Triple

T7335943
Position Surface form Disambiguated ID Type / Status
Subject White Hart Lane station E169126 entity
Predicate hasBorough P300 FINISHED
Object Haringey E614139 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: Haringey | Statement: [White Hart Lane station, hasBorough, Haringey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haringey
Context triple: [White Hart Lane station, hasBorough, Haringey]
  • A. Haringey chosen
    Haringey is a London borough in north London that includes areas such as Tottenham, Wood Green, and Muswell Hill.
  • B. Redbridge
    Redbridge is a borough in northeast London, England, known for its suburban character, green spaces, and diverse communities.
  • C. Newham
    Newham is a diverse, densely populated borough in East London known for its major regeneration projects, including the Queen Elizabeth Olympic Park and surrounding developments.
  • 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. Enfield and Haringey
    Enfield and Haringey is a London Assembly constituency in North London that elects a representative to the Greater London Authority.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0c38d6c81908a57ef1eea0e4951 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1c351f848190a1f91a09f7319a01 completed April 2, 2026, 7:35 a.m.
Created at: March 27, 2026, 3:04 p.m.