Triple

T19277495
Position Surface form Disambiguated ID Type / Status
Subject North Harrow Underground station E482094 entity
Predicate locatedIn P40 FINISHED
Object North Harrow 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: North Harrow | Statement: [North Harrow Underground station, locatedIn, North Harrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Harrow
Context triple: [North Harrow Underground station, locatedIn, North Harrow]
  • A. North Harrow chosen
    North Harrow is a suburban residential district in northwest London known for its local shopping area, transport links, and community amenities.
  • B. Harrow East
    Harrow East is a UK parliamentary constituency in northwest London, covering part of the suburban area within the London Borough of Harrow.
  • C. Harrow Green
    Harrow Green is a locality in the Leytonstone area of East London, known for its junction and surrounding residential and commercial streets.
  • D. Harrow on the Hill
    Harrow on the Hill is a historic village and suburban area in northwest London, known for its elevated position, picturesque streets, and the prestigious Harrow School.
  • E. South Harrow
    South Harrow is a suburban district in the London Borough of Harrow, known for its residential character, local shopping areas, and transport links including South Harrow Underground station on the Piccadilly line.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbd5f34819086535f28fd880411 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:30 p.m.