Triple

T8724246
Position Surface form Disambiguated ID Type / Status
Subject Linux kernel E207089 entity
Predicate usedIn P98 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: [Linux kernel, usedIn, Fedora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fedora
Context triple: [Linux kernel, usedIn, 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d1404948190bc45d14a1ddb1a7e completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfab417d4481908cc6305ec2752078 completed April 3, 2026, 11:57 a.m.
Created at: March 30, 2026, 6:36 p.m.