Triple

T8247648
Position Surface form Disambiguated ID Type / Status
Subject Build Service E192886 entity
Predicate maintainer P2962 FINISHED
Object openSUSE Build Service team E37325 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: openSUSE Build Service team | Statement: [Build Service, maintainer, openSUSE Build Service team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: openSUSE Build Service team
Context triple: [Build Service, maintainer, openSUSE Build Service team]
  • A. openSUSE chosen
    openSUSE is a community-driven Linux distribution known for its stability, powerful administration tools like YaST, and close association with SUSE Linux Enterprise.
  • B. Meta Open Source team
    The Meta Open Source team is a group at Meta responsible for developing, maintaining, and stewarding key open-source projects and communities.
  • C. The Document Foundation
    The Document Foundation is a non-profit organization that oversees the development of the LibreOffice open-source office suite and promotes free, community-driven productivity software.
  • D. SUSE
    SUSE is a German-based open-source software company best known for its enterprise Linux distributions and related infrastructure solutions.
  • E. R-Forge
    R-Forge is an online development and collaboration platform for R projects, providing tools for version control, bug tracking, and package building.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7875318c819095f971ba513c54fd completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3530ca148190a28761622d0cf663 completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.