Triple

T3834693
Position Surface form Disambiguated ID Type / Status
Subject South East London E91099 entity
Predicate contains P35 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: [South East London, contains, Bromley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bromley
Context triple: [South East London, contains, 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 suburban area and former parliamentary constituency in southeast London, England, historically represented in Parliament by future Prime Minister Edward Heath.
  • D. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • E. Purley
    Purley is a suburban town in South London known for its residential character and location within the London Borough of Croydon.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8a27688190866bc41441e2260c completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b069d3fc8190bac9d178a571b72d completed March 23, 2026, 3:15 a.m.
Created at: March 9, 2026, 3:18 p.m.