Triple

T36119105
Position Surface form Disambiguated ID Type / Status
Subject Røssvatnet E1044691 entity
Predicate hasHydroelectricSignificance P141449 FINISHED
Object true LITERAL 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: true | Statement: [Røssvatnet, hasHydroelectricSignificance, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHydroelectricSignificance
Context triple: [Røssvatnet, hasHydroelectricSignificance, true]
  • A. hasHydropowerRoleIn
    Indicates that an entity plays a specific role or function related to hydropower within the context of another entity, project, or activity.
  • B. isHydroelectricallyDeveloped chosen
    Indicates that an entity has been developed to generate electricity using hydropower infrastructure or facilities.
  • C. hasHydroelectricHeritage
    Indicates that an entity possesses historical or cultural significance related to hydroelectric power development, use, or infrastructure.
  • D. hasHydroelectricProject
    Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
  • E. hasHydroelectricInfrastructureNearby
    Indicates that there is hydroelectric infrastructure located in close proximity to the referenced entity.
  • F. None of above.

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_69f76e344a4c8190af3858c6d78ba88f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b3e2f3c08190be4fd1ae4fa1266d completed May 3, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69f7b1bcc47081909fe7d592ac69006c completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:08 p.m.