Triple

T23493294
Position Surface form Disambiguated ID Type / Status
Subject Wichí E571633 entity
Predicate selfDesignation P974 FINISHED
Object Wichí 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: Wichí | Statement: [Wichí, selfDesignation, Wichí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wichí
Context triple: [Wichí, selfDesignation, Wichí]
  • A. Wichí chosen
    The Wichí are an indigenous people of the Gran Chaco region of Argentina and Bolivia, known for their distinct language, traditional forest-based livelihood, and rich weaving and craft traditions.
  • B. Yupanqui
    Yupanqui is a prominent Inca royal surname historically associated with several emperors of the Inca Empire and their descendants.
  • C. Calchaquí
    Calchaquí refers to an Indigenous people of the Andean northwest region of Argentina, historically known for their resistance to Spanish conquest and their distinctive cultural and linguistic heritage.
  • D. Vichigasta
    Vichigasta is a small town in the Chilecito Department of La Rioja Province in northwestern Argentina.
  • E. Guará
    Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7de1ab88190b6c2441c63a99713 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.