Triple

T20175725
Position Surface form Disambiguated ID Type / Status
Subject Well dressing E492089 entity
Predicate notableIn P22 FINISHED
Object Youlgreave NE NERFINISHED

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: Youlgreave | Statement: [Well dressing, notableIn, Youlgreave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youlgreave
Context triple: [Well dressing, notableIn, Youlgreave]
  • A. Youlgreave chosen
    Youlgreave is a picturesque village in England’s Peak District, known for its historic stone buildings and scenic setting between the rivers Bradford and Lathkill.
  • B. Yockenthwaite
    Yockenthwaite is a small hamlet in the Yorkshire Dales, England, known for its traditional stone buildings and scenic rural surroundings.
  • C. Goyt Valley
    Goyt Valley is a scenic upland valley in the Peak District of England, known for its reservoirs, moorland landscapes, and popular walking routes.
  • D. Gudgenby Valley
    Gudgenby Valley is a scenic alpine valley in the Australian Capital Territory known for its rugged granite landscapes, native wildlife, and bushwalking opportunities within Namadgi National Park.
  • E. Churnet Valley
    Churnet Valley is a picturesque river valley in Staffordshire, England, known for its wooded landscapes, historic industrial sites, and heritage railway.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668eb50a48190af7de53680ca2f5d completed April 20, 2026, 5:56 p.m.
Created at: April 11, 2026, 11:36 p.m.