Triple

T10852570
Position Surface form Disambiguated ID Type / Status
Subject Vamma power station E256183 entity
Predicate nearbyRiverSection P15504 FINISHED
Object lower Glomma E96298 NE FINISHED

How this triple was built (3 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: lower Glomma | Statement: [Vamma power station, nearbyRiverSection, lower Glomma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: lower Glomma
Context triple: [Vamma power station, nearbyRiverSection, lower Glomma]
  • A. Drammenselva
    Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
  • B. Glomma chosen
    Glomma is Norway’s longest and largest river, flowing through Eastern Norway before emptying into the Oslofjord.
  • C. Moldeelva
    Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
  • D. Solbergelva
    Solbergelva is a village in Viken county, Norway, situated along the Drammenselva river and functioning largely as a residential suburb of Drammen.
  • E. Gavleån
    Gavleån is a river in eastern Sweden that flows through the province of Gästrikland to the Gulf of Bothnia, passing the city of Gävle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyRiverSection
Context triple: [Vamma power station, nearbyRiverSection, lower Glomma]
  • A. nearbyWatercourse
    Indicates that one entity is located close to or alongside a natural or artificial watercourse, such as a river, stream, or canal.
  • B. riverLocation
    Indicates that a river is located in, passes through, or is geographically associated with a specified place or region.
  • C. nearbyWaterfall
    Indicates that the entity is located close to or within a short distance of a waterfall.
  • D. locatedInRiverArea
    Indicates that one entity is situated within the geographic area occupied by, adjacent to, or directly associated with a particular river.
  • E. closelyAssociatedRiver chosen
    Indicates a river that is geographically or functionally closely connected to the subject, such as flowing nearby, through, or otherwise strongly linked to it.
  • F. None of above.

Provenance (4 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75134299481909459fd87917261a7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb17d978c8190883b4a56e88859de completed April 14, 2026, 9:28 p.m.
PD Predicate disambiguation batch_69d70d2b51448190bae748ed6c23edde completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:20 p.m.