Triple

T12323510
Position Surface form Disambiguated ID Type / Status
Subject AWS IoT Core E293775 entity
Predicate integratesWith P1075 FINISHED
Object Amazon Kinesis Data Streams E293770 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: Amazon Kinesis Data Streams | Statement: [AWS IoT Core, integratesWith, Amazon Kinesis Data Streams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amazon Kinesis Data Streams
Context triple: [AWS IoT Core, integratesWith, Amazon Kinesis Data Streams]
  • A. Amazon Kinesis chosen
    Amazon Kinesis is a fully managed AWS service for real-time collection, processing, and analysis of streaming data at scale.
  • B. Amazon Kinesis Data Firehose
    Amazon Kinesis Data Firehose is a fully managed AWS service for reliably capturing, transforming, and loading real-time streaming data into data lakes, warehouses, and analytics services.
  • C. Amazon Kinesis Video Streams
    Amazon Kinesis Video Streams is an AWS service that securely ingests, stores, and processes streaming video for real-time and batch applications such as analytics, machine learning, and playback.
  • 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. Amazon Kinesis Client Library
    Amazon Kinesis Client Library is a software library that simplifies building and scaling applications that process and consume streaming data from Amazon Kinesis data streams.
  • 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_69f65e9e909081909b341398e7aae954 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:53 p.m.