Triple

T16262880
Position Surface form Disambiguated ID Type / Status
Subject Juvasshytta E394797 entity
Predicate accessRoadFrom P22549 FINISHED
Object Bøverdalen E581152 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: Bøverdalen | Statement: [Juvasshytta, accessRoadFrom, Bøverdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bøverdalen
Context triple: [Juvasshytta, accessRoadFrom, Bøverdalen]
  • A. Bøverdalen chosen
    Bøverdalen is a scenic valley in the municipality of Lom in Innlandet county, Norway, known as a gateway to the Jotunheimen mountains and surrounding national parks.
  • B. Sogndalsdalen
    Sogndalsdalen is a scenic valley in western Norway known for its dramatic landscapes, rivers, and access to hiking and outdoor activities.
  • C. Orkdalen
    Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
  • D. Beisfjorddalen
    Beisfjorddalen is a valley in the Ofoten district of Nordland county in northern Norway, known for its scenic landscapes and proximity to the village of Beisfjord near Narvik.
  • E. Bardudalen
    Bardudalen is a valley in Bardu Municipality in Troms county, northern Norway, known for its river Barduelva and surrounding mountainous landscapes.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c5583c8190901e892238cf8dbd completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c48c5cc8190ba99154e99942316 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:04 a.m.