Triple

T6978392
Position Surface form Disambiguated ID Type / Status
Subject Black Hill E161773 entity
Predicate region P40 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: [Black Hill, region, Derbyshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derbyshire
Context triple: [Black Hill, region, 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. Leicestershire
    Leicestershire is a landlocked county in the East Midlands of England, known for its historic city of Leicester, diverse cultural heritage, and strong sporting traditions.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db68d25c8190a1776908619ad979 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827415f248190aa80f425c8ac3a99 completed March 28, 2026, 7:08 p.m.
Created at: March 27, 2026, 2:31 p.m.