Triple
T29072325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehrenfest classification of phase transitions |
E735842
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | phase transition classification scheme |
C20518
|
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: phase transition classification scheme Context triple: [Ehrenfest classification of phase transitions, instanceOf, phase transition classification scheme]
-
A.
phase transition
A phase transition is a transformation in a physical system where it changes from one state of matter or organizational phase to another, typically accompanied by abrupt changes in properties like density, magnetization, or conductivity.
-
B.
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.
-
C.
magnetic phase transition point
A magnetic phase transition point is the specific set of conditions (such as temperature, pressure, or magnetic field) at which a material changes between different magnetic states, like from ferromagnetic to paramagnetic.
-
D.
canonical classification
chosen
Canonical classification is a standardized method of organizing entities into universally recognized categories based on their essential, defining characteristics.
-
E.
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.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 28, 2026, 10:20 a.m.