Triple
T2173555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermi liquid theory |
E48476
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | condensed matter physics theory |
C1716
|
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: condensed matter physics theory Context triple: [Fermi liquid theory, instanceOf, condensed matter physics theory]
-
A.
quantum many-body theory
chosen
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.
-
B.
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.
-
C.
many-body quantum system
A many-body quantum system is a collection of a large number of interacting quantum particles whose collective behavior exhibits complex phenomena that cannot be understood by considering the particles individually.
-
D.
quantum statistics
Quantum statistics is the branch of physics and mathematics that studies the statistical behavior of systems of indistinguishable quantum particles, governed by Bose-Einstein or Fermi-Dirac distributions rather than classical Maxwell-Boltzmann statistics.
-
E.
superconductivity phenomenon
Superconductivity phenomenon is the state of certain materials, typically at very low temperatures, in which they conduct electric current with exactly zero resistance and expel magnetic fields (the Meissner effect).
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
Created at: March 4, 2026, 7:45 p.m.