Triple

T7985038
Position Surface form Disambiguated ID Type / Status
Subject Azure Machine Learning E185664 entity
Predicate integratesWith P1075 FINISHED
Object GitHub E5697 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: GitHub | Statement: [Azure Machine Learning, integratesWith, GitHub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GitHub
Context triple: [Azure Machine Learning, integratesWith, GitHub]
  • A. GitHub chosen
    GitHub is a widely used web-based platform for version control and collaborative software development, built around the Git system and popular among open-source and enterprise projects.
  • B. GitLab
    GitLab is a web-based DevOps platform that provides Git repository hosting along with integrated tools for source code management, CI/CD, and project collaboration.
  • C. Bitbucket
    Bitbucket is a web-based platform for hosting Git repositories that provides source code management, collaboration tools, and integration with development workflows.
  • D. Git
    Git is a widely used distributed version control system designed to efficiently track changes in source code and support collaborative software development.
  • E. GitHub Copilot
    GitHub Copilot is an AI-powered code completion and pair-programming tool that suggests code and entire functions directly within developers’ editors.
  • 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_69cbdf3828fc81908a118420a6b0a736 completed March 31, 2026, 2:50 p.m.
Created at: March 30, 2026, 5:15 p.m.