Triple

T18828850
Position Surface form Disambiguated ID Type / Status
Subject Jupyter Server E460468 entity
Predicate supportsFrontend P41811 FINISHED
Object JupyterLab NE NERFINISHED

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: JupyterLab | Statement: [Jupyter Server, supportsFrontend, JupyterLab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JupyterLab
Context triple: [Jupyter Server, supportsFrontend, JupyterLab]
  • A. JupyterLab chosen
    JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
  • B. Jupyter
    Jupyter is an open-source project that provides interactive computing tools, most notably Jupyter Notebooks, for data science, scientific computing, and education across multiple programming languages.
  • C. 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.
  • D. JupyterLite
    JupyterLite is a lightweight, browser-based distribution of Jupyter that runs entirely in the web using WebAssembly and in-browser storage, enabling notebooks without a traditional server or local installation.
  • E. Jupyter Server
    Jupyter Server is the backend application that manages and serves Jupyter notebooks, kernels, and related services for frontends like JupyterLab.
  • 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: supportsFrontend
Context triple: [Jupyter Server, supportsFrontend, JupyterLab]
  • A. hasFrontend chosen
    Indicates that one entity serves as the user-facing interface or presentation layer for another entity.
  • B. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • C. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • D. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
  • E. supportsAt
    Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99554848190933dd2810f5c810f completed April 20, 2026, 4:20 a.m.
PD Predicate disambiguation batch_69e48d1b10ec8190985c6fb5766ff981 completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:56 a.m.