Triple

T8285490
Position Surface form Disambiguated ID Type / Status
Subject aa-logprof E193777 entity
Predicate availableOn P1278 FINISHED
Object openSUSE 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 | Statement: [aa-logprof, availableOn, openSUSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: openSUSE
Context triple: [aa-logprof, availableOn, openSUSE]
  • 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. SUSE
    SUSE is a German-based open-source software company best known for its enterprise Linux distributions and related infrastructure solutions.
  • C. openSUSE Build Service
    openSUSE Build Service is a collaborative, cross-platform build and distribution infrastructure that allows developers to compile, package, and publish software for multiple Linux distributions from a single source.
  • D. Trisquel
    Trisquel is a fully free, community-driven GNU/Linux distribution based on Ubuntu, endorsed by the Free Software Foundation for its commitment to software freedom.
  • E. Mageia
    Mageia is a community-driven, Linux-based operating system forked from Mandriva, focused on stability, user-friendliness, and open-source principles.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce392feb048190a2adaee594127b0c completed April 2, 2026, 9:38 a.m.
Created at: March 30, 2026, 5:52 p.m.