Triple

T806789
Position Surface form Disambiguated ID Type / Status
Subject Cheshire E17454 entity
Predicate containsSettlement P847 FINISHED
Object Warrington E14818 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: Warrington | Statement: [Cheshire, containsSettlement, Warrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warrington
Context triple: [Cheshire, containsSettlement, Warrington]
  • A. Warrington chosen
    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.
  • B. Widnes
    Widnes is an industrial town in Cheshire, England, historically known for its chemical industry and location on the River Mersey.
  • C. Ellesmere Port
    Ellesmere Port is an industrial town and port in Cheshire, England, known for its docks on the Manchester Ship Canal and proximity to Liverpool.
  • D. Wigan
    Wigan is a large town in North West England known historically for its coal mining and cotton industries and today for its rugby league and football clubs.
  • E. Crewe
    Crewe is a major railway town in Cheshire, England, historically known as a key junction on the British rail network and a center of railway engineering.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aac1142881908f6f78bfdb887930 completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf4f602481908f9c399063a605b9 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:38 p.m.