Triple

T2323016
Position Surface form Disambiguated ID Type / Status
Subject Aguaruna language E48223 entity
Predicate hasAlternativeName P39 FINISHED
Object Aguajún language E256707 NE 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: Aguajún language | Statement: [Aguaruna language, hasAlternativeName, Aguajún language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aguajún language
Context triple: [Aguaruna language, hasAlternativeName, Aguajún language]
  • A. Aguaruna language
    The Aguaruna language is a Jivaroan language spoken by the Aguaruna (Awajún) people of northern Peru, closely related to the Shuar language of Ecuador.
  • B. Awajún language chosen
    Awajún language is an indigenous Jivaroan language spoken primarily by the Awajún (Aguaruna) people of northern Peru.
  • C. Enawené-Nawé language
    The Enawené-Nawé language is an indigenous Arawakan language spoken by the Enawené-Nawé people of the Brazilian Amazon, known for its highly endangered status and rich oral tradition.
  • D. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • E. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc645bac081908c0b161d0ca99aaf completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae96139e688190847bfa872bd08ed4 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:49 p.m.