Triple
T37074948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnot engine |
E917683
|
entity |
| Predicate | hasColdReservoirTemperatureSymbol |
—
|
GENERATED |
| Object | Tc |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColdReservoirTemperatureSymbol Context triple: [Carnot engine, hasColdReservoirTemperatureSymbol, Tc]
-
A.
symbolOfTemperature
chosen
Indicates that one entity serves as a symbolic representation or notation used to express the temperature of another entity.
-
B.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
C.
isCryogenic
Indicates that something operates at, is designed for, or involves extremely low (cryogenic) temperatures.
-
D.
hasTemperatureQualifier
Indicates that a temperature value is associated with a specific qualifier (such as approximate, minimum, maximum, or range) that refines or constrains its meaning.
-
E.
reservoirTemperature
Indicates the temperature value measured or assigned to a reservoir in the context of the described system or process.
- F. None of above.
Provenance (1 batch)
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_69f76e9771e08190a690834e3cd20654 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.