Triple
T26244302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talbot effect |
E656399
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | near-field diffraction effect |
C19514
|
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: near-field diffraction effect Context triple: [Talbot effect, instanceOf, near-field diffraction effect]
-
A.
diffraction pattern feature
chosen
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.
-
B.
diffractive optical element
A diffractive optical element is a micro-structured optical component that manipulates light through diffraction to achieve functions such as beam shaping, splitting, or focusing.
-
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.
diffraction analysis method
A diffraction analysis method is a technique that interprets the pattern and intensity of waves scattered by a material to determine its structural, compositional, or physical properties.
-
E.
wave localization phenomenon
The wave localization phenomenon is the confinement of waves (such as light, sound, or quantum particles) to a limited region of space due to interference from disorder or structural irregularities, preventing their normal propagation.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
Created at: April 26, 2026, 9:04 p.m.