Triple

T14816440
Position Surface form Disambiguated ID Type / Status
Subject West Ham United Women E348329 entity
Predicate homeCity P263 FINISHED
Object Dagenham 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: Dagenham | Statement: [West Ham United Women, homeCity, Dagenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagenham
Context triple: [West Ham United Women, homeCity, Dagenham]
  • A. Dagenham chosen
    Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
  • B. Rainham
    Rainham is a suburban town in East London, England, known for its residential character and proximity to the River Thames.
  • C. Hainault
    Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
  • D. Sidcup
    Sidcup is a suburban district in southeast London, England, known for its residential character, local colleges, and position within the London Borough of Bexley.
  • E. Dartford
    Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe2c1ec81908b3dff7a5d0e85d0 completed April 14, 2026, 11:38 p.m.
Created at: April 10, 2026, 1:49 a.m.