Triple
T23464344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | replica symmetry breaking |
E569064
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | concept in spin glass theory |
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: concept in spin glass theory Context triple: [replica symmetry breaking, instanceOf, concept in spin glass theory]
-
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.
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.
-
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.
concept in stochastic process theory
A concept in stochastic process theory is an abstract construct used to model and analyze systems that evolve randomly over time, capturing their probabilistic dynamics and dependencies.
-
E.
model of irreversibility
A model of irreversibility is a conceptual framework that represents processes or systems whose evolution cannot be exactly reversed, typically due to entropy increase, information loss, or path-dependent dynamics.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 5:54 p.m.