Triple

T20703335
Position Surface form Disambiguated ID Type / Status
Subject Dene Suline language E508836 entity
Predicate alternateName P39 FINISHED
Object Dënesųłiné 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: Dënesųłiné | Statement: [Dene Suline language, alternateName, Dënesųłiné]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dënesųłiné
Context triple: [Dene Suline language, alternateName, Dënesųłiné]
  • A. Dënesųłiné chosen
    Dënesųłiné is the self-designation of the Chipewyan people, an Indigenous Dene group traditionally inhabiting parts of northern Canada.
  • B. Danuše
    Danuše is a Czech female given name, of which Dana is a common shortened form.
  • C. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • D. Dane-zaa
    The Dane-zaa are an Indigenous First Nations people of the Peace River region in northwestern Canada, known for their Athabaskan language and rich hunting and trapping traditions.
  • E. Vardenik
    Vardenik is a mountain located in southeastern Serbia, known for its high peaks and scenic landscapes within the Balkan mountain system.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18dbda081908217dcb61cbf7ba4 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:13 p.m.