Triple

T29408313
Position Surface form Disambiguated ID Type / Status
Subject RR64 Linux E745829 entity
Predicate isUserFriendly P141769 FINISHED
Object true LITERAL 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: true | Statement: [RR64 Linux, isUserFriendly, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isUserFriendly
Context triple: [RR64 Linux, isUserFriendly, true]
  • A. isStandaloneFriendly
    Indicates that an entity can operate or be used effectively on its own without requiring integration or support from other entities.
  • B. isFamilyFriendly
    Indicates that something is suitable for all ages and does not contain content inappropriate for children or sensitive audiences.
  • C. isBeginnerFriendly chosen
    Indicates that something is suitable and easy to understand or use for beginners with little or no prior experience.
  • D. usableAs
    Indicates that one entity can function in place of or serve the purpose of another entity.
  • E. isRadioFriendly
    Indicates that something (typically a song, track, or audio content) is suitable for broadcast on mainstream radio, usually by meeting content, length, and formatting standards.
  • F. None of above.

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_69f0a79eb7d081908c67197a5f347e68 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f67d3624248190a36a9b2d2e9778d4 completed May 2, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69f678ce54b081908c26edfd49e39c60 completed May 2, 2026, 10:21 p.m.
Created at: April 28, 2026, 2:55 p.m.