Triple

T816683
Position Surface form Disambiguated ID Type / Status
Subject Plotly E17664 entity
Predicate integratesWith P1075 FINISHED
Object JupyterLab E103854 NE 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: JupyterLab | Statement: [Plotly, integratesWith, JupyterLab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JupyterLab
Context triple: [Plotly, integratesWith, JupyterLab]
  • A. JupyterLab chosen
    JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
  • B. Jupyter Notebook
    Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
  • C. Visual Studio Code
    Visual Studio Code is a popular, lightweight, cross-platform source-code editor from Microsoft that supports extensive extensions and debugging features for many programming languages.
  • D. RStudio
    RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
  • E. thebe
    The thebe is the fractional monetary unit of Botswana, representing one-hundredth of a Botswana pula.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.
NED1 Entity disambiguation (via context triple) batch_69a7c7103a00819087ad711a2ab99770 completed March 4, 2026, 5:45 a.m.
Created at: March 1, 2026, 7:38 p.m.