Triple
T18426533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XY model |
E450153
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | model in condensed matter physics |
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: model in condensed matter physics Context triple: [XY model, instanceOf, model in condensed matter physics]
-
A.
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.
-
B.
quantum many-body theory
Quantum many-body theory studies systems of a large number of interacting quantum particles, aiming to understand their collective behavior and emergent phenomena using quantum mechanics and statistical methods.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:24 a.m.