Triple
T32879328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayer f-function formalism |
E841012
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cluster expansion method |
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: cluster expansion method Context triple: [Mayer f-function formalism, instanceOf, cluster expansion method]
-
A.
generalization of the Ising model
A generalization of the Ising model is a statistical physics framework that extends the original spin-½ lattice system to more complex spins, interactions, geometries, or degrees of freedom to describe a wider range of phase transitions and critical phenomena.
-
B.
expansion
Expansion is the process or state of increasing in size, scope, quantity, or influence, often by extending beyond original boundaries or limits.
-
C.
ensemble number
An ensemble number is a unique identifier assigned to a specific musical ensemble, used to catalog, reference, and manage that group within a larger organizational or archival system.
-
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.
phase transition theory
Phase transition theory is the conceptual framework that explains how and why systems undergo abrupt qualitative changes in state or behavior when external conditions, such as temperature or pressure, cross critical thresholds.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:18 a.m.