Triple

T8879255
Position Surface form Disambiguated ID Type / Status
Subject River Dearne E211366 entity
Predicate flowsThrough P225 FINISHED
Object Barnsley E140156 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: Barnsley | Statement: [River Dearne, flowsThrough, Barnsley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnsley
Context triple: [River Dearne, flowsThrough, Barnsley]
  • A. Barnsley chosen
    Barnsley is a large market town and former industrial centre in South Yorkshire, England, historically known for coal mining and glassmaking.
  • B. Rotherham
    Rotherham is a large town in South Yorkshire, England, historically known for its coal mining and steel industries and now part of the wider Sheffield urban area.
  • C. Middlesbrough
    Middlesbrough is a large industrial town and port in North Yorkshire, England, known historically for its steelmaking and chemical industries on the River Tees.
  • D. Huddersfield
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • E. 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.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614ad1908190a77808fcf7f3e531 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba1809dc81909776f1268cae9004 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:52 p.m.