Triple
T10999263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dextre |
E259963
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Special Purpose Dexterous Manipulator |
C26880
|
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: Special Purpose Dexterous Manipulator Context triple: [Dextre, instanceOf, Special Purpose Dexterous Manipulator]
-
A.
joint planning and execution system
A joint planning and execution system is an integrated framework that enables multiple agents or stakeholders to collaboratively create, coordinate, and carry out shared plans toward common goals in dynamic environments.
-
B.
spacecraft robotic arm
A spacecraft robotic arm is a multi-jointed, computer-controlled manipulator mounted on a spacecraft, used to capture, position, and manipulate objects such as satellites, cargo, or instruments in space.
-
C.
spaceborne robotic arm
chosen
A spaceborne robotic arm is a remotely operated, articulated mechanical manipulator mounted on a spacecraft or space station, designed to capture, position, and service payloads or structures in the space environment.
-
D.
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.
-
E.
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.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:25 p.m.