Triple

T15347059
Position Surface form Disambiguated ID Type / Status
Subject Dene languages E366948 entity
Predicate hasMember P10 FINISHED
Object Kaska language E350870 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: Kaska language | Statement: [Dene languages, hasMember, Kaska language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaska language
Context triple: [Dene languages, hasMember, Kaska language]
  • A. Kaska language chosen
    The Kaska language is an Indigenous Northern Athabaskan language spoken by the Kaska Dena people of the Yukon and northern British Columbia in Canada.
  • B. Ktunaxa language
    Ktunaxa language is an isolate Indigenous language spoken by the Ktunaxa (Kutenai) people of the Pacific Northwest region of North America, primarily in southeastern British Columbia and parts of the northwestern United States.
  • C. Teke-Kukuya language
    The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
  • D. Atikamek language
    The Atikamek language is an Algonquian Indigenous language spoken by the Atikamekw people of Quebec, Canada.
  • E. Teke-Kega language
    The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
  • 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.