Triple

T409334
Position Surface form Disambiguated ID Type / Status
Subject River Mersey E9452 entity
Predicate flowsThrough P225 FINISHED
Object Runcorn E15158 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: Runcorn | Statement: [River Mersey, flowsThrough, Runcorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runcorn
Context triple: [River Mersey, flowsThrough, Runcorn]
  • A. Runcorn chosen
    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.
  • B. Widnes
    Widnes is an industrial town in Cheshire, England, historically known for its chemical industry and location on the River Mersey.
  • C. Clitheroe
    Clitheroe is a historic market town in northern England, known for its medieval castle and scenic location in the Ribble Valley.
  • D. Saltney
    Saltney is a town near the England–Wales border, close to Chester, known historically for its industrial activity and proximity to the River Dee.
  • E. 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.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecc098c4819088d127c5ea55ced9 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e6cf1048190abf3f13ba35a3980 completed March 1, 2026, 1:26 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.