Triple

T7933160
Position Surface form Disambiguated ID Type / Status
Subject Cloud Deploy E184229 entity
Predicate fullName P16 FINISHED
Object Google Cloud Deploy E184229 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: Google Cloud Deploy | Statement: [Cloud Deploy, fullName, Google Cloud Deploy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Cloud Deploy
Context triple: [Cloud Deploy, fullName, Google Cloud Deploy]
  • A. Cloud Deploy chosen
    Cloud Deploy is Google Cloud’s managed continuous delivery service for automating and managing application releases to various deployment targets such as Kubernetes clusters.
  • B. 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.
  • C. Google Kubernetes Engine
    Google Kubernetes Engine is a managed Kubernetes service that lets users deploy, manage, and scale containerized applications on Google Cloud infrastructure.
  • D. Cloud Run
    Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
  • E. AWS CodeDeploy
    AWS CodeDeploy is a fully managed deployment service that automates application deployments to compute services such as Amazon EC2, AWS Lambda, and on-premises servers.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3acfd2a88190b1a13cd6fdedc272 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c041e588190bfbf251ed88d5bcd completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:08 p.m.