Triple

T16767984
Position Surface form Disambiguated ID Type / Status
Subject Defaka language E407517 entity
Predicate hasPreservationNeed P124562 FINISHED
Object urgent documentation and revitalization 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: urgent documentation and revitalization | Statement: [Defaka language, hasPreservationNeed, urgent documentation and revitalization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPreservationNeed
Context triple: [Defaka language, hasPreservationNeed, urgent documentation and revitalization]
  • A. hasPreservationConditions
    Indicates the specific environmental or handling conditions required to properly preserve or maintain an entity.
  • B. hasSubjectOfPreservation
    Indicates that something is the specific focus or object being preserved or conserved within a preservation relationship.
  • C. hasPreservationActivity
    Indicates that an entity is involved in, or associated with, a specific preservation-related action or process.
  • D. isPreservationPriority
    Indicates that an entity has been designated as a high-priority target for protection, conservation, or maintenance over time.
  • E. stateOfPreservation
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • F. None of above. chosen

Provenance (4 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b033d6b88190a1366a58d63b0546 completed April 18, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69e319cbd79c8190a03587a61c18bec0 completed April 18, 2026, 5:42 a.m.
PDg Predicate description generation batch_69e326bac94481908c082117553320f8 completed April 18, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:21 a.m.