Triple
T2373606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ising model |
E46143
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | statistical mechanics model |
C324
|
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: statistical mechanics model Context triple: [Ising model, instanceOf, statistical mechanics model]
-
A.
theoretical model
chosen
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.
-
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.
model in superconductivity
A model in superconductivity is a theoretical framework that describes how electrons pair and move without resistance in certain materials below a critical temperature, capturing key phenomena such as the Meissner effect and energy gap formation.
-
D.
statistical framework
A statistical framework is a structured set of principles, assumptions, and methods that guides how data are collected, modeled, analyzed, and interpreted to draw valid inferences about underlying phenomena.
-
E.
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.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
Created at: March 4, 2026, 7:56 p.m.