Triple

T816607
Position Surface form Disambiguated ID Type / Status
Subject Matplotlib E17663 entity
Predicate hasModule P12988 FINISHED
Object matplotlib.pyplot 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.pyplot | Statement: [Matplotlib, hasModule, matplotlib.pyplot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: matplotlib.pyplot
Context triple: [Matplotlib, hasModule, matplotlib.pyplot]
  • 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. Plotly
    Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
  • D. TkAgg
    TkAgg is a Matplotlib backend that renders plots using the Agg engine and displays them in GUI windows via the Tkinter toolkit.
  • E. Qt5Agg
    Qt5Agg is a Matplotlib rendering backend that combines the Qt5 GUI framework with the Anti-Grain Geometry (Agg) engine to display high-quality interactive plots.
  • 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: hasModule
Context triple: [Matplotlib, hasModule, matplotlib.pyplot]
  • A. hasModuleConstruct chosen
    Indicates that an entity includes, defines, or is composed of a specific module as one of its structural or functional components.
  • B. hasFeature
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • C. includesModuleProvider
    Indicates that one entity contains or makes use of another entity that serves as a provider of a specific module or modular functionality.
  • D. hasSupported
    Indicates that one entity has provided assistance, endorsement, or backing to another entity, either materially, emotionally, or through advocacy.
  • E. hasApp
    Indicates that an entity possesses, provides, or is associated with a particular application.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab621d2c819083f10bff4f66c482 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b47ba481908a8db2bec414a3e4 completed March 4, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a4aa756920819080ae82948974c876 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.