Triple

T20258809
Position Surface form Disambiguated ID Type / Status
Subject Findern E498775 entity
Predicate countrySubdivision P766 FINISHED
Object Derbyshire E20773 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: Derbyshire | Statement: [Findern, countrySubdivision, Derbyshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derbyshire
Context triple: [Findern, countrySubdivision, Derbyshire]
  • A. Derbyshire chosen
    Derbyshire is a county in the East Midlands of England known for its rural landscapes, historic market towns, and much of the Peak District National Park.
  • B. Staffordshire
    Staffordshire is a landlocked county in the West Midlands of England known for its industrial heritage, particularly in pottery and brewing, and its mix of rural landscapes and historic towns.
  • C. Nottinghamshire
    Nottinghamshire is a historic county in the East Midlands of England, best known as the legendary home of Robin Hood and the Sherwood Forest.
  • D. Warwickshire
    Warwickshire is a historic county in the West Midlands of England, known for its market towns, rural landscapes, and literary associations including being the home county of William Shakespeare.
  • E. Lestershire
    Lestershire was the former name of Johnson City, a village in Broome County, New York, historically associated with early industrial and shoe manufacturing development.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c84e848190a6e8956698b84026 completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085518281081908dfe007d069500e8 completed May 16, 2026, 11:29 a.m.
Created at: April 11, 2026, 11:41 p.m.