Triple
T2632939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keswick Dam |
E59675
|
entity |
| Predicate | plantCapacity |
P35295
|
FINISHED |
| Object | 117 megawatts |
—
|
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: 117 megawatts | Statement: [Keswick Dam, plantCapacity, 117 megawatts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantCapacity Context triple: [Keswick Dam, plantCapacity, 117 megawatts]
-
A.
turbineCapacity
Indicates the power-generating capacity or rated output of a turbine.
-
B.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
C.
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.
-
D.
hydroelectricStationCapacity
Indicates the maximum amount of electrical power that a hydroelectric station is capable of producing under specified conditions.
-
E.
powerplantType
Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.