Triple

T10231552
Position Surface form Disambiguated ID Type / Status
Subject Omaha–Ponca language E243350 entity
Predicate revitalizationActivities P4089 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: [Omaha–Ponca language, revitalizationActivities, community language classes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: revitalizationActivities
Context triple: [Omaha–Ponca language, revitalizationActivities, community language classes]
  • A. revitalizationEffort chosen
    Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
  • B. revitalizationEffortIn
    Indicates that a revitalization effort or improvement initiative is being carried out within a specified location or area.
  • C. revitalizationAgent
    Indicates that an entity serves to restore, refresh, or renew another entity’s condition, function, or vitality.
  • D. revitalizationNeed
    Indicates that an entity requires renewal, restoration, or significant improvement to regain vitality, functionality, or effectiveness.
  • E. revitalizationCountry
    Indicates the country in which a revitalization effort, project, or process takes place or is targeted.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23b620c8190b8a72d0eb0d16b93 completed April 7, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69d4d1e9798c8190b437d53d48554ba1 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:20 a.m.