Triple
T4442464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mruby |
E96204
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | programming language interpreter |
C1445
|
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: programming language interpreter Context triple: [mruby, instanceOf, programming language interpreter]
-
A.
interpreter
chosen
An interpreter is a program or component that directly executes instructions written in a programming or scripting language by reading and performing them line by line without first compiling them into machine code.
-
B.
programming language implementation
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.
-
C.
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.
-
D.
programming language
A programming language is a formal system of syntax and semantics that allows humans to write instructions a computer can execute to perform specific tasks or solve problems.
-
E.
programming language specification
A programming language specification is a formal document that precisely defines a language’s syntax, semantics, and behavior to ensure consistent implementation and usage across tools and platforms.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:32 p.m.