Triple

T22285647
Position Surface form Disambiguated ID Type / Status
Subject TW3 E550853 entity
Predicate covers P1393 FINISHED
Object Hounslow town centre 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: Hounslow town centre | Statement: [TW3, covers, Hounslow town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hounslow town centre
Context triple: [TW3, covers, Hounslow town centre]
  • A. Hounslow chosen
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • B. Kentish Town
    Kentish Town is a residential and commercial district in north London known for its vibrant high street, music venues, and proximity to central London.
  • C. Hendon
    Hendon is an English surname most notably associated with the fictional character Miles Hendon from Mark Twain’s novel "The Prince and the Pauper."
  • D. Hendon
    Hendon is a suburban district in the London Borough of Barnet, historically known for its aerodrome and role in early British aviation.
  • E. Hendon
    Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15606948c81909ebaa5ea106d2b7a completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:40 p.m.