Triple
T24845946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nkula Falls power station |
E621745
|
entity |
| Predicate | typeOfHydropowerPlant |
P161567
|
FINISHED |
| Object | run-of-river power plant |
—
|
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: run-of-river power plant | Statement: [Nkula Falls power station, typeOfHydropowerPlant, run-of-river power plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHydropowerPlant Context triple: [Nkula Falls power station, typeOfHydropowerPlant, run-of-river power plant]
-
A.
hydropowerProjectType
chosen
Indicates the specific category or type of a hydropower project associated with an entity.
-
B.
powerplantType
Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
-
C.
hasHydropowerRoleIn
Indicates that an entity plays a specific role or function related to hydropower within the context of another entity, project, or activity.
-
D.
powerplantTypeTested
Indicates that a specific type of power plant has been subjected to testing or evaluation.
-
E.
rankAmongWorldHydroelectricPlantsByCapacity
Indicates the position of a hydroelectric plant in a global ranking ordered by its electricity generation capacity.
- 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 18, 2026, 5:19 a.m.