Triple
T36704105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortuin–Kasteleyn random cluster model |
E906308
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | lattice model in statistical mechanics |
C29217
|
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: lattice model in statistical mechanics Context triple: [Fortuin–Kasteleyn random cluster model, instanceOf, lattice model in statistical mechanics]
-
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.
mechanism in statistical physics
A mechanism in statistical physics is a fundamental process or interaction rule at the microscopic level that gives rise to observed macroscopic statistical behaviors and emergent phenomena.
-
C.
spin model
chosen
A spin model is a mathematical representation of interacting discrete magnetic moments (spins) on a lattice or graph, used to study phase transitions and collective behavior in statistical and condensed matter physics.
-
D.
model in solid-state physics
A model in solid-state physics is a theoretical framework or simplified representation used to describe, predict, and understand the behavior of electrons, atoms, and quasiparticles in crystalline and condensed matter systems.
-
E.
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.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.