Triple

T21044096
Position Surface form Disambiguated ID Type / Status
Subject Tony McNulty E518404 entity
Predicate constituency P9851 FINISHED
Object Harrow East 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: Harrow East | Statement: [Tony McNulty, constituency, Harrow East]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrow East
Context triple: [Tony McNulty, constituency, Harrow East]
  • A. Harrow East chosen
    Harrow East is a UK parliamentary constituency in northwest London, covering part of the suburban area within the London Borough of Harrow.
  • B. Harrow Green
    Harrow Green is a locality in the Leytonstone area of East London, known for its junction and surrounding residential and commercial streets.
  • C. North Harrow
    North Harrow is a suburban residential district in northwest London known for its local shopping area, transport links, and community amenities.
  • D. Harrow West
    Harrow West is a UK parliamentary constituency in northwest London, covering part of the suburban area within the London Borough of Harrow.
  • E. Harrow
    Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf2fc4881909b9e3400864e6b82 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:20 p.m.