Triple

T10880232
Position Surface form Disambiguated ID Type / Status
Subject Tupian languages E256900 entity
Predicate includesLanguage P2177 FINISHED
Object Tapirapé language E597725 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: Tapirapé language | Statement: [Tupian languages, includesLanguage, Tapirapé language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tapirapé language
Context triple: [Tupian languages, includesLanguage, Tapirapé language]
  • A. Tapirapé language chosen
    Tapirapé is an indigenous Tupian language spoken by the Tapirapé people of Brazil, known for its complex morphology and endangered status.
  • 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. Apurinã language
    The Apurinã language is an indigenous Arawakan language spoken by the Apurinã people of the Brazilian Amazon, known for its complex verbal morphology and endangered status.
  • D. Juruna language
    The Juruna language is an indigenous Tupian language spoken by the Juruna (Yudjá) people of the Xingu region in Brazil.
  • E. Terena language
    The Terena language is an Arawakan indigenous language spoken primarily by the Terena people of Brazil’s Mato Grosso do Sul region.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751b031a88190b1182dfc1f520264 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3443f04c08190a8071ac7374115b1 completed April 18, 2026, 8:43 a.m.
Created at: April 8, 2026, 9:21 p.m.