Triple
T14870606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaska |
E349732
|
entity |
| Predicate | hasGlottologName |
P6521
|
FINISHED |
| Object | Kaska |
E349732
|
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 | Statement: [Kaska, hasGlottologName, Kaska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaska Context triple: [Kaska, hasGlottologName, Kaska]
-
A.
Kaska
chosen
Kaska is an Athabaskan Indigenous language traditionally spoken by the Kaska Dena people of northern Canada, primarily in the Yukon and northern British Columbia.
-
B.
Kaswentha
Kaswentha, also known as the Two Row Wampum, is a foundational Haudenosaunee treaty belt symbolizing parallel coexistence and mutual respect between Indigenous peoples and European settlers.
-
C.
Kokama
Kokama are an Indigenous people of the western Amazon, primarily inhabiting regions of Peru, Brazil, and Colombia, known for their distinct Kokama language and riverine culture.
-
D.
Cri-Kee
Cri-Kee is the small, supposedly lucky cricket who serves as a comic sidekick and companion to Mulan in Disney's animated film "Mulan."
-
E.
Otomi
Otomi is an indigenous Oto-Manguean language spoken by the Otomi people across several states in central Mexico.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded57967748190a7c05ebb74aacb7c |
completed | April 15, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65129a588190bbad294b500f411f |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:55 a.m.