Triple

T17223384
Position Surface form Disambiguated ID Type / Status
Subject Lyndon James E418046 entity
Predicate basedIn P40 FINISHED
Object Nottinghamshire E23795 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: Nottinghamshire | Statement: [Lyndon James, basedIn, Nottinghamshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nottinghamshire
Context triple: [Lyndon James, basedIn, Nottinghamshire]
  • A. Nottinghamshire chosen
    Nottinghamshire is a historic county in the East Midlands of England, best known as the legendary home of Robin Hood and the Sherwood Forest.
  • B. 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.
  • C. 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.
  • D. Derbyshire
    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.
  • E. 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.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddf2c3c8190b6adceaaefd4ccbf completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01673e1be08190b39c38fd8115a02c completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.