Triple

T14610101
Position Surface form Disambiguated ID Type / Status
Subject Hodder Valley E342935 entity
Predicate hasSettlement P1068 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: [Hodder Valley, hasSettlement, Whitewell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitewell
Context triple: [Hodder Valley, hasSettlement, 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. Northington
    Northington is a small rural village in Hampshire, England, known for its historic country estate The Grange and its surrounding parkland.
  • E. 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.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44f0dd48190a78662b5998a6722 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91d05e48190ac945e381d6d5dd9 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.