Triple

T5408379
Position Surface form Disambiguated ID Type / Status
Subject Seathwaite in Borrowdale E120948 entity
Predicate near P350 FINISHED
Object Seathwaite Fell E526115 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: Seathwaite Fell | Statement: [Seathwaite in Borrowdale, near, Seathwaite Fell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seathwaite Fell
Context triple: [Seathwaite in Borrowdale, near, Seathwaite Fell]
  • A. Seathwaite Fell chosen
    Seathwaite Fell is a prominent Lake District fell in Cumbria, England, known for its rugged terrain, scenic views, and popularity with hillwalkers.
  • B. Coniston Fells
    Coniston Fells is a rugged group of mountains in the Lake District of northwest England, known for peaks like the Old Man of Coniston and popular hiking and climbing routes.
  • C. Helvellyn
    Helvellyn is a prominent mountain in England’s Lake District, renowned for its dramatic ridges, scenic views, and popularity with hikers and climbers.
  • D. Loughrigg Fell
    Loughrigg Fell is a popular low fell in England’s Lake District known for its accessible walking routes and panoramic views over nearby lakes and valleys.
  • E. Skiddaw
    Skiddaw is a prominent mountain in England’s Lake District, known for its rounded summit and popularity with walkers.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8794e0c4819082bebf2da5e41201 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfbd5d67c881909b57ead8968a840b completed March 22, 2026, 9:58 a.m.
Created at: March 20, 2026, 2:05 p.m.