Triple

T7985039
Position Surface form Disambiguated ID Type / Status
Subject Azure Machine Learning E185664 entity
Predicate integratesWith P1075 FINISHED
Object Azure DevOps E182243 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: Azure DevOps | Statement: [Azure Machine Learning, integratesWith, Azure DevOps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azure DevOps
Context triple: [Azure Machine Learning, integratesWith, Azure DevOps]
  • A. Azure DevOps chosen
    Azure DevOps is Microsoft's cloud-based suite of development tools and services for planning, building, testing, and delivering software collaboratively.
  • B. CircleCI
    CircleCI is a cloud-based continuous integration and delivery platform that automates building, testing, and deploying software.
  • C. AWS CodePipeline
    AWS CodePipeline is a fully managed continuous integration and continuous delivery (CI/CD) service that automates the build, test, and deployment phases of application release workflows.
  • D. Cloud Build
    Cloud Build is Google Cloud’s fully managed continuous integration and delivery (CI/CD) service for building, testing, and deploying applications at scale.
  • E. DevOps
    DevOps is a collaborative software development and IT operations approach that emphasizes automation, continuous integration and delivery, and rapid, reliable deployment of applications.
  • 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.