Triple
T15696004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revelstoke Dam |
E380460
|
entity |
| Predicate | fifthUnitCapacity |
P80385
|
FINISHED |
| Object | 500 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: 500 MW | Statement: [Revelstoke Dam, fifthUnitCapacity, 500 MW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifthUnitCapacity Context triple: [Revelstoke Dam, fifthUnitCapacity, 500 MW]
-
A.
unitCapacity
chosen
Indicates the maximum quantity or load that a single unit is designed or allowed to hold, process, or accommodate.
-
B.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
C.
capacityPerSide
Indicates the maximum quantity or volume that each individual side or unit in a pair can hold or accommodate.
-
D.
dataCapacity
Indicates the maximum amount of data that something can store, handle, or transmit.
-
E.
installedCapacity
Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.