Triple

T6776766
Position Surface form Disambiguated ID Type / Status
Subject Paresí–Xingu subgroup E155576 entity
Predicate hasReferenceGrammarFor P18535 FINISHED
Object Waurá language E618293 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: Waurá language | Statement: [Paresí–Xingu subgroup, hasReferenceGrammarFor, Waurá language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waurá language
Context triple: [Paresí–Xingu subgroup, hasReferenceGrammarFor, Waurá language]
  • A. Waurá language chosen
    The Waurá language is an Arawakan language spoken by the Waurá people of Brazil’s Upper Xingu region in the Amazon.
  • B. Warao language
    The Warao language is an indigenous language isolate spoken by the Warao people of northeastern Venezuela and nearby regions, particularly in the Orinoco Delta.
  • C. Juruna language
    The Juruna language is an indigenous Tupian language spoken by the Juruna (Yudjá) people of the Xingu region in Brazil.
  • D. Terena language
    The Terena language is an Arawakan indigenous language spoken primarily by the Terena people of Brazil’s Mato Grosso do Sul region.
  • E. Jarawa language
    The Jarawa language is an endangered Ongan language spoken by the indigenous Jarawa people of the Andaman Islands in India.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7c94bac8190ae4b236d1b04bec9 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a803fe08190b4dc32d09e91da07 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:13 p.m.