Triple
T2126745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope Creek Nuclear Generating Station |
E46443
|
entity |
| Predicate | thermalCapacity_MWt |
P18503
|
FINISHED |
| Object | approximately 3,840 |
—
|
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: approximately 3,840 | Statement: [Hope Creek Nuclear Generating Station, thermalCapacity_MWt, approximately 3,840]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermalCapacity_MWt Context triple: [Hope Creek Nuclear Generating Station, thermalCapacity_MWt, approximately 3,840]
-
A.
thermalPower
chosen
Indicates the amount of heat energy per unit time that a system, device, or process generates, transfers, or consumes.
-
B.
turbineCapacity
Indicates the power-generating capacity or rated output of a turbine.
-
C.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
D.
totalCapacity
Indicates the maximum amount or volume that something can hold or accommodate in total.
-
E.
emitsMoreEnergyThanItReceives
Indicates that the subject releases a greater amount of energy than it takes in from its surroundings or inputs.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb59182081908470f9be97e272c8 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.