Triple
T4683251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JupyterLab |
E103854
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Jupyter ecosystem project |
C16180
|
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: Jupyter ecosystem project Context triple: [JupyterLab, instanceOf, Jupyter ecosystem project]
-
A.
PyTorch ecosystem project
A PyTorch ecosystem project is a library, tool, or framework that extends or integrates with PyTorch to support tasks such as model development, training, deployment, or domain-specific applications.
-
B.
Julia library
A Julia library is a reusable collection of Julia modules, functions, and types that extends the language’s capabilities for specific tasks or domains.
-
C.
GPU-accelerated array library
A GPU-accelerated array library is a software toolkit that provides high-level, NumPy-like array operations executed on graphics processing units to enable massively parallel, high-performance numerical computing.
-
D.
interactive plotting backend
An interactive plotting backend is a software component that connects a plotting library to a graphical user interface or environment, enabling dynamic visualization features such as zooming, panning, and real-time updates.
-
E.
Wikimedia project
A Wikimedia project is a collaborative, wiki-based initiative hosted by the Wikimedia Foundation that focuses on creating, curating, or providing free knowledge and educational content in a specific domain or format.
- F. None of above. chosen
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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
Created at: March 20, 2026, 1:16 p.m.