Triple

T11620727
Position Surface form Disambiguated ID Type / Status
Subject Shinnecock language E275628 entity
Predicate revitalizationEffortsInclude P4089 FINISHED
Object 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: language classes | Statement: [Shinnecock language, revitalizationEffortsInclude, language classes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: revitalizationEffortsInclude
Context triple: [Shinnecock language, revitalizationEffortsInclude, language classes]
  • A. revitalizationEffortIn
    Indicates that a revitalization effort or improvement initiative is being carried out within a specified location or area.
  • B. revitalizationEffort chosen
    Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
  • C. revitalizationNeed
    Indicates that an entity requires renewal, restoration, or significant improvement to regain vitality, functionality, or effectiveness.
  • D. revitalizationCountry
    Indicates the country in which a revitalization effort, project, or process takes place or is targeted.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1206f1c81908d92024ef71958c0 completed April 10, 2026, 7:05 a.m.
PD Predicate disambiguation batch_69d85dd6503c819081f9045e9d5c4f3f completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:39 p.m.