Triple
T14002831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Lawrence Island Yupik |
E336872
|
entity |
| Predicate | autonymLanguageName |
P1435
|
FINISHED |
| Object | Yuit |
E1034885
|
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: Yuit | Statement: [St. Lawrence Island Yupik, autonymLanguageName, Yuit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuit Context triple: [St. Lawrence Island Yupik, autonymLanguageName, Yuit]
-
A.
Yuit
chosen
Yuit is the self-designation of the Central Siberian Yupik people, an Indigenous group native to the Bering Strait region of Siberia and Alaska.
-
B.
Yua
Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
-
C.
Uzynagash
Uzynagash is a rural settlement in southeastern Kazakhstan that serves as a local center within the Almaty Region.
-
D.
Yutenji
Yutenji is a residential neighborhood in Tokyo’s Meguro Ward known for its historic Yutenji Temple and local shopping streets.
-
E.
Yoboki
Yoboki is a small town in Djibouti located within the Dikhil Region, known for its arid landscape and role as a local administrative and trading center.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed06a50819093ddc64f55050689 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca180988190bbfc93bd708688d6 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.