Triple

T22112391
Position Surface form Disambiguated ID Type / Status
Subject Craven district E546449 entity
Predicate contains P35 FINISHED
Object Grassington NE NERFINISHED

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: Grassington | Statement: [Craven district, contains, Grassington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grassington
Context triple: [Craven district, contains, Grassington]
  • A. Grassington chosen
    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.
  • 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. Northallerton
    Northallerton is a historic market town and the county town of North Yorkshire, England, known for its traditional high street and role as an administrative and commercial centre for the surrounding rural area.
  • D. Wetherby
    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.
  • E. Knottingley
    Knottingley is a small town in West Yorkshire, England, historically known for its glassmaking and situated on the banks of the River Aire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294ae7608190901745384a023bab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.