Triple
T1462419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fluctuation–dissipation theorem |
E31542
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | theorem in 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: theorem in statistical mechanics Context triple: [fluctuation–dissipation theorem, instanceOf, theorem in statistical mechanics]
-
A.
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.
-
B.
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.
-
C.
quantum statistics
Quantum statistics is the branch of physics and mathematics that studies the statistical behavior of systems of indistinguishable quantum particles, governed by Bose-Einstein or Fermi-Dirac distributions rather than classical Maxwell-Boltzmann statistics.
-
D.
fundamental physical law
A fundamental physical law is a universal, empirically validated principle that describes how basic aspects of the physical universe consistently behave under specified conditions.
-
E.
law of black-body radiation
The law of black-body radiation describes how an idealized object emits electromagnetic radiation with an intensity and spectrum that depend solely on its temperature, as quantified by Planck’s radiation formula.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
Created at: March 1, 2026, 8 p.m.