Triple

T7976970
Position Surface form Disambiguated ID Type / Status
Subject Cloud SQL E185470 entity
Predicate integratesWith P1075 FINISHED
Object Compute Engine E185469 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: Compute Engine | Statement: [Cloud SQL, integratesWith, Compute Engine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Compute Engine
Context triple: [Cloud SQL, integratesWith, Compute Engine]
  • A. Google Compute Engine chosen
    Google Compute Engine is Google Cloud’s infrastructure-as-a-service offering that provides scalable, customizable virtual machines for running workloads in the cloud.
  • B. Google Kubernetes Engine
    Google Kubernetes Engine is a managed Kubernetes service that lets users deploy, manage, and scale containerized applications on Google Cloud infrastructure.
  • C. Google Cloud
    Google Cloud is Alphabet Inc.'s cloud computing platform offering infrastructure, platform, and software services for building, deploying, and scaling applications and data solutions.
  • D. Function Compute
    Function Compute is Alibaba Cloud’s serverless computing platform that lets developers run code on demand without managing servers.
  • E. 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.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf716508190b4245bd5d89ae8c4 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc63552ec8190bbcae99d48b5f763 completed April 2, 2026, 1:28 a.m.
Created at: March 30, 2026, 5:14 p.m.