Triple
T21653459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonaguni language |
E534397
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Yonaguni-go |
—
|
NE NERFINISHED |
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: Yonaguni-go | Statement: [Yonaguni language, alternativeName, Yonaguni-go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yonaguni-go Context triple: [Yonaguni language, alternativeName, Yonaguni-go]
-
A.
Yonaguni Town
Yonaguni Town is a remote Japanese municipality in Okinawa Prefecture, best known as the country’s westernmost inhabited area and for its distinctive subtropical island culture and landscapes.
-
B.
Yonaguni
chosen
Yonaguni is a Ryukyuan language spoken primarily on Yonaguni Island in Japan’s Okinawa Prefecture.
-
C.
Yumenoshima
Yumenoshima is a reclaimed island in Tokyo Bay known for its parks, sports and recreational facilities, and former landfill history.
-
D.
Yonabaru
Yonabaru is a coastal town in Okinawa Prefecture, Japan, known as part of the greater Naha metropolitan area.
-
E.
Meerufenfushi
Meerufenfushi is a small, picturesque resort island in the Maldives known for its white-sand beaches, clear turquoise waters, and overwater bungalows.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59164fe081908abd2e33dcd67def |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.