Triple

T3415231
Position Surface form Disambiguated ID Type / Status
Subject Amazon Corretto E71992 entity
Predicate supportsOperatingSystem P5090 FINISHED
Object Docker E56722 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: Docker | Statement: [Amazon Corretto, supportsOperatingSystem, Docker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Docker
Context triple: [Amazon Corretto, supportsOperatingSystem, Docker]
  • A. Docker chosen
    Docker is an open-source platform that uses containerization to package, distribute, and run applications consistently across different computing environments.
  • B. Docker Compose
    Docker Compose is a tool that lets you define and run multi-container Docker applications using a simple YAML configuration file.
  • C. Docker Swarm
    Docker Swarm is a native clustering and orchestration tool for Docker containers that enables users to deploy, manage, and scale containerized applications across multiple hosts.
  • D. Kubernetes
    Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
  • E. Docker Registry
    Docker Registry is a storage and distribution system for Docker container images, enabling users to push, pull, and manage images in centralized or private repositories.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb929b8ec8190aef431ec8ea2cf80 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34be16dd48190a51f4e13a6a13a4f completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:15 p.m.