Triple

T12323488
Position Surface form Disambiguated ID Type / Status
Subject AWS IoT Core E293775 entity
Predicate partOf P40 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: [AWS IoT Core, partOf, AWS IoT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWS IoT
Context triple: [AWS IoT Core, partOf, 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. AWS IoT Events
    AWS IoT Events is a fully managed AWS service that detects and responds to changes and complex event patterns from IoT sensors and applications at scale.
  • C. AWS IoT Greengrass
    AWS IoT Greengrass is an edge computing service from Amazon Web Services that lets connected devices run local compute, messaging, data caching, and machine learning inference while securely interacting with the cloud.
  • D. 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.
  • E. AWS IoT Device Defender
    AWS IoT Device Defender is a managed AWS security service that continuously audits, monitors, and helps protect fleets of IoT devices from potential security issues and anomalous behavior.
  • 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_69f63eefad508190be266c776525a7cc completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:53 p.m.