Triple
T30300239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carbon Events |
E770633
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | event-handling subsystem |
C32002
|
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: event-handling subsystem Context triple: [Carbon Events, instanceOf, event-handling subsystem]
-
A.
event-handling framework
chosen
An event-handling framework is a software architecture that manages the registration, dispatch, and processing of events, enabling decoupled components to react to user actions, system changes, or messages in an organized and scalable way.
-
B.
computer graphics event
A computer graphics event is an occurrence or action within a graphical system—such as user input, window changes, or rendering updates—that triggers specific responses or processing in the graphics pipeline.
-
C.
windowing system
A windowing system is a software framework that manages and displays multiple graphical application windows on a screen, handling their placement, appearance, and user interactions.
-
D.
input handling library
A input handling library is a software component that abstracts and manages user or system input events (such as keyboard, mouse, touch, or device signals), providing a consistent and convenient interface for applications to receive, process, and respond to them.
-
E.
windowing system protocol
A windowing system protocol is a set of rules and message formats that coordinate communication between graphical applications and a display server to manage windows, input events, and screen rendering.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:48 p.m.