Triple

T21412913
Position Surface form Disambiguated ID Type / Status
Subject Bedale E528219 entity
Predicate hasNearbyTown P3883 FINISHED
Object Northallerton 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: Northallerton | Statement: [Bedale, hasNearbyTown, Northallerton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northallerton
Context triple: [Bedale, hasNearbyTown, Northallerton]
  • A. Northallerton chosen
    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.
  • B. Knottingley
    Knottingley is a small town in West Yorkshire, England, historically known for its glassmaking and situated on the banks of the River Aire.
  • C. Knaresborough
    Knaresborough is a historic market and spa town in northern England, known for its medieval castle ruins overlooking the River Nidd and its picturesque viaduct.
  • D. 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.
  • E. Mirfield
    Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b20017d8819096b1a679edc8943a completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:44 p.m.