Triple

T816596
Position Surface form Disambiguated ID Type / Status
Subject Matplotlib E17663 entity
Predicate supportsPlotType P203 FINISHED
Object line plots LITERAL FINISHED

How this triple was built (2 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: line plots | Statement: [Matplotlib, supportsPlotType, line plots]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsPlotType
Context triple: [Matplotlib, supportsPlotType, line plots]
  • A. supportsProjectType
    Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of project.
  • B. supportsMissionType
    Indicates that one entity is capable of handling, enabling, or being compatible with a specified type of mission.
  • C. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • D. supportsProduct
    Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
  • E. supportedParadigm
    Indicates that one entity (such as a tool, language, or system) provides functionality or features that enable or are compatible with a particular paradigm or methodological approach.
  • F. None of above.

Provenance (3 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.
PD Predicate disambiguation batch_69a4aa756920819080ae82948974c876 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.