Triple

T11622605
Position Surface form Disambiguated ID Type / Status
Subject Hornsey E276174 entity
Predicate adjacentTo P224 FINISHED
Object Harringay E485206 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: Harringay | Statement: [Hornsey, adjacentTo, Harringay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harringay
Context triple: [Hornsey, adjacentTo, Harringay]
  • A. Gants Hill
    Gants Hill is a suburban district in northeast London known for its busy road junction, Underground station on the Central line, and mix of residential and commercial areas.
  • B. Harlesden
    Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
  • C. Wood Green chosen
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • D. Barnet
    Barnet is a suburban area and parliamentary constituency in North London, England, known for its residential character and role in Greater London politics.
  • E. Walthamstow
    Walthamstow is a district in northeast London, England, known for its diverse community, historic market, and role as a parliamentary constituency.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f67c5c80cc819099b0ad7a2911781c completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:39 p.m.