Triple

T14514313
Position Surface form Disambiguated ID Type / Status
Subject Core Yuman E340477 entity
Predicate hasPart P35 FINISHED
Object Cocopa language E13260 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: Cocopa language | Statement: [Core Yuman, hasPart, Cocopa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cocopa language
Context triple: [Core Yuman, hasPart, Cocopa language]
  • A. Cocopa language chosen
    The Cocopa language is an indigenous Native American language spoken by the Cocopah people of the lower Colorado River region in the United States and Mexico.
  • B. Cochimí language
    The Cochimí language is an extinct indigenous language once spoken by the Cochimí people of the central Baja California peninsula in Mexico.
  • C. Cocama language
    The Cocama language is an endangered indigenous Tupian language spoken by the Cocama-Cocamilla people in the Amazon regions of Peru, Brazil, and Colombia.
  • D. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • E. Cuicatec language
    The Cuicatec language is an indigenous Oto-Manguean language of Mexico spoken primarily in northern Oaxaca.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6d82988190b6f957012bcc63d4 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da64db881909a4f88d18031cb0c completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.