Triple

T1066005
Position Surface form Disambiguated ID Type / Status
Subject Kinder Scout E23210 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: [Kinder Scout, partOf, Dark Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark Peak
Context triple: [Kinder Scout, 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. Sorisdale
    Sorisdale is a small coastal settlement on the island of Coll in the Inner Hebrides of Scotland.
  • C. Hebden Bridge
    Hebden Bridge is a small, picturesque market town in West Yorkshire, England, known for its artistic community, independent shops, and scenic setting in the Calder Valley.
  • D. Northern Moor
    Northern Moor is a suburban residential area in south Manchester, England, known for its local amenities and tram links into the city centre.
  • E. Haddon Hall
    Haddon Hall is a well-preserved medieval and Tudor country house in Derbyshire, England, renowned for its historic architecture and picturesque riverside setting.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b910c6d481909c56f961a0e8720c completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a336388190a6d18fda8a7a151d completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.