Triple
T27565614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangdechhu |
E695891
|
entity |
| Predicate | hydropowerCapacity |
P53312
|
FINISHED |
| Object | 720 MW |
—
|
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: 720 MW | Statement: [Mangdechhu, hydropowerCapacity, 720 MW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hydropowerCapacity Context triple: [Mangdechhu, hydropowerCapacity, 720 MW]
-
A.
hydroelectricStationCapacity
Indicates the maximum amount of electrical power that a hydroelectric station is capable of producing under specified conditions.
-
B.
hydropowerPotential
Indicates the amount of energy that could be generated from water resources at a given site or region under specified conditions.
-
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.
rankAmongWorldHydroelectricPlantsByCapacity
Indicates the position of a hydroelectric plant in a global ranking ordered by its electricity generation capacity.
-
E.
totalElectricalCapacity_MWe
chosen
Indicates the total electrical power generation capacity, measured in megawatts electric (MWe), that an entity can produce or supply.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 1:41 p.m.