Triple

T10778549
Position Surface form Disambiguated ID Type / Status
Subject Dene Suline E254257 entity
Predicate alternativeName P39 FINISHED
Object Chipewyan E93010 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: Chipewyan | Statement: [Dene Suline, alternativeName, Chipewyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chipewyan
Context triple: [Dene Suline, alternativeName, Chipewyan]
  • A. Chipewyan chosen
    Chipewyan is an Athabaskan Indigenous language traditionally spoken by the Dene people of northern Canada.
  • 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. Athabaskan
    Athabaskan is a large family of indigenous languages of North America, spoken primarily in Alaska, northwestern Canada, and the American Southwest.
  • D. Tutchone language
    The Tutchone language is an Indigenous Northern Athabaskan language spoken by the Tutchone people of central Yukon in Canada.
  • E. 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.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c25478819093dedec0c8556777 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55e9fe2081909acbfba7a65be18e completed April 14, 2026, 2:57 p.m.
Created at: April 8, 2026, 9:16 p.m.