Triple

T8938984
Position Surface form Disambiguated ID Type / Status
Subject Tiriyó language E212848 entity
Predicate hasAlternativeName P39 FINISHED
Object Tiriyó E618492 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: Tiriyó | Statement: [Tiriyó language, hasAlternativeName, Tiriyó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiriyó
Context triple: [Tiriyó language, hasAlternativeName, Tiriyó]
  • A. Tiriyó chosen
    The Tiriyó are an Indigenous people of the Guiana Shield region, living primarily in the border areas of Brazil and Suriname and known for their distinct Cariban language and forest-based way of life.
  • B. Tewa
    Tewa is a group of closely related Tanoan languages spoken by several Pueblo communities in northern New Mexico and parts of Arizona, central to their cultural and ceremonial life.
  • C. Tirawuta
    Tirawuta is a town in Indonesia that serves as one of the local administrative centers in the province of Southeast Sulawesi.
  • D. Tupuri
    The Tupuri are an ethnic group of Central Africa, primarily living in northern Cameroon and southwestern Chad, known for their distinct language and agrarian lifestyle.
  • E. Wayampí
    Wayampí is an indigenous Tupi–Guaraní language spoken by the Wayampí people of the Amazon region in Brazil and French Guiana.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b7484481909e0d7610552f5386 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd099b2f48190b81d6747bad4b992 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 6:58 p.m.