Triple

T29733630
Position Surface form Disambiguated ID Type / Status
Subject LXDE E752395 entity
Predicate supportsMultiLanguage P11998 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: [LXDE, supportsMultiLanguage, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsMultiLanguage
Context triple: [LXDE, supportsMultiLanguage, true]
  • A. isMultilingual
    Indicates that an entity can understand and/or communicate in multiple languages.
  • B. secondaryLanguageSupport
    Indicates that an entity provides assistance, services, or functionality in an additional (non-primary) language.
  • C. usesLanguageSupport
    Indicates that one entity makes use of language-related assistance, features, or services provided by another entity.
  • D. supportsInternationalization chosen
    Indicates that an entity provides functionality or features that enable use across multiple languages, locales, or regional formats.
  • E. supportsLanguageOverrides
    Indicates that an entity allows its default behavior or settings to be modified based on specific language selections or preferences.
  • 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_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e0f3d88190a4ee7b0673f1ef90 completed May 12, 2026, 7:05 p.m.
Created at: April 28, 2026, 7:44 p.m.