Triple

T21218413
Position Surface form Disambiguated ID Type / Status
Subject Asháninka E522897 entity
Predicate language P15 FINISHED
Object Asháninka language 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: Asháninka language | Statement: [Asháninka, language, Asháninka language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asháninka language
Context triple: [Asháninka, language, Asháninka language]
  • A. Asháninka language chosen
    The Asháninka language is an Arawakan language spoken by the Asháninka people of the Peruvian and Brazilian Amazon, known for its rich oral tradition and central role in the community’s cultural identity.
  • B. Machiguenga language
    The Machiguenga language is an Arawakan language spoken by the Machiguenga (Matsigenka) indigenous people of the Peruvian Amazon.
  • C. 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.
  • D. Secoya language
    The Secoya language is a Western Tucanoan language spoken by the Secoya people of the Amazonian regions of Ecuador and Peru.
  • E. Sipakapense language
    The Sipakapense language is a Mayan language spoken by the Sipakapense people in the western highlands of Guatemala.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7347613308190a1c9f4ea51591d4b completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:42 p.m.