Triple

T20016199
Position Surface form Disambiguated ID Type / Status
Subject Macro-Jê languages E494723 entity
Predicate includesLanguage P2177 FINISHED
Object Kaingang 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: Kaingang language | Statement: [Macro-Jê languages, includesLanguage, Kaingang language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaingang language
Context triple: [Macro-Jê languages, includesLanguage, Kaingang language]
  • A. 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.
  • B. Tagakaulo language
    Tagakaulo language is an Austronesian language spoken by the Tagakaulo people of Mindanao in the southern Philippines.
  • C. Jarawa language
    The Jarawa language is an endangered Ongan language spoken by the indigenous Jarawa people of the Andaman Islands in India.
  • D. Xokleng–Kaingang languages chosen
    The Xokleng–Kaingang languages are a small group of closely related Indigenous languages spoken in southern Brazil, traditionally associated with the Xokleng and Kaingang peoples.
  • 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 (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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623cb8188190b95913ffed895930 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.