Triple
T10026218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkwood approximation |
E200731
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | approximation method in statistical mechanics |
C23147
|
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: approximation method in statistical mechanics Context triple: [Kirkwood approximation, instanceOf, approximation method in statistical mechanics]
-
A.
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.
-
B.
approximation
An approximation is a value, representation, or solution that is close to, but not exactly equal to, a true or ideal quantity, used when exactness is unnecessary or unattainable.
-
C.
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.
-
D.
statistical closure theory
chosen
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.
-
E.
statistical inference method
A statistical inference method is a systematic procedure for drawing conclusions about a population’s properties based on observed sample data, often quantifying uncertainty through probabilities or confidence measures.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:54 p.m.