Triple

T22951768
Position Surface form Disambiguated ID Type / Status
Subject Pemón E570038 entity
Predicate language P15 FINISHED
Object Pemón 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: Pemón language | Statement: [Pemón, language, Pemón language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pemón language
Context triple: [Pemón, language, Pemón language]
  • A. Pemon language chosen
    Pemon language is an indigenous Cariban language spoken primarily by the Pemon people of southeastern Venezuela and neighboring regions of Brazil and Guyana.
  • B. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • C. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • D. Tepehuán language
    The Tepehuán language is a Uto-Aztecan indigenous language of northern Mexico spoken by the Tepehuán people in several regional dialects.
  • E. Guarijío language
    The Guarijío language is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a285448190a718734fe933d51a completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.