Triple
T482526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N Reactor |
E9800
|
entity |
| Predicate | coolingSource |
P10369
|
FINISHED |
| Object | Columbia River water |
—
|
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: Columbia River water | Statement: [N Reactor, coolingSource, Columbia River water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coolingSource Context triple: [N Reactor, coolingSource, Columbia River water]
-
A.
coolingMethod
Indicates the technique or process used to remove heat from something or keep it at a lower temperature.
-
B.
coolingStrategy
Indicates the method or approach used to reduce or control temperature in a system or environment.
-
C.
coolant
chosen
Indicates that one entity functions as a coolant for another, serving to absorb and remove heat from it.
-
D.
temperatureControlMethod
Indicates the method or mechanism used to regulate or maintain a desired temperature.
-
E.
operatingTemperature
Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f05a7f6c819082b4a5a3e69468a6 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf321288190b5d560f75782c2cb |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.