Triple
T4856335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawaiisu language |
E108544
|
entity |
| Predicate | hasGlottologName |
P6521
|
FINISHED |
| Object | Kawaiisu |
E143422
|
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: Kawaiisu | Statement: [Kawaiisu language, hasGlottologName, Kawaiisu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawaiisu Context triple: [Kawaiisu language, hasGlottologName, Kawaiisu]
-
A.
Kawaiisu
chosen
Kawaiisu is a Native American people and their Uto-Aztecan language traditionally spoken in the southern Sierra Nevada and Tehachapi Mountains of California.
-
B.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
C.
Miyazu
Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
-
D.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
E.
Sonamura
Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d3df75c8190830e2c927cc5a4f8 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77907130819084dc6a5eaff42a27 |
completed | March 21, 2026, 10:48 a.m. |
Created at: March 20, 2026, 1:26 p.m.