Triple

T7933065
Position Surface form Disambiguated ID Type / Status
Subject Cloud Build E184227 entity
Predicate integratesWith P1075 FINISHED
Object Cloud Logging E184217 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: Cloud Logging | Statement: [Cloud Build, integratesWith, Cloud Logging]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cloud Logging
Context triple: [Cloud Build, integratesWith, Cloud Logging]
  • A. Cloud Logging chosen
    Cloud Logging is Google Cloud’s fully managed service for collecting, storing, and analyzing logs from applications and infrastructure running in the cloud and on-premises.
  • B. Alibaba Cloud Log Service
    Alibaba Cloud Log Service is a fully managed, scalable logging and observability platform for collecting, storing, analyzing, and visualizing log data within the Alibaba Cloud ecosystem.
  • C. Cloud Monitoring
    Cloud Monitoring is a Google Cloud service that collects, visualizes, and alerts on metrics, logs, and uptime data from applications and infrastructure running in the cloud and on-premises.
  • D. Cloud Trace
    Cloud Trace is a Google Cloud service that collects and analyzes latency data from applications to help developers monitor, debug, and optimize performance.
  • E. Cloud Profiler
    Cloud Profiler is a continuous performance profiling tool from Google Cloud that helps developers analyze and optimize the CPU and memory usage of their applications in production.
  • 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_69ccbde69b608190a49d93c04c46787d completed April 1, 2026, 6:40 a.m.
Created at: March 30, 2026, 5:08 p.m.