Triple

T9222971
Position Surface form Disambiguated ID Type / Status
Subject Grove Park E221607 entity
Predicate hasNearbyArea P4647 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: [Grove Park, hasNearbyArea, Bromley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bromley
Context triple: [Grove Park, hasNearbyArea, 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda7903208190b4e29a1591aab78a completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff74d59f88190bbd975521b16ae49 completed April 15, 2026, 8:38 p.m.
Created at: March 30, 2026, 7:28 p.m.