Triple

T11325285
Position Surface form Disambiguated ID Type / Status
Subject Dunsop Bridge E268195 entity
Predicate near P350 FINISHED
Object Whitewell E342933 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: Whitewell | Statement: [Dunsop Bridge, near, Whitewell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitewell
Context triple: [Dunsop Bridge, near, Whitewell]
  • A. Whitewell chosen
    Whitewell is a small rural hamlet in Lancashire, England, known for its scenic setting in the Forest of Bowland and traditional stone buildings.
  • B. Whitewell Bottom
    Whitewell Bottom is a small village in Lancashire, England, situated in the Rossendale Valley and known for its residential character and surrounding Pennine countryside.
  • C. Killingworth
    Killingworth is a village in North Tyneside, England, historically notable for its early coal mining and railway engineering associations.
  • D. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • E. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e122e48190b3f890de8d561480 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525fb8d74819089d1505d1f0f116c completed April 19, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:32 p.m.