Triple

T8917921
Position Surface form Disambiguated ID Type / Status
Subject mintInstall E212338 entity
Predicate supports P516 FINISHED
Object Flatpak E203877 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: Flatpak | Statement: [mintInstall, supports, Flatpak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flatpak
Context triple: [mintInstall, supports, Flatpak]
  • A. Flatpak chosen
    Flatpak is a cross-distribution Linux framework for building, distributing, and running sandboxed desktop applications.
  • B. flatpak portal
    Flatpak Portal is a desktop integration and permissions interface that allows sandboxed Flatpak applications to securely access system resources and user data through well-defined APIs.
  • C. Flathub
    Flathub is a central repository and distribution platform for Flatpak applications on Linux, providing a wide catalog of desktop software from various developers.
  • D. GNOME Software
    GNOME Software is the graphical application store and software management tool for the GNOME desktop environment, used to browse, install, and update applications.
  • E. flatpak-builder
    flatpak-builder is a command-line tool used to build and package applications into Flatpak bundles from manifest files in a reproducible way.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66120eb08190913ab6c42f26ffb8 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba49d65c8190b9d9908822198cc0 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.