Triple
T24261609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangtuda 1 Dam |
E604717
|
entity |
| Predicate | generatorCapacity |
P35295
|
FINISHED |
| Object | 167.5 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: 167.5 MW | Statement: [Sangtuda 1 Dam, generatorCapacity, 167.5 MW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generatorCapacity Context triple: [Sangtuda 1 Dam, generatorCapacity, 167.5 MW]
-
A.
plannedCapacityMW
Indicates the intended or scheduled power generation capacity of an energy asset, measured in megawatts (MW).
-
B.
grossElectricalCapacity_MWe
Indicates the total electrical power output capacity of a generating unit, measured in megawatts electric (MWe), before accounting for internal power consumption or losses.
-
C.
generationUnits
Indicates a relationship where specific units or components are responsible for generating or producing something within a system or process.
-
D.
electricPowerOutput
Indicates the amount of electrical power produced or delivered by an entity.
-
E.
netElectricalCapacity_MWe
chosen
Indicates the relationship specifying an entity’s net electrical power generation capacity, measured in megawatts electric (MWe), after accounting for internal power consumption.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6727388190862e3ce09c372c70 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.