Triple
T10060473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsallis divergence |
E212974
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | concept in nonextensive statistical mechanics |
C946
|
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 nonextensive statistical mechanics Context triple: [Tsallis divergence, instanceOf, concept in nonextensive 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.
entropy measure
chosen
An entropy measure is a quantitative metric that captures the amount of uncertainty, randomness, or information content in a system, distribution, or process.
-
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
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.
statistical closure theory
Statistical closure theory is a framework in which an infinite hierarchy of statistical moment equations for a complex system is approximated by expressing higher-order moments in terms of lower-order ones, yielding a tractable closed set of equations.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
Created at: March 30, 2026, 8:57 p.m.