Triple

T615070
Position Surface form Disambiguated ID Type / Status
Subject Quechan language E12184 entity
Predicate languageRevitalization P4252 FINISHED
Object community-based classes 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: community-based classes | Statement: [Quechan language, languageRevitalization, community-based classes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageRevitalization
Context triple: [Quechan language, languageRevitalization, community-based classes]
  • A. hasLanguageRevitalizationEfforts chosen
    Indicates that there are organized actions or initiatives aimed at preserving, strengthening, or reviving the use of a particular language.
  • B. heritageLanguage
    Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
  • C. languageDiversity
    Indicates the degree to which multiple distinct languages are present and used within a given context or population.
  • D. glottocode
    Indicates the standardized Glottolog code that uniquely identifies the language or dialect associated with an entity.
  • E. isCulturalLanguageOf
    Indicates that a language serves as a primary medium of cultural expression, identity, and heritage for a particular group, community, or region.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e0b438881909ad515adf7a4eb79 completed March 1, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69a49cfbcbf88190a854921dc531eba8 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.