Triple
T4275925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IronPython |
E97047
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | .NET implementation of Python |
C8315
|
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: .NET implementation of Python Context triple: [IronPython, instanceOf, .NET implementation of Python]
-
A.
Python implementation
A Python implementation is a concrete realization of a program, algorithm, or system written in the Python programming language, following its syntax, semantics, and standard libraries to achieve specified functionality.
-
B.
.NET development platform component
chosen
A .NET development platform component is a modular building block—such as a library, runtime, or tooling element—that integrates into the .NET ecosystem to provide specific functionality for building, running, or managing .NET applications.
-
C.
.NET GUI framework
A .NET GUI framework is a collection of libraries and tools that enable developers to build, render, and manage interactive graphical user interfaces for desktop or cross-platform applications within the .NET ecosystem.
-
D.
Python Enhancement Proposal
A Python Enhancement Proposal (PEP) is a design document that provides information to the Python community or describes a new feature for Python, outlining its rationale, technical specification, and implementation details.
-
E.
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.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:07 p.m.