Triple

T8387611
Position Surface form Disambiguated ID Type / Status
Subject Mazatec languages E197857 entity
Predicate relatedTo P37 FINISHED
Object Chocho language E728373 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: Chocho language | Statement: [Mazatec languages, relatedTo, Chocho language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chocho language
Context triple: [Mazatec languages, relatedTo, Chocho language]
  • A. Chocho language chosen
    The Chocho language is an indigenous Oto-Manguean language of central Mexico, traditionally spoken by the Chocho people in parts of Oaxaca.
  • B. Chimariko language
    The Chimariko language is an extinct Native American language once spoken in northwestern California, often classified within the proposed Hokan language family.
  • C. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • D. Chaha language
    Chaha is an Afroasiatic Semitic language of the Gurage group spoken primarily in southwestern Ethiopia.
  • E. Chumburung language
    The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb81076eac8190893813628cacc1aa completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde83aac448190b74f65507170a8f7 completed April 2, 2026, 3:53 a.m.
Created at: March 30, 2026, 6:03 p.m.