Triple
T25859396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPTpol camera |
E651440
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | polarization-sensitive receiver |
C39873
|
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: polarization-sensitive receiver Context triple: [SPTpol camera, instanceOf, polarization-sensitive receiver]
-
A.
polarization formalism
Polarization formalism is a theoretical framework that mathematically represents and analyzes the polarization state of waves (such as light) and their transformations through optical systems.
-
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.
heterodyne receiver
A heterodyne receiver is a radio receiver that converts an incoming signal to an intermediate frequency by mixing it with a locally generated oscillator signal to enable easier and more selective amplification and filtering.
-
D.
high-resolution optical spectropolarimeter
chosen
A high-resolution optical spectropolarimeter is an instrument that disperses light into its spectrum and precisely measures its polarization state across wavelength to study detailed physical properties of astronomical or laboratory sources.
-
E.
multispectral targeting system
A multispectral targeting system is an integrated sensor and processing suite that detects, tracks, and designates targets across multiple parts of the electromagnetic spectrum (e.g., visible, infrared, and radar) to enhance accuracy and situational awareness.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 22, 2026, 8:04 a.m.