Triple

T19287376
Position Surface form Disambiguated ID Type / Status
Subject Yugambeh people E482348 entity
Predicate hasWrittenLanguageRevitalization P4252 FINISHED
Object Yugambeh language documentation projects 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: Yugambeh language documentation projects | Statement: [Yugambeh people, hasWrittenLanguageRevitalization, Yugambeh language documentation projects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWrittenLanguageRevitalization
Context triple: [Yugambeh people, hasWrittenLanguageRevitalization, Yugambeh language documentation projects]
  • A. hasLanguageRevitalizationEfforts chosen
    Indicates that there are organized actions or initiatives aimed at preserving, strengthening, or reviving the use of a particular language.
  • B. languageRevived
    Indicates that a previously endangered or no-longer-spoken language has been brought back into active use within a community.
  • C. languageRevivalMethod
    Indicates the method or strategy used to revive or revitalize a language that is endangered, dormant, or no longer actively spoken.
  • D. languageRevivalGoal
    Indicates a goal or effort aimed at reviving, revitalizing, or restoring use of a language that is endangered, declining, or no longer actively spoken.
  • E. writesLanguage
    Indicates that an entity produces written content in a particular language.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc032f108190a89e47d1458f3f55 completed April 20, 2026, 10:12 a.m.
PD Predicate disambiguation batch_69e4dd0bc7508190a6f9d56bd4c3404f completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:30 p.m.