Triple

T15347062
Position Surface form Disambiguated ID Type / Status
Subject Dene languages E366948 entity
Predicate hasMember P10 FINISHED
Object Chipewyan language 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 language | Statement: [Dene languages, hasMember, Chipewyan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chipewyan language
Context triple: [Dene languages, hasMember, Chipewyan language]
  • 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. Tutchone language
    The Tutchone language is an Indigenous Northern Athabaskan language spoken by the Tutchone people of central Yukon in Canada.
  • D. 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.
  • E. Tanaina language
    Tanaina language is an Athabaskan language traditionally spoken by the Dena’ina people of south-central Alaska, particularly around Cook Inlet.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f931408190828d87567cecaceb completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.