Triple

T25451073
Position Surface form Disambiguated ID Type / Status
Subject Wayana people E637781 entity
Predicate historicalRelations P10260 FINISHED
Object Aparai people NE NERFINISHED

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: Aparai people | Statement: [Wayana people, historicalRelations, Aparai people]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalRelations
Context triple: [Wayana people, historicalRelations, Aparai people]
  • A. historicalRelationsWith
    Indicates a relationship where one entity has documented or recognized connections, interactions, or associations with another entity in the past.
  • B. historicalRelationship chosen
    Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
  • C. politicalRelation
    Indicates a relationship between entities that involves political alignment, influence, affiliation, conflict, or cooperation within a political context.
  • D. worldRelationship
    Indicates a broad, often high-level connection or interaction that exists between entities within a global or world-scale context.
  • E. diplomaticRelationsPredecessorStates
    Indicates that one state’s diplomatic relations precede and are succeeded by those of another state, typically due to succession, dissolution, or transformation of states.
  • 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_69e75db7c5048190b8da9cd7eeedb610 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 21, 2026, 2:03 p.m.