Triple

T2986296
Position Surface form Disambiguated ID Type / Status
Subject BR2 E80632 entity
Predicate postTown P2711 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: [BR2, postTown, Bromley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bromley
Context triple: [BR2, postTown, 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. Bexley
    Bexley is a suburban area and former parliamentary constituency in southeast London, England, historically represented in Parliament by future Prime Minister Edward Heath.
  • C. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • D. Surbiton
    Surbiton is a suburban area in southwest London, England, known for its commuter links to central London and its leafy residential character.
  • E. London Borough of Bromley
    The London Borough of Bromley is a large outer borough in southeast Greater London, known for its extensive green spaces, suburban character, and historic villages such as Downe.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c76dfc8190b08bd6110ffabf25 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77765a788190aaf4637ad4cab5ed completed March 21, 2026, 10:48 a.m.
Created at: March 8, 2026, 2:59 p.m.