Triple

T15302288
Position Surface form Disambiguated ID Type / Status
Subject Kjerag E365817 entity
Predicate knownFor P22 FINISHED
Object Kjeragbolten 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 | Statement: [Kjerag, knownFor, Kjeragbolten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kjeragbolten
Context triple: [Kjerag, knownFor, Kjeragbolten]
  • 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. Spiterstulen
    Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
  • C. Kjerkeberget
    Kjerkeberget is a forested hill in Norway that marks the highest natural point within Oslo’s municipal boundaries.
  • D. Bandåsen
    Bandåsen is the highest peak on the island of Ombo in Norway.
  • E. Tallkrogen
    Tallkrogen is a residential district in southern Stockholm, Sweden, known for its small-scale housing and garden-city character.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef86b8cc81909969098b1766f6b7 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.