Triple

T22818230
Position Surface form Disambiguated ID Type / Status
Subject Kelvin Heights E565156 entity
Predicate hasViewOf P854 FINISHED
Object The Remarkables 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: The Remarkables | Statement: [Kelvin Heights, hasViewOf, The Remarkables]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Remarkables
Context triple: [Kelvin Heights, hasViewOf, The Remarkables]
  • A. The Remarkables chosen
    The Remarkables is a dramatic mountain range in New Zealand’s South Island, famed for its ski fields, striking alpine scenery, and proximity to Queenstown.
  • B. The Remarkables Ski Area
    The Remarkables Ski Area is a popular alpine ski resort in New Zealand’s South Island, known for its dramatic mountain scenery, varied terrain, and proximity to Queenstown.
  • C. Woodentop
    Woodentop is a British television police drama pilot that introduced the characters and format later developed into the long-running series "The Bill."
  • D. Mount Field
    Mount Field is a prominent peak in New Hampshire’s White Mountains, known for its forested summit and popular hiking trails with views of the surrounding Presidential Range.
  • E. Tararua Range
    The Tararua Range is a rugged mountain range in New Zealand known for its challenging tramping tracks, dense forests, and high rainfall.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dce762c8190934fb921f942c9fd completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.