Triple
T22056849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | THEMIS instrument |
E545042
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | thermal imaging system |
C36625
|
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: thermal imaging system Context triple: [THEMIS instrument, instanceOf, thermal imaging system]
-
A.
infrared surveillance system
An infrared surveillance system is a security solution that uses infrared sensors and cameras to detect, monitor, and record heat signatures in low-light or no-light environments for continuous observation and threat detection.
-
B.
infrared instrument
chosen
An infrared instrument is a device designed to detect, measure, or image infrared radiation, typically for applications such as thermal imaging, spectroscopy, remote sensing, or temperature monitoring.
-
C.
infrared detector
An infrared detector is a sensor device that identifies and measures infrared radiation, typically to detect heat sources or enable night vision and thermal imaging applications.
-
D.
descent imaging system
A descent imaging system is a sensor suite and processing unit mounted on a descending vehicle (such as a lander or probe) that captures, analyzes, and transmits images of the surface below in real time to support navigation, hazard detection, and scientific observation during descent.
-
E.
near-infrared camera
A near-infrared camera is a device that captures images using near-infrared wavelengths just beyond visible light, enabling visualization of features not detectable by standard cameras.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
Created at: April 16, 2026, 8:27 p.m.