Triple
T13427330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaqui language |
E313515
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Hiaki |
E563840
|
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: Hiaki | Statement: [Yaqui language, nativeName, Hiaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiaki Context triple: [Yaqui language, nativeName, Hiaki]
-
A.
Hiaki
chosen
Hiaki is the endonym used by the Yaqui people to refer to themselves and their language, an Indigenous group primarily from the Sonoran region of Mexico and the southwestern United States.
-
B.
Yahata
Yahata was a former city in Fukuoka Prefecture, Japan, that became part of the larger city of Kitakyushu through municipal merger.
-
C.
Hayakita
Hayakita is a town in Hokkaido, Japan, known as a small rural community situated near the city of Sapporo.
-
D.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
E.
Ukiha
Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed1f9208190bf5ef5b8a7ded376 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398984f48190adaa1963d261d538 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.