Triple

T4458775
Position Surface form Disambiguated ID Type / Status
Subject Lågen E98197 entity
Predicate formsPartOf P840 FINISHED
Object Mjøsa–Vorma–Glomma river system E96298 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: Mjøsa–Vorma–Glomma river system | Statement: [Lågen, formsPartOf, Mjøsa–Vorma–Glomma river system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mjøsa–Vorma–Glomma river system
Context triple: [Lågen, formsPartOf, Mjøsa–Vorma–Glomma river system]
  • A. Glomma chosen
    Glomma is Norway’s longest and largest river, flowing through Eastern Norway before emptying into the Oslofjord.
  • B. Drammenselva
    Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
  • C. Moldeelva
    Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
  • D. Målselva
    Målselva is a major river in Troms, northern Norway, known for its salmon fishing and scenic valley landscapes.
  • E. Børselva
    Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567184f481908a2787e4ac9bb345 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b66b31c9488190bc24f802fff24073 completed March 15, 2026, 8:17 a.m.
Created at: March 12, 2026, 11:33 p.m.