Triple

T16124518
Position Surface form Disambiguated ID Type / Status
Subject Islington E391232 entity
Predicate hasNeighbour P5707 FINISHED
Object Haringey 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: Haringey | Statement: [Islington, hasNeighbour, Haringey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haringey
Context triple: [Islington, hasNeighbour, 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 (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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
Created at: April 10, 2026, 5 a.m.