Triple
T4537381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heisenberg model |
E107439
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | theoretical framework in condensed matter physics |
C12955
|
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: theoretical framework in condensed matter physics Context triple: [Heisenberg model, instanceOf, theoretical framework in condensed matter physics]
-
A.
theory in theoretical physics
chosen
A theory in theoretical physics is a mathematically formulated, logically consistent framework that explains and predicts physical phenomena by modeling fundamental entities and their interactions.
-
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.
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.
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.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.