Triple

T17520294
Position Surface form Disambiguated ID Type / Status
Subject Project Jupyter E426663 entity
Predicate inspired P9 FINISHED
Object Azure Notebooks
Azure Notebooks is a Microsoft cloud-based service for creating, running, and sharing Jupyter notebooks without requiring local installation.
E1274332 NE FINISHED

How this triple was built (4 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.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Azure Notebooks
Triple: [Project Jupyter, inspired, Azure Notebooks]
Generated description
Azure Notebooks is a Microsoft cloud-based service for creating, running, and sharing Jupyter notebooks without requiring local installation.
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 (5 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.
NED1 Entity disambiguation (via context triple) batch_6a01c94237d08190bb1f874735c87803 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cabea2b48190a690b17a88d45b40 completed May 11, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a01cefa08f8819086cb86ce22193baa completed May 11, 2026, 12:43 p.m.
Created at: April 10, 2026, 5:49 a.m.