Triple

T20175174
Position Surface form Disambiguated ID Type / Status
Subject Tupton E492070 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Wingerworth 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: Wingerworth | Statement: [Tupton, hasNearbySettlement, Wingerworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wingerworth
Context triple: [Tupton, hasNearbySettlement, Wingerworth]
  • A. Wingerworth chosen
    Wingerworth is a large suburban village in Derbyshire, England, situated just south of Chesterfield and known for its residential character and local amenities.
  • B. Willingdon
    Willingdon is a village in East Sussex, England, situated near the town of Hailsham.
  • C. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • D. Watlington
    Watlington is a residential suburb located within the city of Timaru in the Canterbury region of New Zealand.
  • E. Watlington
    Watlington is a small historic market town in Oxfordshire, England, known for its traditional high street and location near the Chiltern Hills.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668eaa3b88190bef4f2db0125fdfc completed April 20, 2026, 5:56 p.m.
Created at: April 11, 2026, 11:36 p.m.