Triple

T5191486
Position Surface form Disambiguated ID Type / Status
Subject Derbyshire Dales District E117165 entity
Predicate contains P35 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: [Derbyshire Dales District, contains, Ashbourne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashbourne
Context triple: [Derbyshire Dales District, contains, 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. Ashby
    Ashby is a small town in north-central Massachusetts, United States, known for its rural character and proximity to the city of Fitchburg.
  • C. Ashby
    Ashby is a surname most notably associated with Hal Ashby, the influential American film director known for 1970s classics such as "Harold and Maude" and "Being There."
  • D. Ashover
    Ashover is a rural village and civil parish in Derbyshire, England, known for its scenic countryside and historic stone buildings.
  • E. Biddulph
    Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79ed61c88190bda492f6489f44de completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09146788190bfaac25a31e76ab5 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.