Triple
T7984901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Data Lake Storage |
E185662
|
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 Data Lake Storage, integratesWith, Azure Event Hubs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azure Event Hubs Context triple: [Azure Data Lake Storage, 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 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.
-
C.
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.
-
D.
Amazon EventBridge
Amazon EventBridge is a serverless event bus service from AWS that enables applications to connect using events from AWS services, integrated SaaS applications, and custom sources for event-driven architectures.
-
E.
Amazon Kinesis
Amazon Kinesis is a fully managed AWS service for real-time collection, processing, and analysis of streaming data at scale.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4a55b881909a96133e56c0dffa |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0e0b2748190930c22c6157d1b07 |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:15 p.m.