Triple

T17561899
Position Surface form Disambiguated ID Type / Status
Subject DynamoDB Streams E427710 entity
Predicate accessedVia P1985 FINISHED
Object DynamoDB Streams API 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: DynamoDB Streams API | Statement: [DynamoDB Streams, accessedVia, DynamoDB Streams API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DynamoDB Streams API
Context triple: [DynamoDB Streams, accessedVia, DynamoDB Streams API]
  • A. DynamoDB Streams chosen
    DynamoDB Streams is a change data capture feature of Amazon DynamoDB that records item-level modifications in near real time for use cases like event-driven processing, replication, and auditing.
  • B. Amazon Kinesis
    Amazon Kinesis is a fully managed AWS service for real-time collection, processing, and analysis of streaming data at scale.
  • C. Amazon DynamoDB
    Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
  • D. 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.
  • E. 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.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456274c888190ac80402e391674dd completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.