Triple
T8325583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nambu–Jona-Lasinio model |
E194943
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | quantum field theory model |
C18768
|
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: quantum field theory model Context triple: [Nambu–Jona-Lasinio model, instanceOf, quantum field theory model]
-
A.
particle physics model
chosen
A particle physics model is a theoretical framework that describes the fundamental particles and their interactions, aiming to explain and predict phenomena at the smallest scales of matter and energy.
-
B.
problem in field theory
A problem in field theory is a conceptual or computational question involving the properties, structures, and interactions of fields—such as scalar, vector, or gauge fields—typically formulated within the framework of classical or quantum field theory.
-
C.
fermionic field
A fermionic field is a quantum field whose excitations correspond to particles with half-integer spin that obey Fermi–Dirac statistics and the Pauli exclusion principle.
-
D.
relativistic quantum field theory Lagrangian
A relativistic quantum field theory Lagrangian is a function of fields and their spacetime derivatives that encodes the dynamics, symmetries, and interactions of quantum fields in a Lorentz-invariant way.
-
E.
gravitational field model
A gravitational field model is a conceptual representation that describes how mass generates a field influencing the motion and interaction of other masses through gravitational forces in space and time.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
Created at: March 30, 2026, 5:56 p.m.