Triple

T22592637
Position Surface form Disambiguated ID Type / Status
Subject Oadby E564987 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Wigston 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: Wigston | Statement: [Oadby, hasNeighbouringSettlement, Wigston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wigston
Context triple: [Oadby, hasNeighbouringSettlement, Wigston]
  • A. Wigston chosen
    Wigston is a town in the East Midlands of England, situated just south of Leicester in the county of Leicestershire.
  • B. Wigton
    Wigton is a small market town in Cumbria, England, serving as a local commercial and service hub for surrounding rural communities.
  • C. Waterston
    Waterston is a surname most notably associated with the American acting family that includes veteran actor Sam Waterston and his children.
  • D. Eaglesham
    Eaglesham is a historic conservation village in East Renfrewshire, Scotland, known for its planned 18th-century layout and rural character.
  • E. Blackstoun
    Blackstoun is an alternative historical or variant spelling of the name Blackstone, which is associated with various people, places, and institutions.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16162c2cc8190a506776ac52356d7 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.