Triple
T9899327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure IoT Hub |
E182245
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object |
Azure Time Series Insights
Azure Time Series Insights is a fully managed analytics, storage, and visualization service for exploring and analyzing time-series data from IoT and other event streams in real time.
|
E828321
|
NE FINISHED |
How this triple was built (4 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 Time Series Insights | Statement: [Azure IoT Hub, integratesWith, Azure Time Series Insights]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azure Time Series Insights Context triple: [Azure IoT Hub, integratesWith, Azure Time Series Insights]
-
A.
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.
-
B.
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.
-
C.
AWS IoT Analytics
AWS IoT Analytics is a fully managed AWS service that collects, processes, enriches, and analyzes large volumes of IoT device data at scale.
-
D.
Azure Event Hubs
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.
-
E.
Azure Monitor
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Azure Time Series Insights Triple: [Azure IoT Hub, integratesWith, Azure Time Series Insights]
Generated description
Azure Time Series Insights is a fully managed analytics, storage, and visualization service for exploring and analyzing time-series data from IoT and other event streams in real time.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azure Time Series Insights Target entity description: Azure Time Series Insights is a fully managed analytics, storage, and visualization service for exploring and analyzing time-series data from IoT and other event streams in real time.
-
A.
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.
-
B.
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.
-
C.
AWS IoT Analytics
AWS IoT Analytics is a fully managed AWS service that collects, processes, enriches, and analyzes large volumes of IoT device data at scale.
-
D.
Azure Event Hubs
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.
-
E.
Azure Monitor
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.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69d1ecb3e4a08190add9b971d96f331d |
completed | April 5, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ed413edc81908177be16d5127a58 |
completed | April 5, 2026, 5:04 a.m. |
Created at: March 30, 2026, 8:40 p.m.