Triple
T4599965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python scientific stack |
E100298
|
entity |
| Predicate | coreVisualizationLibrary |
P7266
|
FINISHED |
| Object | Matplotlib |
E17663
|
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: Matplotlib | Statement: [Python scientific stack, coreVisualizationLibrary, Matplotlib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matplotlib Context triple: [Python scientific stack, coreVisualizationLibrary, Matplotlib]
-
A.
Matplotlib
chosen
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
B.
Seaborn
Seaborn is a Python data visualization library built on top of Matplotlib that provides a high-level interface for creating attractive and informative statistical graphics.
-
C.
Seaborn
Seaborn is a masculine given name of English origin, historically used in colonial America and associated with individuals such as Seaborn Cotton.
-
D.
Mayavi
Mayavi is a 3D scientific data visualization library for Python, widely used for interactive plotting and analysis of complex numerical data.
-
E.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
- 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: coreVisualizationLibrary Context triple: [Python scientific stack, coreVisualizationLibrary, Matplotlib]
-
A.
visualizationLibrary
chosen
Indicates that an entity uses, depends on, or is implemented with a particular visualization library for rendering or displaying visual data.
-
B.
visualElements
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
C.
graphics
Indicates a relationship where one entity is responsible for creating, providing, or handling visual representations or graphical content for another entity or context.
-
D.
chartDepiction
Indicates that one entity is a chart that visually represents or depicts information about another entity.
-
E.
coreShape
Indicates that one entity serves as the primary or central shape or geometric form of another entity.
- 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.