Triple
T7903552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nernst equation |
E183515
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | thermodynamic relation |
C3053
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: thermodynamic relation Context triple: [Nernst equation, instanceOf, thermodynamic relation]
-
A.
thermodynamic parameter
A thermodynamic parameter is a macroscopic quantity (such as temperature, pressure, or volume) that characterizes the equilibrium state and energy relationships of a thermodynamic system.
-
B.
constitutive relation
A constitutive relation is a mathematical or physical law that links field variables (such as stress and strain or electric field and polarization) to characterize how a specific material or medium responds to external influences.
-
C.
concept in interfacial thermodynamics
A concept in interfacial thermodynamics is an abstract idea or theoretical construct used to describe, quantify, or predict the energetic and structural behavior of interfaces between phases, such as surfaces, membranes, or phase boundaries.
-
D.
equation in statistical physics
chosen
An equation in statistical physics is a mathematical relation that connects microscopic properties of particles and their interactions to macroscopic thermodynamic quantities, enabling the prediction of a system’s collective behavior.
-
E.
model of irreversibility
A model of irreversibility is a conceptual framework that represents processes or systems whose evolution cannot be exactly reversed, typically due to entropy increase, information loss, or path-dependent dynamics.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
Created at: March 30, 2026, 5:02 p.m.