Triple

T7535284
Position Surface form Disambiguated ID Type / Status
Subject Handforth E178133 entity
Predicate historicalCounty P1069 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: [Handforth, historicalCounty, Cheshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheshire
Context triple: [Handforth, historicalCounty, 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84c13208190971096a0b81b0ff2 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870741e2481909020633203003a68 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:47 p.m.