Triple

T11100061
Position Surface form Disambiguated ID Type / Status
Subject LF E262478 entity
Predicate supportsProject P12986 FINISHED
Object Yocto Project E262480 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: Yocto Project | Statement: [LF, supportsProject, Yocto Project]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yocto Project
Context triple: [LF, supportsProject, Yocto Project]
  • A. Yocto Project chosen
    Yocto Project is an open source collaboration project that provides tools and templates for creating custom Linux-based systems for embedded and IoT devices.
  • B. U-Boot
    U-Boot is an open-source universal bootloader commonly used to initialize and load operating systems on embedded systems and single-board computers.
  • C. Fedora IoT
    Fedora IoT is a Fedora Edition tailored for Internet of Things and embedded devices, providing an immutable, atomic-update operating system platform for connected systems.
  • D. Alpine Linux
    Alpine Linux is a lightweight, security-focused Linux distribution designed for simplicity, resource efficiency, and containerized environments.
  • E. Automotive Grade Linux
    Automotive Grade Linux is an open-source software platform and collaborative project that provides a common Linux-based framework for in-vehicle infotainment and other automotive 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a29ee6c819092bc0da3f9255389 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7f9b46881909761ed448fa5ce6e completed April 18, 2026, 8:22 p.m.
Created at: April 8, 2026, 9:27 p.m.