Triple
T1018822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feynman path integral |
E21993
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | formulation of quantum mechanics |
C5731
|
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: formulation of quantum mechanics Context triple: [Feynman path integral, instanceOf, formulation of quantum mechanics]
-
A.
classical mechanics
Classical mechanics is the branch of physics that describes the motion of macroscopic objects under the influence of forces using laws such as Newton’s laws of motion and conservation principles.
-
B.
molecular quantum mechanics method
A molecular quantum mechanics method is a theoretical and computational approach that applies quantum mechanical principles to describe and predict the electronic structure, properties, and behavior of molecules.
-
C.
quantum statistics
Quantum statistics is the branch of physics and mathematics that studies the statistical behavior of systems of indistinguishable quantum particles, governed by Bose-Einstein or Fermi-Dirac distributions rather than classical Maxwell-Boltzmann statistics.
-
D.
result in quantum electrodynamics
A result in quantum electrodynamics is a theoretically derived or experimentally confirmed prediction about how charged particles and electromagnetic fields interact, typically expressed through precise calculations of observable quantities such as scattering amplitudes, cross sections, or radiative corrections.
-
E.
equation in statistical physics
An equation in statistical physics is a mathematical relation that connects microscopic properties of particles and their interactions to macroscopic thermodynamic quantities, enabling the prediction of a system’s collective behavior.
- F. None of above. chosen
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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
Created at: March 1, 2026, 7:41 p.m.