Triple
T16867466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Káⁿza |
E410079
|
entity |
| Predicate | endonymFor |
P1435
|
FINISHED |
| Object | Kaw language |
E410078
|
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: Kaw language | Statement: [Káⁿza, endonymFor, Kaw language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaw language Context triple: [Káⁿza, endonymFor, Kaw language]
-
A.
Kaw language
chosen
The Kaw language is a nearly extinct Siouan language traditionally spoken by the Kaw (Kansa) people of the central United States.
-
B.
Akawaio language
The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
-
C.
Kawaiisu language
Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
-
D.
Kawesqar language
The Kawesqar language is an endangered indigenous language of the Kawesqar people of southern Chile, traditionally spoken by seafaring communities in the Patagonian channels and fjords.
-
E.
Kayabí language
The Kayabí language is an indigenous Tupian language spoken by the Kayabí people of Brazil, known for its role in preserving their cultural and linguistic heritage.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50983148190a116f7e7017ccb1c |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2aba8c481908f5ff1ddc4b255cb |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.