Triple
T28009816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Power Nuclear Generating Station |
E707383
|
entity |
| Predicate | approximateNetCapacity |
P21034
|
FINISHED |
| Object | over 6,000 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: over 6,000 MW | Statement: [Bruce Power Nuclear Generating Station, approximateNetCapacity, over 6,000 MW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNetCapacity Context triple: [Bruce Power Nuclear Generating Station, approximateNetCapacity, over 6,000 MW]
-
A.
approximateCapacity
chosen
Indicates that one entity has an estimated or rough capacity value relative to another or to a specified measure.
-
B.
totalCapacity
Indicates the maximum amount or volume that something can hold or accommodate in total.
-
C.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
D.
operatorCapacity
Indicates the maximum workload or volume of tasks that an operator is able to handle within a given context or time frame.
-
E.
transmissionCapacity
Indicates the maximum amount of data or power that can be transmitted through a channel, link, or system over a given period.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: April 27, 2026, 8:03 p.m.