Triple
T19830897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solar Wind Electron Analyzer |
E476457
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | particle analyzer |
C2616
|
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: particle analyzer Context triple: [Solar Wind Electron Analyzer, instanceOf, particle analyzer]
-
A.
particle detector
chosen
A particle detector is a device or system that identifies, tracks, and measures properties of subatomic particles produced in physical processes or experiments.
-
B.
Raman spectrometer
A Raman spectrometer is an analytical instrument that uses monochromatic light to measure inelastically scattered photons from a sample, providing molecular vibrational information for chemical identification and characterization.
-
C.
neutral atom analyzer
A neutral atom analyzer is a device that detects and characterizes neutral atoms—typically by converting them to charged particles—to measure their energy, mass, and directional properties in a physical or space environment.
-
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.
fluorescence spectrometer
A fluorescence spectrometer is an analytical instrument that measures the intensity and wavelength distribution of fluorescent light emitted by a sample after excitation with a specific light source, enabling qualitative and quantitative analysis of molecular species.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
Created at: April 10, 2026, 1:50 p.m.