Triple

T21993734
Position Surface form Disambiguated ID Type / Status
Subject Hillingdon E543150 entity
Predicate contains P35 FINISHED
Object Harefield 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: Harefield | Statement: [Hillingdon, contains, Harefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harefield
Context triple: [Hillingdon, contains, Harefield]
  • A. Harefield chosen
    Harefield is a village in the London Borough of Hillingdon on the northwestern edge of Greater London, known for its semi-rural character and historic heart.
  • B. Harefield
    Harefield is a rural locality within the Riverina region of New South Wales, Australia, situated in the local government area of Junee Shire.
  • C. Winchmore Hill
    Winchmore Hill is a suburban residential area in north London known for its village-like green, period housing, and commuter links into central London.
  • D. Winchmore Hill
    Winchmore Hill is a small village in the Chiltern district of Buckinghamshire, England, known for its rural character and traditional English countryside setting.
  • E. Shepherdswell
    Shepherdswell is a village in Kent, England, situated in the Dover district and known for its rural setting and historic parish church.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1270f77fc8190aadcc02760d65ac0 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:17 p.m.