Triple

T8609371
Position Surface form Disambiguated ID Type / Status
Subject Distrobox E203879 entity
Predicate uses P98 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: [Distrobox, uses, Podman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Podman
Context triple: [Distrobox, uses, 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. Dockers
    Dockers is the common nickname for the Fremantle Dockers, an Australian Football League (AFL) club based in Fremantle, Western Australia.
  • D. Kata Containers
    Kata Containers is an open-source container runtime that uses lightweight virtual machines to provide stronger workload isolation and enhanced security compared to traditional container runtimes.
  • E. 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.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ed77588190a872d22d9d1f7429 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc8b99cc8190b319a435f456ec05 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:25 p.m.