Triple

T2714015
Position Surface form Disambiguated ID Type / Status
Subject Amazon Web Services E59926 entity
Predicate offersService P178 FINISHED
Object Amazon VPC E59926 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 VPC | Statement: [Amazon Web Services, offersService, Amazon VPC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon VPC
Context triple: [Amazon Web Services, offersService, Amazon VPC]
  • A. AWS
    AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
  • B. 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.
  • C. Amazon Web Services chosen
    Amazon Web Services is a leading global cloud computing platform offering on-demand infrastructure, storage, and application services to businesses, developers, and institutions.
  • D. ECS
    ECS is the former ISO 4217 currency code for the Ecuadorian sucre, the national currency of Ecuador before its adoption of the U.S. dollar.
  • E. Amazon Elastic Kubernetes Service
    Amazon Elastic Kubernetes Service (Amazon EKS) is a cloud-based, fully managed service from AWS for running and scaling containerized applications using Kubernetes.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda924b24819090adc4128e86d4bd completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb687f6a081909ab1ba98a6ecc60f completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.