Triple

T7535271
Position Surface form Disambiguated ID Type / Status
Subject Handforth E178133 entity
Predicate near P350 FINISHED
Object Wilmslow E16562 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: Wilmslow | Statement: [Handforth, near, Wilmslow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmslow
Context triple: [Handforth, near, Wilmslow]
  • A. Wilmslow chosen
    Wilmslow is an affluent town in Cheshire, England, known for its prosperous residential areas and location within the Greater Manchester commuter belt.
  • B. Northwich
    Northwich is a historic market and industrial town in Cheshire, England, traditionally known for its salt mining and chemical industries.
  • C. Chorleywood
    Chorleywood is a commuter village in South East England, known for its green spaces and location on the Metropolitan line within the London commuter belt.
  • D. Daresbury
    Daresbury is a village in Cheshire, England, best known as the birthplace of author Lewis Carroll and for its nearby national science and technology facilities.
  • E. Altrincham
    Altrincham is a market town in Greater Manchester, England, known for its historic center, commuter links to Manchester, and revitalized food and retail scene.
  • 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_69c84f0c02148190bb5f63cf9891ec0c completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:47 p.m.