Triple
T26508231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cisco TelePresence TX9000 Series |
E669609
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | telepresence system |
C48762
|
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: telepresence system Context triple: [Cisco TelePresence TX9000 Series, instanceOf, telepresence system]
-
A.
telepresence robotics initiative
A telepresence robotics initiative is a coordinated effort to design, develop, and deploy remotely operated robotic systems that enable people to virtually attend, interact, and perform tasks in distant or inaccessible environments.
-
B.
video conferencing platform
A video conferencing platform is a digital service that enables real-time audio, video, and content sharing between multiple participants over the internet for meetings, collaboration, and communication.
-
C.
video calling device
chosen
A video calling device is a hardware system that enables real-time audio-visual communication between users over a network, typically featuring a display, camera, microphone, speakers, and connectivity components.
-
D.
web conferencing client
A web conferencing client is an application that enables users to participate in online meetings by transmitting and receiving audio, video, screen shares, and messages over the internet.
-
E.
graphical desktop-sharing system
A graphical desktop-sharing system is a software framework that captures, transmits, and displays a computer’s graphical user interface over a network, enabling remote users to view and interact with the desktop in real time.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
Created at: April 27, 2026, 1:18 a.m.