Triple

T1728492
Position Surface form Disambiguated ID Type / Status
Subject Oto-Manguean languages E37554 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Chatino E193682 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: Chatino | Statement: [Oto-Manguean languages, hasMemberLanguage, Chatino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatino
Context triple: [Oto-Manguean languages, hasMemberLanguage, Chatino]
  • A. Chatino people chosen
    The Chatino people are an indigenous Mesoamerican group of southern Mexico with their own distinct Oto-Manguean language and rich traditional culture.
  • B. Ho-Chunk language
    The Ho-Chunk language is a Native American Siouan language traditionally spoken by the Ho-Chunk people of Wisconsin and Nebraska, known for its complex verb morphology and ongoing revitalization efforts.
  • C. Diegueño language
    The Diegueño language is a Yuman language traditionally spoken by the Kumeyaay (Diegueño) people of southern California and northern Baja California.
  • D. Chipewyan
    Chipewyan is an Athabaskan Indigenous language traditionally spoken by the Dene people of northern Canada.
  • E. Quechan language
    The Quechan language is a Native American language spoken by the Quechan (Yuma) people of the lower Colorado River region in the southwestern United States.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa637da7048190a06f2eec6cb87f70 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada980ec888190b78726012e50c905 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:30 p.m.