Triple
T33434415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pointer Events |
E856208
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | DOM event model |
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: DOM event model Context triple: [Pointer Events, instanceOf, DOM event model]
-
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.
browser API
A browser API is a set of standardized interfaces provided by a web browser that allow web pages and applications to interact with browser features, the underlying device, and external resources in a controlled way.
-
D.
data model
A data model is an abstract, structured representation of data and its relationships, designed to organize, define, and constrain how information is stored, accessed, and manipulated within a system.
-
E.
directive-based programming model
A directive-based programming model is a high-level parallel programming approach where developers annotate code with compiler-interpreted directives (pragmas) to express parallelism and data movement without explicitly managing low-level threading or synchronization details.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:36 a.m.