Triple
T11108869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potts model |
E262702
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | generalization of the Ising model |
C29218
|
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: generalization of the Ising model Context triple: [Potts model, instanceOf, generalization of the Ising model]
-
A.
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.
-
B.
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.
-
C.
exactly solvable model
An exactly solvable model is a theoretical construct in which all relevant physical quantities (such as energy spectra or correlation functions) can be determined in closed form without approximation.
-
D.
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.
-
E.
quantum phase of matter
A quantum phase of matter is a distinct state of a many-body quantum system characterized by unique patterns of quantum correlations and symmetries that remain stable under small changes in external conditions.
- F. None of above. chosen
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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:27 p.m.