Triple
T19652931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pais–Uhlenbeck oscillator |
E471861
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | toy model in quantum field theory |
C14276
|
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: toy model in quantum field theory Context triple: [Pais–Uhlenbeck oscillator, instanceOf, toy model in quantum field theory]
-
A.
toy model
chosen
A toy model is a simplified, often idealized representation of a complex system used to illustrate key concepts, test ideas, or gain intuitive understanding without capturing all real-world details.
-
B.
regularization scheme in quantum field theory
A regularization scheme in quantum field theory is a systematic procedure for modifying divergent integrals or sums—typically by introducing an auxiliary parameter or cutoff—so that they become finite and mathematically well-defined while preserving as much of the theory’s symmetry and structure as possible.
-
C.
theory in field theory
A theory in field theory is a specific, mathematically formulated model that assigns fields and their dynamics to spacetime, defining how physical quantities evolve and interact according to a chosen set of principles and equations.
-
D.
particle physics model
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.
-
E.
propagator in quantum field theory
A propagator in quantum field theory is a Green’s function that encodes the amplitude for a particle or field excitation to travel from one spacetime point to another, incorporating both dynamics and quantum fluctuations.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
Created at: April 10, 2026, 1:44 p.m.