Triple

T7932554
Position Surface form Disambiguated ID Type / Status
Subject Cloud Logging E184217 entity
Predicate integratesWith P1075 FINISHED
Object Cloud Trace E697145 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 Trace | Statement: [Cloud Logging, integratesWith, Cloud Trace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cloud Trace
Context triple: [Cloud Logging, integratesWith, Cloud Trace]
  • A. Cloud Trace chosen
    Cloud Trace is a Google Cloud service that collects and analyzes latency data from applications to help developers monitor, debug, and optimize performance.
  • B. 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.
  • C. AWS X-Ray
    AWS X-Ray is an AWS service that helps developers analyze and debug distributed applications by tracing requests as they travel through various microservices and resources.
  • D. Cloud Logging
    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.
  • E. OpenTracing
    OpenTracing is a vendor-neutral, open standard API for distributed tracing that enables developers to instrument and monitor microservices-based applications consistently across different tracing backends.
  • 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_69cb3ace87f081908635769942645e78 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe011ccec8190ab60d18b761666af completed March 31, 2026, 2:54 p.m.
Created at: March 30, 2026, 5:08 p.m.