Triple

T17657290
Position Surface form Disambiguated ID Type / Status
Subject Heimefront Range E440157 entity
Predicate hasSubrange P2889 FINISHED
Object Sivorgfjella 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: Sivorgfjella | Statement: [Heimefront Range, hasSubrange, Sivorgfjella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sivorgfjella
Context triple: [Heimefront Range, hasSubrange, Sivorgfjella]
  • A. Milorgfjella chosen
    Milorgfjella is a mountain subrange in Queen Maud Land, Antarctica, forming part of the larger Heimefront Range.
  • B. Narvikfjellet
    Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
  • C. Saltfjellet
    Saltfjellet is a large mountainous region in northern Norway known for its rugged peaks, extensive plateau, and the Saltfjellet–Svartisen National Park.
  • D. Heilefjellet
    Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western Norway.
  • E. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea2b3308190b9ad752728d98856 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:27 a.m.