Triple

T23511258
Position Surface form Disambiguated ID Type / Status
Subject Burnsall E572426 entity
Predicate near P350 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: [Burnsall, near, Grassington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grassington
Context triple: [Burnsall, near, 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa7e99b081909620c4f951100023 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:07 p.m.