Triple

T9899322
Position Surface form Disambiguated ID Type / Status
Subject Azure IoT Hub E182245 entity
Predicate integratesWith P1075 FINISHED
Object Azure Event Hubs E185666 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 Event Hubs | Statement: [Azure IoT Hub, integratesWith, Azure Event Hubs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azure Event Hubs
Context triple: [Azure IoT Hub, integratesWith, Azure Event Hubs]
  • A. Azure Event Hubs chosen
    Azure Event Hubs is a fully managed, real-time data ingestion and streaming platform on Microsoft Azure designed to handle millions of events per second for analytics and processing.
  • B. Azure Event Grid
    Azure Event Grid is a fully managed event routing service in Microsoft Azure that enables reliable, scalable, and reactive event-driven architectures by connecting event sources to event handlers.
  • C. Azure Service Bus
    Azure Service Bus is a fully managed enterprise message broker on Microsoft Azure that enables reliable, asynchronous communication between distributed applications and services.
  • D. Azure IoT Hub
    Azure IoT Hub is a managed cloud service for securely connecting, monitoring, and controlling large fleets of Internet of Things (IoT) devices at scale.
  • E. Azure Stream Analytics
    Azure Stream Analytics is a real-time analytics and complex event processing service in Microsoft Azure that ingests and analyzes streaming data from various sources to generate timely insights and actions.
  • 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_69d2289a547481909997f8f2dcb5e84c completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:40 p.m.