Triple

T15618250
Position Surface form Disambiguated ID Type / Status
Subject Stryn E375474 entity
Predicate hasLake P1025 FINISHED
Object Lovatnet E366562 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: Lovatnet | Statement: [Stryn, hasLake, Lovatnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lovatnet
Context triple: [Stryn, hasLake, Lovatnet]
  • A. Lovatnet chosen
    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.
  • B. Oldevatnet
    Oldevatnet is a scenic glacial lake in the Nordfjord region of Vestland county, western Norway, known for its turquoise waters and surrounding steep mountains.
  • C. Lundevatnet
    Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
  • D. Finsevatnet
    Finsevatnet is a high-altitude mountain lake in Ulvik municipality in Vestland county, Norway, known for its proximity to the Hardangerjøkulen glacier and the village of Finse.
  • E. 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.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59535908190a3d085a5e74b06e8 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:13 a.m.