Triple
T9027932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picture-in-Picture for iPhone |
E216093
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | multitasking feature |
C23821
|
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: multitasking feature Context triple: [Picture-in-Picture for iPhone, instanceOf, multitasking feature]
-
A.
multitasking mode
Multitasking mode is a state or feature that enables a user or system to perform multiple tasks or processes concurrently, managing and switching attention or resources between them efficiently.
-
B.
multitasking operating system
A multitasking operating system is software that manages computer hardware and resources to run multiple processes or applications seemingly simultaneously by rapidly switching the CPU among them and coordinating their execution.
-
C.
mobile operating system feature
chosen
A mobile operating system feature is a built-in software capability or service within a smartphone or tablet OS that enhances device functionality, user interaction, performance, or security.
-
D.
mobile application feature
A mobile application feature is a distinct, user-facing capability or function within a mobile app that enables users to perform specific tasks or achieve particular goals.
-
E.
microprocessor feature
A microprocessor feature is a specific capability or characteristic of a microprocessor—such as instruction sets, cache size, power management, or parallelism—that defines its performance, functionality, and suitability for particular applications.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
Created at: March 30, 2026, 7:07 p.m.