Triple

T806783
Position Surface form Disambiguated ID Type / Status
Subject Cheshire E17454 entity
Predicate borders P224 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: [Cheshire, borders, Derbyshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derbyshire
Context triple: [Cheshire, borders, 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aac1142881908f6f78bfdb887930 completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8a96e40081909c2d532d68b0b248 completed March 8, 2026, 2:41 p.m.
Created at: March 1, 2026, 7:38 p.m.