Triple
T16432092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perseverance sample caching system |
E399092
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | robotic sampling system |
C37450
|
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: robotic sampling system Context triple: [Perseverance sample caching system, instanceOf, robotic sampling system]
-
A.
robot control system
A robot control system is a coordinated set of hardware and software components that interpret sensor data, execute decision-making algorithms, and generate actuator commands to direct a robot’s behavior in real time.
-
B.
robot
A robot is an autonomous or semi-autonomous machine capable of sensing its environment, processing information, and performing physical or virtual tasks, often programmable to adapt to different functions.
-
C.
remotely operated vehicle
A remotely operated vehicle is an unmanned, tethered or wirelessly controlled machine used to perform tasks or gather data in environments that are hazardous, inaccessible, or impractical for direct human presence.
-
D.
robotics research platform
A robotics research platform is a configurable hardware and software system designed to develop, test, and evaluate robotic algorithms, sensors, and control strategies in controlled and repeatable environments.
-
E.
robotics program
A robotics program is a structured course or initiative that teaches the design, construction, and programming of robots to solve real-world problems or complete specific tasks.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 10, 2026, 5:10 a.m.