Triple
T2126775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope Creek Nuclear Generating Station |
E46443
|
entity |
| Predicate | coolingSystemType |
P11564
|
FINISHED |
| Object | closed-cycle cooling with cooling tower |
—
|
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: closed-cycle cooling with cooling tower | Statement: [Hope Creek Nuclear Generating Station, coolingSystemType, closed-cycle cooling with cooling tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coolingSystemType Context triple: [Hope Creek Nuclear Generating Station, coolingSystemType, closed-cycle cooling with cooling tower]
-
A.
coolingMethod
chosen
Indicates the technique or process used to remove heat from something or keep it at a lower temperature.
-
B.
coolant
Indicates that one entity functions as a coolant for another, serving to absorb and remove heat from it.
-
C.
airIntakeType
Indicates the type or configuration of the system or mechanism used to draw air into an engine or device.
-
D.
coolingStrategy
Indicates the method or approach used to reduce or control temperature in a system or environment.
-
E.
hasCentralTank
Indicates that an entity possesses or is equipped with a primary central tank as a key component or feature.
- 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.