Triple

T5384019
Position Surface form Disambiguated ID Type / Status
Subject Mam Tor E113158 entity
Predicate partOf 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: [Mam Tor, partOf, Dark Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark Peak
Context triple: [Mam Tor, partOf, 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. Kettleby
    Kettleby is a small rural community in King Township, Ontario, known for its historic character and scenic countryside.
  • D. Farndale
    Farndale is a scenic valley in the North York Moors of England, renowned for its springtime displays of wild daffodils along the River Dove.
  • E. Dark Peak moorlands
    The Dark Peak moorlands are a high, rugged expanse of peat bogs and heather-clad uplands forming the wild, northern gritstone heart of England’s Peak District.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86f39edc81908e53973cef1bc0f3 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf295030b081909bea5e946aac098b completed March 21, 2026, 11:27 p.m.
Created at: March 20, 2026, 2:03 p.m.