Triple

T5236638
Position Surface form Disambiguated ID Type / Status
Subject Mobberley E118235 entity
Predicate hasPostTown P2711 FINISHED
Object Knutsford E128954 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: Knutsford | Statement: [Mobberley, hasPostTown, Knutsford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knutsford
Context triple: [Mobberley, hasPostTown, Knutsford]
  • A. Knutsford chosen
    Knutsford is a historic market town in Cheshire, England, known for its picturesque streets, affluent character, and literary associations with Elizabeth Gaskell.
  • B. Winsford
    Winsford is a town in Cheshire, England, known historically for its salt mining industry and its location along the River Weaver.
  • C. Northwich
    Northwich is a historic market and industrial town in Cheshire, England, traditionally known for its salt mining and chemical industries.
  • D. Nantwich
    Nantwich is a historic market town in northwest England known for its well-preserved Tudor and Georgian architecture and long association with the salt industry.
  • E. Runcorn
    Runcorn is an industrial town in Cheshire, England, situated on the southern bank of the River Mersey and known for its chemical industry and transport links.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2595c88190b4ca0b99c2f31472 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe6323708190bfc95f01c65dc234 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:49 p.m.