Triple

T19035611
Position Surface form Disambiguated ID Type / Status
Subject Dollis Hill E465863 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Willesden Green 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: Willesden Green | Statement: [Dollis Hill, hasNeighbourhood, Willesden Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willesden Green
Context triple: [Dollis Hill, hasNeighbourhood, 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. Perivale
    Perivale is a suburban area in the London Borough of Ealing, known for its residential neighborhoods, industrial estates, and green spaces in west London.
  • E. 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.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7438f748190912c28912e6b97a6 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.