Triple

T10259112
Position Surface form Disambiguated ID Type / Status
Subject Boston Spa E240547 entity
Predicate nearbySettlement P350 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: [Boston Spa, nearbySettlement, Wetherby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wetherby
Context triple: [Boston Spa, nearbySettlement, 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24e94e08190ad2b9733bf621fe4 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7e9a9d48190865f047750d7bc6c completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:31 a.m.