Triple

T7985014
Position Surface form Disambiguated ID Type / Status
Subject Azure Machine Learning E185664 entity
Predicate supports P516 FINISHED
Object Jupyter notebooks E97066 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: Jupyter notebooks | Statement: [Azure Machine Learning, supports, Jupyter notebooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jupyter notebooks
Context triple: [Azure Machine Learning, supports, Jupyter notebooks]
  • A. Jupyter Notebook chosen
    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.
  • B. JupyterLab
    JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
  • C. Jupyter Server
    Jupyter Server is the backend application that manages and serves Jupyter notebooks, kernels, and related services for frontends like JupyterLab.
  • D. Project Jupyter
    Project Jupyter is an open-source initiative that develops interactive computing tools and standards, most notably the Jupyter ecosystem for creating and sharing computational notebooks across multiple programming languages.
  • E. IPython
    IPython is an enhanced interactive Python shell and toolkit that provides powerful introspection, rich media, and parallel computing features, and serves as the core interactive engine behind Jupyter.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4a55b881909a96133e56c0dffa completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0e0b2748190930c22c6157d1b07 completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:15 p.m.