Triple

T17825895
Position Surface form Disambiguated ID Type / Status
Subject Upper Umpqua language E445115 entity
Predicate relatedTo P37 FINISHED
Object Hupa language NE NERFINISHED

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: Hupa language | Statement: [Upper Umpqua language, relatedTo, Hupa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hupa language
Context triple: [Upper Umpqua language, relatedTo, Hupa language]
  • A. Hupa language chosen
    The Hupa language is an Athabaskan language traditionally spoken by the Hupa people of northwestern California.
  • B. Wailaki language
    The Wailaki language is an endangered Athabaskan language traditionally spoken by the Wailaki people of northern California.
  • C. Yakama language
    The Yakama language is a Native American Sahaptin language traditionally spoken by the Yakama people of the Pacific Northwest region of the United States.
  • D. Walapai language
    The Walapai language is a Native American language of the Yuman family traditionally spoken by the Hualapai people of northwestern Arizona.
  • E. Umatilla language
    The Umatilla language is a critically endangered Sahaptin language of the Indigenous Umatilla people of the Pacific Northwest, now the focus of revitalization and preservation efforts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914226c819083edcc78e00b2d42 completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.