Triple
T4599964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python scientific stack |
E100298
|
entity |
| Predicate | coreArrayLibrary |
P3294
|
FINISHED |
| Object | NumPy |
E17659
|
NE FINISHED |
How this triple was built (3 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NumPy | Statement: [Python scientific stack, coreArrayLibrary, NumPy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NumPy Context triple: [Python scientific stack, coreArrayLibrary, NumPy]
-
A.
NumPy
chosen
NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
-
B.
SciPy
SciPy is an open-source Python library that provides advanced scientific and technical computing tools, including modules for optimization, integration, statistics, signal processing, and linear algebra.
-
C.
NumPy Developers
NumPy Developers are the community of programmers and contributors who maintain and advance NumPy, the core Python library for numerical computing and array-based scientific analysis.
-
D.
CuPy
CuPy is an open-source array library for Python that accelerates numerical computing by providing a NumPy-compatible interface backed by GPU execution.
-
E.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreArrayLibrary Context triple: [Python scientific stack, coreArrayLibrary, NumPy]
-
A.
coreModule
Indicates that something functions as a primary or foundational module within a larger system or structure.
-
B.
coreStandard
Indicates that something conforms to, is defined by, or is governed by a central or foundational standard or specification.
-
C.
coreHolding
Indicates a primary or central ownership relationship where one entity holds a significant, foundational stake or position in another.
-
D.
isMainLibraryOf
chosen
Indicates that a library serves as the primary or central library for a given organization, system, or collection.
-
E.
coreInstrument
Indicates that an instrument plays a central or primary role in performing an action or achieving an outcome.
- F. None of above.
Provenance (4 batches)
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. |
| NER | Named-entity recognition | batch_69bd5971f448819090f6e76c7d3ffc2d |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0349e89c8190a94e72bdc1e4e59f |
completed | March 21, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.