Triple

T4280102
Position Surface form Disambiguated ID Type / Status
Subject Amazon QuickSight E97125 entity
Predicate integratesWith P1075 FINISHED
Object Amazon RDS E97121 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 RDS | Statement: [Amazon QuickSight, integratesWith, Amazon RDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon RDS
Context triple: [Amazon QuickSight, integratesWith, Amazon RDS]
  • A. Amazon RDS chosen
    Amazon RDS is a managed relational database service by Amazon Web Services that simplifies setup, operation, and scaling of databases in the cloud.
  • B. Amazon Aurora
    Amazon Aurora is a fully managed, cloud-native relational database engine from AWS designed for high performance, scalability, and compatibility with MySQL and PostgreSQL.
  • C. Amazon Redshift
    Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
  • D. 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.
  • E. AWS Database Migration Service
    AWS Database Migration Service is a managed cloud service that helps you securely and reliably migrate and replicate databases to AWS with minimal downtime.
  • 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_69b5c7237b608190ab5aca56027344c4 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:07 p.m.