Triple
T1286174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huang–Rhys factor |
E27438
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | spectroscopic parameter |
C6924
|
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: spectroscopic parameter Context triple: [Huang–Rhys factor, instanceOf, spectroscopic parameter]
-
A.
astronomical spectrograph
An astronomical spectrograph is an instrument that disperses light from celestial objects into its component wavelengths to measure their physical properties, such as composition, temperature, velocity, and redshift.
-
B.
optical echellette spectrograph
An optical echellette spectrograph is a medium- to high-resolution astronomical instrument that disperses incoming light into a cross-dispersed spectrum using an echelle grating operated at relatively low orders, enabling broad wavelength coverage in a compact format.
-
C.
near-infrared spectrograph
A near-infrared spectrograph is an instrument that disperses and measures light in the near-infrared wavelength range to analyze the composition, temperature, and other properties of astronomical or laboratory targets.
-
D.
infrared spectrograph
An infrared spectrograph is an instrument that disperses and records infrared light from a source to measure its intensity as a function of wavelength, enabling analysis of its physical and chemical properties.
-
E.
medium-resolution spectrograph
A medium-resolution spectrograph is an instrument that disperses incoming light into its component wavelengths with moderate spectral detail, enabling the study of broad spectral features and radial velocities without resolving the finest line structures.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
Created at: March 1, 2026, 7:51 p.m.