Triple

T4894792
Position Surface form Disambiguated ID Type / Status
Subject Dent, Yorkshire, England E109648 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Sedbergh E61104 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: Sedbergh | Statement: [Dent, Yorkshire, England, hasNearbySettlement, Sedbergh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sedbergh
Context triple: [Dent, Yorkshire, England, hasNearbySettlement, Sedbergh]
  • A. Sedbergh chosen
    Sedbergh is a small historic market town in Cumbria, England, known for its scenic location near the Yorkshire Dales and its long-established public school, Sedbergh School.
  • B. Sorisdale
    Sorisdale is a small coastal settlement on the island of Coll in the Inner Hebrides of Scotland.
  • C. Mutford
    Mutford is a small rural village and civil parish in the county of Suffolk in eastern England.
  • D. Ribblehead
    Ribblehead is a remote hamlet in North Yorkshire, England, best known for its dramatic moorland setting and the iconic Ribblehead Viaduct on the Settle–Carlisle railway.
  • E. Keswick
    Keswick is a historic market town and popular tourist base in England’s Lake District, known for its scenic setting near Derwentwater and surrounding fells.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e26b6808190a84e3e8466f2b4e9 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc665e08190ae067746d6c19018 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.