Triple
T16076043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dënesųłiné |
E389981
|
entity |
| Predicate | hasAutonym |
P1435
|
FINISHED |
| Object | Dënesųłiné |
E389981
|
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: Dënesųłiné | Statement: [Dënesųłiné, hasAutonym, Dënesųłiné]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dënesųłiné Context triple: [Dënesųłiné, hasAutonym, 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 (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.