Triple

T17861045
Position Surface form Disambiguated ID Type / Status
Subject Øvre Årdal E446070 entity
Predicate hasAlternativeName P39 FINISHED
Object Ovre Årdal (anglicized) 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: Ovre Årdal (anglicized) | Statement: [Øvre Årdal, hasAlternativeName, Ovre Årdal (anglicized)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ovre Årdal (anglicized)
Context triple: [Øvre Årdal, hasAlternativeName, Ovre Årdal (anglicized)]
  • A. Øvre Årdal chosen
    Øvre Årdal is a small industrial village in Vestland county, Norway, known as a gateway to the Jotunheimen mountain area and its popular hiking routes.
  • B. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • C. Årnes
    Årnes is a small Norwegian town situated along the Glomma River, known as a local administrative and commercial center in Nes municipality in Viken county.
  • D. Årdal
    Årdal is a municipality in Vestland county, Norway, known for its dramatic fjord landscape, hydroelectric power production, and aluminum industry.
  • E. Årvoll
    Årvoll is a residential neighborhood in Oslo, Norway, known for its proximity to Lillomarka forest and a mix of apartment blocks and low-rise housing.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4979013dc8190beb7718f0ba92bc3 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.