Triple

T2558839
Position Surface form Disambiguated ID Type / Status
Subject Mohave E57192 entity
Predicate language P15 FINISHED
Object Mohave language E68171 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: Mohave language | Statement: [Mohave, language, Mohave language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mohave language
Context triple: [Mohave, language, Mohave language]
  • A. Mojave language chosen
    The Mojave language is a Native American Yuman language traditionally spoken by the Mojave people along the lower Colorado River in the southwestern United States.
  • B. Maricopa language
    Maricopa language is a Native American Yuman language traditionally spoken by the Maricopa people of the lower Colorado River region in the southwestern United States.
  • C. Cahuilla language
    The Cahuilla language is an endangered Uto-Aztecan Native American language traditionally spoken by the Cahuilla people of Southern California.
  • D. Yavapai language
    The Yavapai language is an indigenous Native American language traditionally spoken by the Yavapai people of central and western Arizona.
  • E. Cocopah language
    The Cocopah language is a Yuman language traditionally spoken by the Cocopah people of the lower Colorado River region in the southwestern United States and northwestern 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd333370c8190b1d64ec99e999913 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d2061108190b6250d2943736ae4 completed March 9, 2026, 11:52 p.m.
Created at: March 6, 2026, 9:48 p.m.