Triple

T9712804
Position Surface form Disambiguated ID Type / Status
Subject Podman E235059 entity
Predicate distribution P1356 FINISHED
Object Fedora E7681 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: Fedora | Statement: [Podman, distribution, Fedora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fedora
Context triple: [Podman, distribution, Fedora]
  • A. Fedora
    Fedora is a 1978 drama film by Billy Wilder that explores the tragic mystique and hidden costs of Hollywood stardom.
  • B. Fedora Linux chosen
    Fedora Linux is a community-driven, cutting-edge Linux distribution sponsored by Red Hat, known for integrating the latest open-source technologies and serving as a foundation for other projects and operating systems.
  • C. Rocky Linux
    Rocky Linux is a community-driven, enterprise-grade Linux distribution designed to be a bug-for-bug compatible downstream rebuild of Red Hat Enterprise Linux.
  • D. Fedora Silverblue
    Fedora Silverblue is an immutable, desktop-focused variant of Fedora Linux that delivers a stable, container-friendly operating system image designed for reliability and easy rollbacks.
  • E. Red Hat Enterprise Linux
    Red Hat Enterprise Linux is a commercially supported, enterprise-grade Linux distribution widely used for servers, cloud deployments, and mission-critical applications.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0705f8819095852263009c28c5 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8c26dc8190a6fa21bde27ba6fa completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.