Triple

T4858794
Position Surface form Disambiguated ID Type / Status
Subject Aire and Calder Navigation E108603 entity
Predicate passesThrough P225 FINISHED
Object Castleford E142397 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: Castleford | Statement: [Aire and Calder Navigation, passesThrough, Castleford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castleford
Context triple: [Aire and Calder Navigation, passesThrough, Castleford]
  • A. Castleford chosen
    Castleford is a historic industrial town in northern England known for its coal mining heritage and location near the River Aire.
  • B. Huddersfield
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • C. Wakefield
    Wakefield is a historic cathedral city in West Yorkshire, Northern England, known for its medieval heritage and role as an administrative and commercial center in the region.
  • D. Wakefield
    Wakefield is a suburban town in Middlesex County, Massachusetts, known for its commuter access to Boston and its scenic Lake Quannapowitt.
  • E. Wakefield
    Wakefield is a picturesque village in western Quebec, Canada, known for its historic covered bridge, arts community, and scenic setting along the Gatineau River.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5b2f008190a5fd11d3aec165fb completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf05d7c8190ac6e1b9e93b5256f completed March 21, 2026, 8:55 a.m.
Created at: March 20, 2026, 1:26 p.m.