Triple

T16076074
Position Surface form Disambiguated ID Type / Status
Subject Dënesųłiné E389981 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Dane-zaa E508840 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: Dane-zaa | Statement: [Dënesųłiné, relatedEthnicGroup, Dane-zaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dane-zaa
Context triple: [Dënesųłiné, relatedEthnicGroup, Dane-zaa]
  • A. Dane-zaa chosen
    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.
  • B. Denendeh
    Denendeh is the traditional homeland of the Dene people in Canada’s Northwest Territories, encompassing their cultural, historical, and political territory.
  • C. Miantonomo
    Miantonomo was a prominent 17th-century Narragansett sachem known for his leadership in regional conflicts and diplomacy in New England.
  • D. Dakelh
    Dakelh is an Athabaskan Indigenous people of central British Columbia, Canada, with a distinct culture, history, and language.
  • E. Nisamehe
    "Nisamehe" is a popular Tanzanian Bongo Flava song by singer Zuchu, known for its emotional lyrics and melodic style.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c27aac81909c56d200c0c51a0c completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48715e48190a493d1e373dc7c5f completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.