Triple

T1149729
Position Surface form Disambiguated ID Type / Status
Subject Ambleside E23647 entity
Predicate hasRiver P165 FINISHED
Object Stock Ghyll E131879 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: Stock Ghyll | Statement: [Ambleside, hasRiver, Stock Ghyll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stock Ghyll
Context triple: [Ambleside, hasRiver, Stock Ghyll]
  • A. Stock Ghyll Force chosen
    Stock Ghyll Force is a picturesque multi-tiered waterfall set in woodland near Ambleside in England’s Lake District, popular for its short walking trails and scenic viewpoints.
  • B. Place Fell
    Place Fell is a prominent fell in England's Lake District, offering scenic hiking routes and expansive views over Ullswater and the surrounding valleys.
  • C. Ill Crag
    Ill Crag is a prominent high fell in England’s Lake District, forming part of the Scafell massif and offering rugged terrain and expansive mountain views.
  • D. Dark Peak
    Dark Peak is the wild, gritstone-dominated northern area of England’s Peak District, known for its moorlands, peat bogs, and rugged upland scenery.
  • E. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc730b008190bd0901e0a47a4b7a completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac667a61248190b71033daadef58e3 completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:44 p.m.