Triple

T9899387
Position Surface form Disambiguated ID Type / Status
Subject Azure Monitor E182246 entity
Predicate hasComponent P35 FINISHED
Object Azure Monitor Dashboards E182246 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: Azure Monitor Dashboards | Statement: [Azure Monitor, hasComponent, Azure Monitor Dashboards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azure Monitor Dashboards
Context triple: [Azure Monitor, hasComponent, Azure Monitor Dashboards]
  • A. Azure Monitor chosen
    Azure Monitor is a cloud-based observability service that collects, analyzes, and acts on telemetry data from applications and infrastructure running in Azure and other environments.
  • B. Grafana
    Grafana is an open-source analytics and visualization platform used to create interactive dashboards and monitor metrics from various data sources.
  • C. Azure portal
    Azure portal is Microsoft's unified, web-based management interface for configuring, monitoring, and administering Azure cloud services and resources.
  • D. VividCortex
    VividCortex is a database performance monitoring and analytics platform designed to help teams optimize and troubleshoot production database workloads in real time.
  • E. Power BI Embedded
    Power BI Embedded is a Microsoft Azure service that lets developers integrate interactive Power BI reports and dashboards into their own applications.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4adc03481909e0f657db01e5bab completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb1b9534819093c5150f1ed8f685 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.