Triple
T575476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Android Runtime |
E13752
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | virtual machine implementation |
C2722
|
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: virtual machine implementation Context triple: [Android Runtime, instanceOf, virtual machine implementation]
-
A.
virtual institute
A virtual institute is an organized, often distributed, online entity that coordinates people, resources, and activities to pursue shared educational, research, or professional goals without a centralized physical location.
-
B.
managed execution environment
chosen
A managed execution environment is a runtime system that controls program execution by providing services like memory management, security, and exception handling, abstracting low-level hardware and OS details from the application.
-
C.
reference implementation
A reference implementation is a canonical, typically straightforward version of a system or specification created to demonstrate correct behavior and serve as a standard for other implementations.
-
D.
research simulator
A research simulator is a virtual environment or tool that models real-world research processes, allowing users to design, conduct, and analyze simulated studies for learning, experimentation, or decision-making.
-
E.
Unix-like kernel
A Unix-like kernel is the core component of an operating system that manages hardware resources, provides essential system services, and offers a Unix-style interface and abstractions to user-space programs.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
Created at: March 1, 2026, 7:33 p.m.