Triple

T15302670
Position Surface form Disambiguated ID Type / Status
Subject Vøringsfossen E365825 entity
Predicate valley P650 FINISHED
Object Måbødalen E1170039 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: Måbødalen | Statement: [Vøringsfossen, valley, Måbødalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Måbødalen
Context triple: [Vøringsfossen, valley, Måbødalen]
  • A. Måbødalen chosen
    Måbødalen is a dramatic river valley and gorge in western Norway, renowned for its steep cliffs, winding road, and proximity to major waterfalls and fjord landscapes.
  • B. Østerdalen
    Østerdalen is a large, sparsely populated valley region in Innlandet county, Norway, known for its forests, rivers, and traditional rural culture.
  • 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. Møysalen
    Møysalen is a prominent mountain in northern Norway known for its rugged alpine scenery and popular hiking routes.
  • E. Meråker
    Meråker is a mountainous municipality in Trøndelag county, Norway, known for its outdoor recreation, skiing facilities, and proximity to the Swedish border.
  • 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_69ff6ec2f35c8190a96af080cd7b6d0e completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 3:15 a.m.