Triple

T16196646
Position Surface form Disambiguated ID Type / Status
Subject Lysebotn E393076 entity
Predicate hasViewpointAccess P55417 FINISHED
Object Kjeragbolten area E365817 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: Kjeragbolten area | Statement: [Lysebotn, hasViewpointAccess, Kjeragbolten area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kjeragbolten area
Context triple: [Lysebotn, hasViewpointAccess, Kjeragbolten area]
  • A. Kjerag chosen
    Kjerag is a famous mountain in Norway’s Lysefjord known for its towering cliffs, popular hiking routes, and the iconic Kjeragbolten boulder wedged between two rock faces.
  • B. Strynefjell area
    Strynefjell area is a mountainous region in western Norway known for its dramatic alpine landscapes, glaciers, and scenic routes.
  • C. Skeikampen area
    Skeikampen area is a popular Norwegian mountain region known for its ski resort, hiking terrain, and outdoor recreational activities in Gausdal.
  • D. Nybrokajen area
    The Nybrokajen area is a central waterfront district in Stockholm known for its harbor, promenades, and proximity to cultural and commercial attractions.
  • E. Galdhøpiggen area
    The Galdhøpiggen area is a mountainous region in Norway centered around Galdhøpiggen, the country’s highest peak, known for alpine landscapes, glaciers, and popular hiking 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222dace848190b1a98e47333b922b completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0f352081908324783743e47029 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.