Triple

T2555578
Position Surface form Disambiguated ID Type / Status
Subject Docker E56722 entity
Predicate relatedTo P37 FINISHED
Object Podman E235059 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: Podman | Statement: [Docker, relatedTo, Podman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Podman
Context triple: [Docker, relatedTo, Podman]
  • A. podman chosen
    Podman is a daemonless, open-source container engine for developing, managing, and running OCI containers and pods, often used as a drop-in alternative to Docker.
  • B. Docker
    Docker is an open-source platform that uses containerization to package, distribute, and run applications consistently across different computing environments.
  • C. containerd
    containerd is an industry-standard, CNCF-hosted container runtime that manages the complete container lifecycle on Linux and Windows, widely used as the core runtime component in modern container platforms.
  • D. LXD
    LXD is a system container and virtual machine manager that provides a user-friendly, image-based way to run and manage Linux environments.
  • E. Red Hat CoreOS
    Red Hat CoreOS is a container-optimized, minimal Linux operating system designed by Red Hat to provide an automated, secure, and scalable platform for running containerized workloads, particularly on OpenShift.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30eec988190810346bb8b6cb489 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1ad6b4819097f1d18a12aa2b89 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.