Triple

T5076634
Position Surface form Disambiguated ID Type / Status
Subject Jubilee line E114412 entity
Predicate serves P98 FINISHED
Object Willesden Green E598609 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: Willesden Green | Statement: [Jubilee line, serves, Willesden Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willesden Green
Context triple: [Jubilee line, serves, Willesden Green]
  • A. Willesden chosen
    Willesden is a residential district in the London Borough of Brent, known for its diverse community and good transport links in northwest London.
  • B. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • C. Harlesden
    Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
  • D. Ealing Green
    Ealing Green is a small historic green and surrounding area in the London Borough of Ealing, known for its village-like feel, period architecture, and proximity to Ealing’s town center.
  • E. Ealing Southall
    Ealing Southall is a UK parliamentary constituency in West London, known for its diverse, largely South Asian community and strong Labour Party representation.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d3b0088190a658864cb120eef4 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c750f84be081908fa4738e09cb884e completed March 28, 2026, 3:54 a.m.
Created at: March 20, 2026, 1:39 p.m.