Triple
T7570463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayleigh scattering |
E179225
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | light scattering mechanism |
C18923
|
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: light scattering mechanism Context triple: [Rayleigh scattering, instanceOf, light scattering mechanism]
-
A.
inelastic light scattering process
chosen
An inelastic light scattering process is an interaction in which incident photons exchange energy with a material’s excitations (such as phonons or magnons), resulting in scattered photons with shifted frequencies that reveal information about the material’s internal structure and dynamics.
-
B.
scattering cross section
The scattering cross section is a measure of the effective area that quantifies the likelihood of a particle or wave being scattered by a target in a given interaction.
-
C.
photon correlation effect
Photon correlation effect is the phenomenon where statistical correlations between detected photons reveal underlying properties of a light source, such as coherence, quantum statistics, and emission dynamics.
-
D.
scattering matrix
A scattering matrix is a mathematical construct that relates the amplitudes of incoming waves or particles to those of outgoing ones in a physical system, encapsulating how the system scatters or transforms incident signals.
-
E.
diffraction pattern feature
A diffraction pattern feature is a distinct intensity variation or structural element within a diffraction pattern that reflects specific spatial arrangements, periodicities, or defects in the scattering object.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 3:51 p.m.