Triple

T18625869
Position Surface form Disambiguated ID Type / Status
Subject Willesden, London, England E455283 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Harlesden 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: Harlesden | Statement: [Willesden, London, England, hasNeighbourhood, Harlesden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlesden
Context triple: [Willesden, London, England, hasNeighbourhood, Harlesden]
  • A. Harlesden chosen
    Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
  • B. Willesden
    Willesden is a residential district in the London Borough of Brent, known for its diverse community and good transport links in northwest London.
  • C. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • 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. Hornsey and Wood Green
    Hornsey and Wood Green is a UK parliamentary constituency in North London, covering diverse residential areas including parts of the London Borough of Haringey.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f04d0cc81909c3c6022c5dfdb63 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.