Triple
T38638041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Docker CLI plugin |
E937612
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | command-line interface plugin |
C19498
|
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: command-line interface plugin Context triple: [Docker CLI plugin, instanceOf, command-line interface plugin]
-
A.
command-line interface
chosen
A command-line interface is a text-based user interface that allows users to interact with a computer system by typing commands and receiving textual output.
-
B.
command-line shell
A command-line shell is a text-based interface that interprets and executes user-entered commands to interact with an operating system and run programs.
-
C.
media-independent command interface
A media-independent command interface is a standardized abstraction layer that allows higher-level software to issue uniform control and configuration commands to diverse underlying media or communication technologies without depending on their specific implementations.
-
D.
command-line editing library
A command-line editing library provides interactive line-editing capabilities—such as cursor movement, history navigation, and text manipulation—for text-based user input in terminal applications.
-
E.
command-line argument parsing library
A command-line argument parsing library is a software component that interprets and validates command-line inputs, mapping them to structured options, flags, and parameters for use within an application.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.