Triple
T36870538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BPST instanton |
E911211
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | non-perturbative solution |
C19055
|
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: non-perturbative solution Context triple: [BPST instanton, instanceOf, non-perturbative solution]
-
A.
nonperturbative method
A nonperturbative method is a theoretical or computational approach that captures the full behavior of a system without relying on expansions in a small parameter, allowing it to describe strong-coupling or highly nonlinear regimes where perturbation theory fails.
-
B.
nonperturbative effect
chosen
A nonperturbative effect is a physical phenomenon that cannot be captured by any finite-order expansion in a small parameter (such as a coupling constant) and instead arises from intrinsically non-linear or exponentially suppressed contributions, like instantons or tunneling.
-
C.
non-topological soliton
A non-topological soliton is a stable, localized field configuration whose stability arises from conserved charges or dynamical effects rather than from the topology of the underlying field space.
-
D.
nonlocal theory
A nonlocal theory is a conceptual framework in which interactions or correlations between entities are not confined to adjacent points in space-time, allowing influences to occur instantaneously or over finite distances without a mediating local process.
-
E.
fully nonlinear equation
A fully nonlinear equation is a differential equation in which the highest-order derivatives appear in a genuinely nonlinear way, not just linearly or as coefficients of lower-order terms.
- 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_69f76e80f6f0819091cba8e19b269615 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.