Triple
T12323517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS IoT Core |
E293775
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | AWS IoT Analytics |
E426150
|
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: AWS IoT Analytics | Statement: [AWS IoT Core, integratesWith, AWS IoT Analytics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS IoT Analytics Context triple: [AWS IoT Core, integratesWith, AWS IoT Analytics]
-
A.
AWS IoT Analytics
chosen
AWS IoT Analytics is a fully managed AWS service that collects, processes, enriches, and analyzes large volumes of IoT device data at scale.
-
B.
AWS IoT Core
AWS IoT Core is a managed cloud service that securely connects and manages Internet of Things devices at scale, enabling them to interact with cloud applications and other devices.
-
C.
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.
-
D.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics is a fully managed AWS service that enables real-time processing and analysis of streaming data using SQL or Apache Flink.
-
E.
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.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4d7dac81909ff10e64e229ef33 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8d27288190bdf32acd600141db |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.