Triple
T22447233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parrot virtual machine |
E554891
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | dynamic language runtime |
C5489
|
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: dynamic language runtime Context triple: [Parrot virtual machine, instanceOf, dynamic language runtime]
-
A.
runtime loader
A runtime loader is a system component that dynamically loads, links, and prepares executable code or modules into memory during a program’s execution rather than at compile time.
-
B.
extension language platform
An extension language platform is a system that embeds or hosts a scripting or domain-specific language to allow users to customize, automate, and extend the functionality of an application or environment.
-
C.
programming language implementation
chosen
A programming language implementation is the concrete realization of a language’s specification, including its compiler or interpreter, runtime system, and associated tools that translate and execute programs written in that language.
-
D.
C++ runtime
The C++ runtime is the collection of libraries, startup code, and support routines that provide essential services (such as object initialization, exception handling, and standard library functionality) required for executing compiled C++ programs.
-
E.
interpreted programming language
An interpreted programming language is a type of language whose source code is executed directly by an interpreter program, which reads and performs the instructions line by line without requiring prior compilation to machine code.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:47 p.m.