Triple

T4280025
Position Surface form Disambiguated ID Type / Status
Subject Amazon Kinesis Data Firehose E97124 entity
Predicate supportsSource P24486 FINISHED
Object AWS IoT E293775 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 | Statement: [Amazon Kinesis Data Firehose, supportsSource, AWS IoT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWS IoT
Context triple: [Amazon Kinesis Data Firehose, supportsSource, AWS IoT]
  • A. AWS IoT Core chosen
    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.
  • B. 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.
  • C. IOT
    IOT is the three-letter ISO 3166-1 alpha-3 country code assigned to the British Indian Ocean Territory.
  • D. Amazon CloudWatch
    Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
  • E. MindSphere
    MindSphere is Siemens' cloud-based industrial Internet of Things (IIoT) platform for connecting, monitoring, and analyzing data from industrial equipment and systems.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350367da48190b735deef9b5d2d2e completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7bb0168819082a49347fdfe0997 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.