Triple
T12280761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLIR |
E292711
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | intermediate representation framework |
C26312
|
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: intermediate representation framework Context triple: [MLIR, instanceOf, intermediate representation framework]
-
A.
intermediate language
chosen
An intermediate language is a machine-independent, low-level representation of a program used as a bridge between high-level source code and machine code to facilitate optimization, portability, and analysis in compilers and related tools.
-
B.
binary translation technology
Binary translation technology is a system that dynamically or statically converts compiled machine code from one instruction set architecture to another so that software can run unmodified on different hardware platforms.
-
C.
interpreter
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.
-
D.
internationalization framework
An internationalization framework is a software infrastructure that enables applications to support multiple languages, regional formats, and cultural conventions through localization-ready components and resource management.
-
E.
multimedia framework
A multimedia framework is a software infrastructure that provides tools, libraries, and services for processing, managing, and synchronizing various media types such as audio, video, images, and interactive content.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:52 p.m.