Triple

T22112165
Position Surface form Disambiguated ID Type / Status
Subject Lakes parish E546443 entity
Predicate contains P35 FINISHED
Object Wansfell 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: Wansfell | Statement: [Lakes parish, contains, Wansfell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wansfell
Context triple: [Lakes parish, contains, Wansfell]
  • A. Wansfell Pike chosen
    Wansfell Pike is a popular fell in England’s Lake District offering panoramic views over Ambleside and Lake Windermere.
  • B. Hart Fell
    Hart Fell is a prominent hill in the Southern Uplands of Scotland, known for its sweeping views over the Moffat Hills and surrounding valleys.
  • C. Swatte Fell
    Swatte Fell is a hill in the Moffat Hills range of the Southern Uplands in Scotland, known for its upland moorland scenery and walking routes.
  • D. Grange Fell
    Grange Fell is a scenic hill in England’s Lake District, known for its rocky outcrops, woodland slopes, and popular walking routes overlooking Borrowdale.
  • E. Sca Fell
    Sca Fell is one of the highest and most prominent mountains in England’s Lake District, known for its rugged terrain and challenging hiking routes.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294ae7608190901745384a023bab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.