Triple

T11105102
Position Surface form Disambiguated ID Type / Status
Subject River Sett E262607 entity
Predicate sourceLocation P40 FINISHED
Object Dark Peak E22653 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: Dark Peak | Statement: [River Sett, sourceLocation, Dark Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark Peak
Context triple: [River Sett, sourceLocation, Dark Peak]
  • A. Dark Peak chosen
    Dark Peak is the wild, gritstone-dominated northern area of England’s Peak District, known for its moorlands, peat bogs, and rugged upland scenery.
  • B. Sandymoor
    Sandymoor is a residential suburb and civil parish in the Borough of Halton, Cheshire, England, known for its modern housing developments and proximity to Runcorn.
  • C. Chapelwaite
    Chapelwaite is the eerie, ancestral mansion central to the horror narrative of Stephen King’s “Jerusalem’s Lot,” serving as the primary setting for its supernatural events.
  • D. Leconfield
    Leconfield is a village in the East Riding of Yorkshire, England, known historically for its nearby Royal Air Force station and its rural setting.
  • E. Kettleby
    Kettleby is a small rural community in King Township, Ontario, known for its historic character and scenic countryside.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2e319881909e66d3c0c73b56bc completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441c3b1788190868fae6919544149 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:27 p.m.