Triple
T16642657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Årdal Municipality |
E404379
|
entity |
| Predicate | hasHydropowerPlants |
P65769
|
FINISHED |
| Object | Årdal hydropower system |
—
|
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: Årdal hydropower system | Statement: [Årdal Municipality, hasHydropowerPlants, Årdal hydropower system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydropowerPlants Context triple: [Årdal Municipality, hasHydropowerPlants, Årdal hydropower system]
-
A.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
-
B.
hydropowerPlantCountry
Indicates that a hydropower plant is located in, or belongs to, a specific country.
-
C.
hasHydroelectricDevelopments
chosen
Indicates that one entity possesses, contains, or is associated with hydroelectric power generation installations or projects.
-
D.
hydropowerPotential
Indicates the amount of energy that could be generated from water resources at a given site or region under specified conditions.
-
E.
numberOfHydroelectricStations
Indicates the quantity of hydroelectric power stations associated with a given 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad27b5481908316b4f23fb8bc32 |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e296af2f88819092c9ffee4a65d7dd |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:18 a.m.