Triple
T17233754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Android HAL |
E418309
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hardware abstraction layer |
C23816
|
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: hardware abstraction layer Context triple: [Android HAL, instanceOf, hardware abstraction layer]
-
A.
abstraction layer
chosen
An abstraction layer is a conceptual class that hides the complexity of underlying systems or components by providing a simplified, uniform interface for higher-level operations.
-
B.
embedded software platform
An embedded software platform is an integrated collection of software components, tools, and runtime services that provide a standardized environment for developing, deploying, and managing applications on resource-constrained embedded devices.
-
C.
software compatibility layer
A software compatibility layer is an intermediary system component that enables applications designed for one operating environment, platform, or API to run correctly on another without requiring modification to the original software.
-
D.
computer hardware interface
A computer hardware interface is the physical and logical connection standard that enables communication and data exchange between a computer’s internal components or external devices and the system.
-
E.
embedded system
An embedded system is a specialized computing system that is dedicated to performing specific functions within a larger mechanical or electrical system, often with real-time computing constraints and limited resources.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
Created at: April 10, 2026, 5:39 a.m.