Triple

T6186789
Position Surface form Disambiguated ID Type / Status
Subject River Wharfe E138080 entity
Predicate flowsThrough P225 FINISHED
Object Wetherby E168262 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: Wetherby | Statement: [River Wharfe, flowsThrough, Wetherby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wetherby
Context triple: [River Wharfe, flowsThrough, Wetherby]
  • A. Wetherby chosen
    Wetherby is a market town in West Yorkshire, England, situated on the River Wharfe and known historically as a key coaching stop between London and Edinburgh.
  • B. Mirfield
    Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
  • C. Knottingley
    Knottingley is a small town in West Yorkshire, England, historically known for its glassmaking and situated on the banks of the River Aire.
  • D. Sowerby Bridge
    Sowerby Bridge is a market town in Calderdale, West Yorkshire, England, known for its industrial heritage, canal and railway junctions, and position in the Upper Calder Valley.
  • E. Grassington
    Grassington is a picturesque village and popular tourist destination in North Yorkshire, England, known for its traditional stone buildings, scenic Dales surroundings, and cultural events.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0621671988190938dd16242a2e4d5 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16effda2481909dad5732077cf1d3 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.