Triple

T89198
Position Surface form Disambiguated ID Type / Status
Subject England E1791 entity
Predicate highestPoint P210 FINISHED
Object Scafell Pike E22649 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: Scafell Pike | Statement: [England, highestPoint, Scafell Pike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scafell Pike
Context triple: [England, highestPoint, Scafell Pike]
  • A. Scafell Pike chosen
    Scafell Pike is the highest mountain in England, located in the Lake District National Park.
  • B. Ben Nevis
    Ben Nevis is the tallest mountain in the British Isles, located near Fort William in the Scottish Highlands and popular for hiking and climbing.
  • C. White Peak
    White Peak is the limestone plateau region of England’s Peak District, known for its rolling dales, dry stone walls, and pastoral landscapes.
  • D. Kinder Scout
    Kinder Scout is a prominent moorland plateau in Derbyshire, England, famed for its role in the 1932 mass trespass that helped secure public access to the English countryside.
  • E. Snaefell
    Snaefell is a prominent mountain on the Isle of Man known for its panoramic views, from which it is said you can see six kingdoms on a clear day.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a383e3575c8190932dcdc25503d06e completed March 1, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3861002e48190a2f2ac4595eb0679 completed March 1, 2026, 12:19 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.