Triple

T3579242
Position Surface form Disambiguated ID Type / Status
Subject Lysefjord E75760 entity
Predicate hasLandmark P105 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: [Lysefjord, hasLandmark, Kjeragbolten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kjeragbolten
Context triple: [Lysefjord, hasLandmark, 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. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • C. Egertorget
    Egertorget is a central public square and popular meeting point in downtown Oslo, Norway, known for its shops, street life, and role as a hub along the city’s main thoroughfare.
  • D. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • E. Jakobsberg
    Jakobsberg is a major suburban district and commercial center in the Stockholm metropolitan area, serving as the administrative seat of Järfälla Municipality in Sweden.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0defe14819095a337a840e33300 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402f36b2481909d4716e72a696e0d completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.