Triple
T17674592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRI (Matz's Ruby Interpreter) |
E440614
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | software 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: software interpreter Context triple: [MRI (Matz's Ruby Interpreter), instanceOf, software 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.
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.
-
C.
instruction set simulator
An instruction set simulator is a software tool that emulates the execution of machine instructions for a specific processor architecture, enabling testing, debugging, and analysis without requiring the actual hardware.
-
D.
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.
-
E.
Java virtual machine
A Java Virtual Machine (JVM) is an abstract computing machine that loads, verifies, and executes Java bytecode, providing platform independence, memory management, and runtime services for Java applications.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
Created at: April 10, 2026, 10 a.m.