Triple

T13427415
Position Surface form Disambiguated ID Type / Status
Subject Mayo language E313516 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Opata language E313517 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: Opata language | Statement: [Mayo language, hasNeighboringLanguage, Opata language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opata language
Context triple: [Mayo language, hasNeighboringLanguage, Opata language]
  • A. Opata language chosen
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • B. Paraujano language
    The Paraujano language is an indigenous Arawakan (Maipurean) language historically spoken by the Paraujano people of northwestern Venezuela, now critically endangered or nearly extinct.
  • C. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • D. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • E. Kacipo-Bale language
    The Kacipo-Bale language is a Surmic language spoken by the Kacipo and Bale peoples of southwestern Ethiopia and neighboring regions of South Sudan.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed1f9208190bf5ef5b8a7ded376 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f730883cb48190add9469c48dc3e89 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:40 p.m.