Triple

T16666550
Position Surface form Disambiguated ID Type / Status
Subject Wixarika language E404996 entity
Predicate nativeName P15 FINISHED
Object Wixárika E407933 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: Wixárika | Statement: [Wixarika language, nativeName, Wixárika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wixárika
Context triple: [Wixarika language, nativeName, Wixárika]
  • A. Wixárika chosen
    Wixárika are an Indigenous people of western Mexico known for their rich spiritual traditions, vibrant yarn and bead art, and preservation of their native language and customs.
  • B. Huixtla
    Huixtla is a municipality and commercial town in the Soconusco region of Chiapas, Mexico, known for its agricultural production and regional trade.
  • C. Tlaxpana
    Tlaxpana is a neighborhood in Mexico City known for its central location within the Miguel Hidalgo borough and its mix of residential, commercial, and historical urban character.
  • D. Tototlán
    Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
  • E. Matlatzinca
    Matlatzinca is an indigenous language of central Mexico spoken by the Matlatzinca people, primarily in the State of Mexico.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9d9fc48190a8156c029668b544 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091901fd88190a3c0e4b133121a02 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:18 a.m.