Triple

T17657751
Position Surface form Disambiguated ID Type / Status
Subject Nesbyen E440168 entity
Predicate hasNearbyMountainArea P10602 FINISHED
Object Hallingdal highlands 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: Hallingdal highlands | Statement: [Nesbyen, hasNearbyMountainArea, Hallingdal highlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallingdal highlands
Context triple: [Nesbyen, hasNearbyMountainArea, Hallingdal highlands]
  • A. Hallingdal chosen
    Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
  • B. Hattfjelldal
    Hattfjelldal is a sparsely populated municipality in Nordland county, Norway, known for its mountainous terrain, extensive wilderness areas, and strong Sami cultural heritage.
  • C. Jostedalen
    Jostedalen is a valley and former municipality in western Norway, known for its dramatic glacial landscapes and proximity to the Jostedalsbreen glacier.
  • D. Velledalen
    Velledalen is a scenic valley in western Norway known for its dramatic fjord landscape and rural setting within Sykkylven municipality.
  • E. Østerdalen
    Østerdalen is a large, sparsely populated valley region in Innlandet county, Norway, known for its forests, rivers, and traditional rural culture.
  • 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_69e46ea3b4cc81908eec7032cf221d49 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:28 a.m.