Triple

T15302600
Position Surface form Disambiguated ID Type / Status
Subject Kvinnherad E365824 entity
Predicate containsWaterBody P1778 FINISHED
Object Valedalsvatnet E1156547 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: Valedalsvatnet | Statement: [Kvinnherad, containsWaterBody, Valedalsvatnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valedalsvatnet
Context triple: [Kvinnherad, containsWaterBody, Valedalsvatnet]
  • A. 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.
  • B. Lundevatnet
    Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
  • C. Blådalsvatnet chosen
    Blådalsvatnet is a lake in Kvinnherad Municipality in Vestland county, western Norway, known for its scenic mountainous surroundings and proximity to the Folgefonna glacier.
  • D. Sirdalsvatnet
    Sirdalsvatnet is a lake in Agder county, Norway, known for its elongated shape and scenic surroundings in the Sirdal valley.
  • E. Lesjaskogsvatnet
    Lesjaskogsvatnet is a high-altitude lake in Lesja, Innlandet county, Norway, notable for lying on a watershed divide and serving as the headwater for two major river systems.
  • 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_69ff2cea6bb88190a6d6f7c55daa4677 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:15 a.m.