Triple
T4599932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python scientific stack |
E100298
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | collection of Python libraries |
C11639
|
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: collection of Python libraries Context triple: [Python scientific stack, instanceOf, collection of Python libraries]
-
A.
collection of programming tools
chosen
A collection of programming tools is an organized set of software utilities, libraries, and environments designed to assist developers in writing, testing, debugging, and maintaining code efficiently.
-
B.
machine learning library
A machine learning library is a collection of tools, algorithms, and interfaces that simplifies building, training, evaluating, and deploying machine learning models.
-
C.
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.
-
D.
deep learning library
A deep learning library is a software framework that provides tools, abstractions, and optimized routines to design, train, and deploy neural network models.
-
E.
reinforcement learning library
A reinforcement learning library is a software toolkit that provides algorithms, environments, and utilities to design, train, evaluate, and deploy agents that learn optimal behaviors through trial-and-error interactions with their environment.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
Created at: March 20, 2026, 1:11 p.m.