Triple

T1375443
Position Surface form Disambiguated ID Type / Status
Subject White Peak E29210 entity
Predicate hasSettlement P1068 FINISHED
Object Ashbourne E141493 NE FINISHED

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: Ashbourne | Statement: [White Peak, hasSettlement, Ashbourne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashbourne
Context triple: [White Peak, hasSettlement, Ashbourne]
  • A. Ashbourne chosen
    Ashbourne is a historic market town in Derbyshire, England, known for its traditional architecture and annual Royal Shrovetide Football match.
  • B. Sandbach
    Sandbach is a historic market town in Cheshire, England, noted for its Saxon crosses and traditional town centre.
  • C. Banbury
    Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
  • D. Kendal
    Kendal is a historic market town in northwest England, known for its wool trade heritage, distinctive grey limestone buildings, and the mint cake associated with mountaineering.
  • E. Stroud
    Stroud is a small community within the town of Innisfil in Ontario, Canada, known for its residential character and proximity to Lake Simcoe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2f7aeb08190b52ef1058c18327e completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace56940408190aeba5a342ae3ab17 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.