Triple

T22762799
Position Surface form Disambiguated ID Type / Status
Subject Lake District fells E563035 entity
Predicate contains P35 FINISHED
Object Dollywaggon Pike 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: Dollywaggon Pike | Statement: [Lake District fells, contains, Dollywaggon Pike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dollywaggon Pike
Context triple: [Lake District fells, contains, Dollywaggon Pike]
  • A. Dollywaggon Pike chosen
    Dollywaggon Pike is a prominent Lake District fell in Cumbria, England, known for its rugged slopes and panoramic views over the surrounding Eastern Fells.
  • B. Heron Pike
    Heron Pike is a fell in England’s Lake District, forming part of the Eastern Fells and offering popular walking routes with views over Grasmere and Rydal Water.
  • C. Greenhorn Mountain
    Greenhorn Mountain is a prominent peak in southern Colorado’s Wet Mountains range, known for its high elevation and expansive views over the surrounding landscape.
  • D. Rossett Pike
    Rossett Pike is a prominent fell in England's Lake District, popular with walkers for its views over Langdale and Borrowdale.
  • E. Dollar Mountain
    Dollar Mountain is a smaller, beginner-friendly ski hill in Sun Valley, Idaho, known for its gentle slopes and terrain parks.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7dd9348190ba7c74362ad30b1e completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.