Triple
T33511697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomonaga model |
E858265
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | one-dimensional electron system model |
C41243
|
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: one-dimensional electron system model Context triple: [Tomonaga model, instanceOf, one-dimensional electron system model]
-
A.
one-electron Hamiltonian
A one-electron Hamiltonian is an operator that describes the energy and dynamics of a single electron in an external potential, typically including its kinetic energy and interaction with nuclei or applied fields.
-
B.
model in solid-state physics
chosen
A model in solid-state physics is a theoretical framework or simplified representation used to describe, predict, and understand the behavior of electrons, atoms, and quasiparticles in crystalline and condensed matter systems.
-
C.
exactly solvable model
An exactly solvable model is a theoretical construct in which all relevant physical quantities (such as energy spectra or correlation functions) can be determined in closed form without approximation.
-
D.
electronic conduction mechanism
An electronic conduction mechanism is the process by which electrons move through a material or device under an applied electric field, enabling the transport of electric charge.
-
E.
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.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:38 a.m.