Triple

T17643078
Position Surface form Disambiguated ID Type / Status
Subject Whitehill E429285 entity
Predicate hasNeighbour P5707 FINISHED
Object Headley 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: Headley | Statement: [Whitehill, hasNeighbour, Headley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Headley
Context triple: [Whitehill, hasNeighbour, Headley]
  • A. Headley
    Headley is a village in Surrey, England, known for its rural character and location within the North Downs.
  • B. Headley
    Headley is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and politics.
  • C. Headley chosen
    Headley is a village and civil parish in the East Hampshire district of Hampshire, England, known for its rural character and historic parish church.
  • D. Edgeley
    Edgeley is a suburban area in Stockport, Greater Manchester, historically part of Cheshire, known for its residential character and proximity to Stockport town centre.
  • E. Habberley
    Habberley is the distinctive given name of the British philosopher H. H. Price, known for his work in metaphysics and the philosophy of mind and religion.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de7055c819080d315bb3637882b completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:03 a.m.