Triple

T3386900
Position Surface form Disambiguated ID Type / Status
Subject Tłı̨chǫ E71322 entity
Predicate closelyRelatedTo P37 FINISHED
Object Dogrib language E350867 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: Dogrib language | Statement: [Tłı̨chǫ, closelyRelatedTo, Dogrib language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dogrib language
Context triple: [Tłı̨chǫ, closelyRelatedTo, Dogrib language]
  • A. Dogrib language chosen
    The Dogrib language is an Indigenous Dene (Athabaskan) language spoken primarily by the Tłı̨chǫ people of Canada’s Northwest Territories.
  • B. Gwich’in language
    The Gwich’in language is an Athabaskan Indigenous language traditionally spoken by the Gwich’in people of northern Alaska and northwestern Canada.
  • C. Assiniboine language
    The Assiniboine language is an Indigenous Siouan language traditionally spoken by the Assiniboine people of the Northern Plains in North America.
  • D. Sibe language
    Sibe language is a modern Tungusic language spoken primarily by the Sibe people in Xinjiang, China, and is closely related to Manchu.
  • E. Naskapi language
    The Naskapi language is an Indigenous Algonquian language spoken primarily by the Naskapi people of northern Quebec and Labrador in Canada.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb66448fc8190a8582145f02bb1d9 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33458130881908a2b47abd91f4ea8 completed March 12, 2026, 9:47 p.m.
Created at: March 8, 2026, 3:14 p.m.