Triple
T26497524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabeli Khola |
E669321
|
entity |
| Predicate | hydropowerProjectStatus |
P161714
|
FINISHED |
| Object | Kabeli-A Hydroelectric Project planned |
—
|
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: Kabeli-A Hydroelectric Project planned | Statement: [Kabeli Khola, hydropowerProjectStatus, Kabeli-A Hydroelectric Project planned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hydropowerProjectStatus Context triple: [Kabeli Khola, hydropowerProjectStatus, Kabeli-A Hydroelectric Project planned]
-
A.
hydropowerProjectType
Indicates the specific category or type of a hydropower project associated with an entity.
-
B.
isHydroelectricProjectOn
Indicates that a hydroelectric project is located on or situated along a specified water body or site.
-
C.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
-
D.
hasHydropowerRoleIn
Indicates that an entity plays a specific role or function related to hydropower within the context of another entity, project, or activity.
-
E.
isHydroelectricallyDeveloped
Indicates that an entity has been developed to generate electricity using hydropower infrastructure or facilities.
- F. None of above. chosen
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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 1:09 a.m.