Triple
T7287617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onsager–Machlup function |
E163913
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | concept in nonequilibrium statistical mechanics |
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: concept in nonequilibrium statistical mechanics Context triple: [Onsager–Machlup function, instanceOf, concept in nonequilibrium statistical mechanics]
-
A.
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.
-
B.
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.
-
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.
mean-field theory
Mean-field theory is an approximate method in statistical physics and related fields that replaces the complex interactions of many components with an average or "mean" effect, allowing tractable analysis of collective behavior.
-
E.
concept
A concept is an abstract idea or mental representation that groups together related objects, events, or qualities based on shared characteristics.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
Created at: March 27, 2026, 2:59 p.m.