Triple

T3974494
Position Surface form Disambiguated ID Type / Status
Subject Southern Uto-Aztecan E85606 entity
Predicate hasLanguage P15 FINISHED
Object Cocopa E22220 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 | Statement: [Southern Uto-Aztecan, hasLanguage, Cocopa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cocopa
Context triple: [Southern Uto-Aztecan, hasLanguage, Cocopa]
  • A. Cochimí
    Cochimí were an Indigenous people of the Baja California Peninsula in Mexico, known for their distinct language and traditional hunter-gatherer lifestyle.
  • B. Tepehuan
    The Tepehuan are an Indigenous people of northern Mexico, known for their distinct Uto-Aztecan language, traditional agriculture, and communities in the Sierra Madre Occidental.
  • C. U.S. Cocopa
    U.S. Cocopa is a regional dialect of the Cocopa language spoken by Cocopah communities in the United States.
  • D. Cocopa people chosen
    The Cocopa people are an Indigenous group native to the lower Colorado River region of the U.S.–Mexico borderlands, traditionally known for riverine agriculture, fishing, and a rich cultural heritage expressed through their Yuman language and ceremonial practices.
  • E. Macuspana
    Macuspana is a significant urban center and municipality in the Mexican state of Tabasco, known for its role in the region’s political and economic life.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9b511f88190afca12c77481b344 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c472d048190843b29a6a9a4be86 completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:32 p.m.