purley NE NERFINISHED

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: Purley | Statement: [Woodmansterne, locatedNear, Purley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purley
Context triple: [Woodmansterne, locatedNear, Purley]
  • A. Purley chosen
    Purley is a suburban town in South London known for its residential character and location within the London Borough of Croydon.
  • B. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • C. Surbiton
    Surbiton is a suburban area in southwest London, England, known for its commuter links to central London and its leafy residential character.
  • D. Burgess Hill
    Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
  • E. Harmondsworth
    Harmondsworth is a village in the London Borough of Hillingdon, England, known for its historic Great Barn and proximity to Heathrow Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb8dd308190a9c98ac2b1d8b872 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:28 a.m.