Triple

T12295552
Position Surface form Disambiguated ID Type / Status
Subject Churchill Theatre E293074 entity
Predicate locatedIn P40 FINISHED
Object Bromley E55630 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: Bromley | Statement: [Churchill Theatre, locatedIn, Bromley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bromley
Context triple: [Churchill Theatre, locatedIn, Bromley]
  • A. Bromley chosen
    Bromley is a large suburban town in southeast London, England, known as a major commercial and retail centre within the London Borough of Bromley.
  • B. Bexleyheath
    Bexleyheath is a suburban district and major commercial centre in the London Borough of Bexley, southeast London, England.
  • C. Bexley
    Bexley is a surname most notably associated with American actor and comedian Don Bexley, known for his role on the television show "Sanford and Son."
  • D. Bexley
    Bexley is a suburban area and former parliamentary constituency in southeast London, England, historically represented in Parliament by future Prime Minister Edward Heath.
  • E. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed903808190b7ed90e0db3d7586 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb6b97888190923ce7a6e59ff752 completed May 8, 2026, 3:04 p.m.
Created at: April 8, 2026, 9:52 p.m.