Triple

T17520294
Position Surface form Disambiguated ID Type / Status
Subject Project Jupyter E426663 entity
Predicate inspired P9 FINISHED
Object Azure Notebooks — 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: Azure Notebooks | Statement: [Project Jupyter, inspired, Azure Notebooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Azure Notebooks
Context triple: [Project Jupyter, inspired, Azure Notebooks]
  • A. Azure Cloud Shell
    Azure Cloud Shell is a browser-based, authenticated shell environment in the Azure portal that lets users manage Azure resources using tools like PowerShell and Bash without local installation.
  • B. Datalore
    Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
  • C. Databricks
    Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
  • D. 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.
  • E. SageMaker Studio
    SageMaker Studio is Amazon SageMaker’s web-based integrated development environment (IDE) for building, training, and deploying machine learning models at scale.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Azure Notebooks
Target entity description: Azure Notebooks is a Microsoft cloud-based service for creating, running, and sharing Jupyter notebooks without requiring local installation.
  • A. Azure Cloud Shell
    Azure Cloud Shell is a browser-based, authenticated shell environment in the Azure portal that lets users manage Azure resources using tools like PowerShell and Bash without local installation.
  • B. Datalore
    Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
  • C. Databricks
    Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
  • D. 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.
  • E. SageMaker Studio
    SageMaker Studio is Amazon SageMaker’s web-based integrated development environment (IDE) for building, training, and deploying machine learning models at scale.
  • F. None of above. chosen

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d23cf08190925510344fa36f57 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.