Triple

T22173814
Position Surface form Disambiguated ID Type / Status
Subject Nawat language E547989 entity
Predicate revitalizationEffortType P124057 FINISHED
Object community language 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 language classes | Statement: [Nawat language, revitalizationEffortType, community language classes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: revitalizationEffortType
Context triple: [Nawat language, revitalizationEffortType, community language classes]
  • A. revitalizationEffort
    Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
  • B. revitalizationType chosen
    Indicates the specific kind or category of revitalization process that is being applied to or associated with an entity.
  • C. revitalizationEffortIn
    Indicates that a revitalization effort or improvement initiative is being carried out within a specified location or area.
  • D. goalOfRevitalization
    Indicates an effort or initiative aimed at restoring, renewing, or strengthening something that has declined or weakened.
  • E. revitalizationAgent
    Indicates that an entity serves to restore, refresh, or renew another entity’s condition, function, or vitality.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6a9370819098ad65fede676c2b completed April 28, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69e71b41555881909b8e22718974d527 completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:34 p.m.