Triple

T15332176
Position Surface form Disambiguated ID Type / Status
Subject Loen valley E366561 entity
Predicate hasWaterBody P165 FINISHED
Object Oldevatnet E368698 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: Oldevatnet | Statement: [Loen valley, hasWaterBody, Oldevatnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oldevatnet
Context triple: [Loen valley, hasWaterBody, Oldevatnet]
  • A. Oldevatnet chosen
    Oldevatnet is a scenic glacial lake in the Nordfjord region of Vestland county, western Norway, known for its turquoise waters and surrounding steep mountains.
  • B. Lovatnet
    Lovatnet is a scenic glacial lake in western Norway, renowned for its turquoise waters, dramatic surrounding mountains, and tragic history of devastating rockslide-induced tsunamis.
  • C. Vangsvatnet
    Vangsvatnet is a scenic lake in the municipality of Voss in western Norway, known for its surrounding mountains and popularity for outdoor and water sports activities.
  • D. Sandvinvatnet
    Sandvinvatnet is a lake in Ullensvang Municipality in Vestland county, western Norway, known for its scenic fjord-like setting beneath steep mountain slopes.
  • E. Lundevatnet
    Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f2754648190bfd0bd15f20b40d2 completed May 9, 2026, 4:21 p.m.
Created at: April 10, 2026, 3:17 a.m.