Triple

T7939788
Position Surface form Disambiguated ID Type / Status
Subject Istio E184360 entity
Predicate supportsStandard P1587 FINISHED
Object OpenTelemetry E697161 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: OpenTelemetry | Statement: [Istio, supportsStandard, OpenTelemetry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenTelemetry
Context triple: [Istio, supportsStandard, OpenTelemetry]
  • A. OpenTelemetry chosen
    OpenTelemetry is an open-source observability framework that provides standardized APIs, SDKs, and tools for collecting and exporting telemetry data such as traces, metrics, and logs from applications and services.
  • B. 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.
  • C. 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.
  • D. 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.
  • 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_69cb3b0983388190a77e8d5d899c5130 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc564a4fac8190972f9dfa7c026ea8 completed March 31, 2026, 11:18 p.m.
Created at: March 30, 2026, 5:08 p.m.