Triple

T7182581
Position Surface form Disambiguated ID Type / Status
Subject John Cheshire E167484 entity
Predicate familyName P18 FINISHED
Object Cheshire E17454 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: Cheshire | Statement: [John Cheshire, familyName, Cheshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheshire
Context triple: [John Cheshire, familyName, Cheshire]
  • A. Cheshire chosen
    Cheshire is a ceremonial and historic county in North West England known for its rural landscapes, affluent towns, and production of Cheshire cheese.
  • B. Cheshire
    Cheshire is a small rural town in Berkshire County, Massachusetts, known for its scenic setting in the Berkshire Hills and its historic New England character.
  • C. Cheshire East
    Cheshire East is a unitary authority area in North West England, encompassing a mix of towns and rural communities and forming part of the wider Cheshire county.
  • D. 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.
  • E. Somerset
    Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8bd52648190a22412300254e5d4 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b94390d48190b7443c9c8cc41625 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.