Triple
T4975707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mott insulator |
E111760
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | strongly correlated electron system |
C2811
|
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: strongly correlated electron system Context triple: [Mott insulator, instanceOf, strongly correlated electron system]
-
A.
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.
-
B.
many-body quantum system
chosen
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.
-
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.
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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
Created at: March 20, 2026, 1:33 p.m.