Triple
T36119123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Røssvatnet |
E1044691
|
entity |
| Predicate | hasHydropowerRole |
P136372
|
FINISHED |
| Object | reservoir for Røssåga power plants |
—
|
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: reservoir for Røssåga power plants | Statement: [Røssvatnet, hasHydropowerRole, reservoir for Røssåga power plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydropowerRole Context triple: [Røssvatnet, hasHydropowerRole, reservoir for Røssåga power plants]
-
A.
hasHydropowerRoleIn
chosen
Indicates that an entity plays a specific role or function related to hydropower within the context of another entity, project, or activity.
-
B.
isHydroelectricallyDeveloped
Indicates that an entity has been developed to generate electricity using hydropower infrastructure or facilities.
-
C.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
-
D.
hasHydroelectricInfrastructureNearby
Indicates that there is hydroelectric infrastructure located in close proximity to the referenced entity.
-
E.
hydropowerPotential
Indicates the amount of energy that could be generated from water resources at a given site or region under specified conditions.
- 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_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.