Triple
T18865050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogoliubov–Born–Green–Kirkwood–Yvon hierarchy |
E461416
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | theoretical construct 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: theoretical construct in statistical mechanics Context triple: [Bogoliubov–Born–Green–Kirkwood–Yvon hierarchy, instanceOf, theoretical construct in statistical mechanics]
-
A.
statistical ensemble
A statistical ensemble is a large collection of hypothetical copies of a system, each representing a possible microstate consistent with given macroscopic conditions, used to calculate average physical properties in statistical mechanics.
-
B.
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.
-
C.
theory in theoretical physics
A theory in theoretical physics is a mathematically formulated, logically consistent framework that explains and predicts physical phenomena by modeling fundamental entities and their interactions.
-
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.
theoretical model
A theoretical model is an abstract, simplified representation of a system or phenomenon used to explain, predict, or understand its behavior based on underlying principles and assumptions.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 10, 2026, 11:57 a.m.