Triple

T2925337
Position Surface form Disambiguated ID Type / Status
Subject Widnes railway station E78828 entity
Predicate near P350 FINISHED
Object Widnes town centre E15899 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: Widnes town centre | Statement: [Widnes railway station, near, Widnes town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Widnes town centre
Context triple: [Widnes railway station, near, Widnes town centre]
  • A. Widnes chosen
    Widnes is an industrial town in Cheshire, England, historically known for its chemical industry and location on the River Mersey.
  • B. Widnes railway station
    Widnes railway station is a passenger rail station in Widnes, Cheshire, England, providing regional train services on the Liverpool–Manchester line.
  • C. Warrington
    Warrington is a large town in Cheshire, England, situated between Liverpool and Manchester on the River Mersey and known historically for its role in industry and transport.
  • D. Worsley
    Worsley is a village in Greater Manchester, England, historically significant as a coal-mining and canal hub central to the early Industrial Revolution.
  • E. 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.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0563a81788190b94fab34e41a76e7 completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:55 p.m.