Triple

T17498956
Position Surface form Disambiguated ID Type / Status
Subject Amazon Kinesis Data Analytics E426144 entity
Predicate integratesWith P1075 FINISHED
Object Amazon Managed Streaming for Apache Kafka NE NERFINISHED

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 Managed Streaming for Apache Kafka | Statement: [Amazon Kinesis Data Analytics, integratesWith, Amazon Managed Streaming for Apache Kafka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Managed Streaming for Apache Kafka
Context triple: [Amazon Kinesis Data Analytics, integratesWith, Amazon Managed Streaming for Apache Kafka]
  • A. Amazon Kinesis
    Amazon Kinesis is a fully managed AWS service for real-time collection, processing, and analysis of streaming data at scale.
  • B. Amazon MSK chosen
    Amazon MSK is a fully managed Apache Kafka service from AWS that simplifies setting up, scaling, and operating Kafka clusters for streaming data applications.
  • C. Apache Kafka
    Apache Kafka is a distributed event streaming platform widely used for building real-time data pipelines and streaming applications.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.