Triple
T12703532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clausius theorem |
E303521
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | thermodynamic theorem |
C28166
|
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 theorem Context triple: [Clausius theorem, instanceOf, thermodynamic theorem]
-
A.
formulation of the second law of thermodynamics
chosen
The formulation of the second law of thermodynamics is the conceptual class encompassing the various equivalent statements that express the fundamental irreversibility of natural processes and the tendency of isolated systems toward increased entropy.
-
B.
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.
-
C.
critique of Boltzmann’s H-theorem
A critique of Boltzmann’s H-theorem examines the assumptions and limitations of his statistical derivation of the second law of thermodynamics, particularly issues of time-reversal invariance, molecular chaos, and the emergence of irreversibility from reversible microscopic dynamics.
-
D.
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.
-
E.
mathematical theorem
A mathematical theorem is a rigorously proven statement derived from axioms and previously established results, expressing a fundamental truth within a formal mathematical system.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
Created at: April 9, 2026, 5:23 p.m.