Triple

T4600413
Position Surface form Disambiguated ID Type / Status
Subject Amazon S3 E100305 entity
Predicate integratesWith P1075 FINISHED
Object AWS CloudTrail E293758 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 CloudTrail | Statement: [Amazon S3, integratesWith, AWS CloudTrail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWS CloudTrail
Context triple: [Amazon S3, integratesWith, AWS CloudTrail]
  • A. AWS CloudTrail chosen
    AWS CloudTrail is a logging and auditing service that records and monitors API calls and account activity across AWS resources for security, compliance, and operational troubleshooting.
  • B. Amazon CloudWatch
    Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
  • C. Aws
    Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
  • D. AWS Config
    AWS Config is a cloud service that continuously assesses, audits, and records the configurations of AWS resources to help with compliance, security, and operational troubleshooting.
  • E. AWS
    AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5971f448819090f6e76c7d3ffc2d completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa5a7aac8190b540b80816d55051 completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.