Triple
T4611756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandoh Dam |
E100573
|
entity |
| Predicate | associatedPowerPlantCapacity |
P54646
|
FINISHED |
| Object | 990 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: 990 MW | Statement: [Pandoh Dam, associatedPowerPlantCapacity, 990 MW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPowerPlantCapacity Context triple: [Pandoh Dam, associatedPowerPlantCapacity, 990 MW]
-
A.
powerplantPower
Indicates that a power plant provides or generates a specified amount of electrical power.
-
B.
powerplantFor
Indicates that one entity functions as the power plant or primary energy source serving another entity.
-
C.
grossElectricalCapacity_MWe
chosen
Indicates the total electrical power output capacity of a generating unit, measured in megawatts electric (MWe), before accounting for internal power consumption or losses.
-
D.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
-
E.
netElectricalCapacity_MWe
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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59bffbf08190b13ef0810e6f9d19 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.