Triple

T600658
Position Surface form Disambiguated ID Type / Status
Subject Liverpool Urban Area E11484 entity
Predicate contains P35 FINISHED
Object Widnes 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 | Statement: [Liverpool Urban Area, contains, Widnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Widnes
Context triple: [Liverpool Urban Area, contains, Widnes]
  • A. Widnes chosen
    Widnes is an industrial town in Cheshire, England, historically known for its chemical industry and location on the River Mersey.
  • B. 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.
  • C. Wirral
    Wirral is a peninsula in North West England known for its mix of coastal towns, suburban areas, and countryside between the River Mersey and the River Dee.
  • D. 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.
  • E. 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.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d7a2180819086c7e9465a2d7432 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6786f051481909474159c0e1f886c completed March 3, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:35 p.m.