Triple

T17727112
Position Surface form Disambiguated ID Type / Status
Subject Glåma E442490 entity
Predicate tributary P415 FINISHED
Object Trysilelva 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: Trysilelva | Statement: [Glåma, tributary, Trysilelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trysilelva
Context triple: [Glåma, tributary, Trysilelva]
  • A. Trysilelva chosen
    Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
  • B. Reisaelva
    Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
  • C. Svaliava
    Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
  • D. Ytteren
    Ytteren is a residential village in Nordland county, Norway, situated near the town of Mo i Rana within Rana Municipality.
  • E. Sveio
    Sveio is a coastal municipality in Vestland county in western Norway, known for its rugged shoreline, islands, and rural landscapes.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e3cb708190b47456ad2008a65e completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:07 a.m.