Triple
T2630558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Migdal approximation |
E59621
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | approximation in electron-phonon theory |
C7233
|
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: approximation in electron-phonon theory Context triple: [Migdal approximation, instanceOf, approximation in electron-phonon theory]
-
A.
spectroscopic approximation
A spectroscopic approximation is a simplified theoretical or computational model used to estimate spectroscopic properties (such as energy levels, transition frequencies, or intensities) by neglecting or approximating certain physical effects to make calculations tractable.
-
B.
approximation
chosen
An approximation is a value, representation, or solution that is close to, but not exactly equal to, a true or ideal quantity, used when exactness is unnecessary or unattainable.
-
C.
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.
-
D.
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.
-
E.
quasiparticle
A quasiparticle is an emergent, particle-like excitation in a many-body system that behaves as if it were an independent particle, simplifying the description of complex interactions.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
Created at: March 6, 2026, 9:50 p.m.