Triple

T286856
Position Surface form Disambiguated ID Type / Status
Subject Linux E5903 entity
Predicate hasDistributions P10379 FINISHED
Object Gentoo 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: Gentoo | Statement: [Linux, hasDistributions, Gentoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gentoo
Context triple: [Linux, hasDistributions, Gentoo]
  • A. Dracut
    Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
  • 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. Linux
    Linux is a widely used open-source Unix-like operating system kernel that powers servers, desktops, mobile devices, and embedded systems around the world.
  • D. Red Hat
    Red Hat is a leading American open-source software company best known for its enterprise Linux distribution and related cloud and middleware solutions.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a260d21e5881909f3baba8b8dfff92 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39d078ad88190b4fce535c8ea9a80 completed March 1, 2026, 1:57 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.