Triple

T5408361
Position Surface form Disambiguated ID Type / Status
Subject Borrowdale E120947 entity
Predicate hasViewOf P854 FINISHED
Object Skiddaw range E141128 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: Skiddaw range | Statement: [Borrowdale, hasViewOf, Skiddaw range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skiddaw range
Context triple: [Borrowdale, hasViewOf, Skiddaw range]
  • A. Cumbrian Mountains
    The Cumbrian Mountains are a rugged upland region in northwest England, forming the core of the Lake District and containing the country’s highest peaks.
  • B. Skiddaw chosen
    Skiddaw is a prominent mountain in England’s Lake District, known for its rounded summit and popularity with walkers.
  • C. Snowdon Massif
    Snowdon Massif is the central mountainous group in Snowdonia, Wales, encompassing Snowdon and its surrounding peaks and ridges.
  • D. 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.
  • E. Howgill Fells
    Howgill Fells is a range of rounded, grassy hills in Northern England, lying between the Lake District and the Yorkshire Dales and known for their distinctive smooth slopes and popular walking routes.
  • 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_69bf411f8f3c81908ca8578a388261c6 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 2:05 p.m.