Triple
T21605508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyako language |
E533159
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Ikema dialect |
—
|
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: Ikema dialect | Statement: [Miyako language, hasDialect, Ikema dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikema dialect Context triple: [Miyako language, hasDialect, Ikema dialect]
-
A.
Ikema dialect
chosen
The Ikema dialect is a distinct variety of the Miyakoan (Ryukyuan) language spoken by the island community of Ikema-jima in Okinawa, Japan.
-
B.
Kikai dialect
The Kikai dialect is a regional variety of the Amami language spoken on Kikai Island in Japan’s Ryukyu archipelago.
-
C.
Kamia dialect
The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
-
D.
Raijua dialect
The Raijua dialect is a regional variety of the Sawu language spoken on Raijua Island in eastern Indonesia, distinguished by its own phonological and lexical features.
-
E.
Tomia dialect
The Tomia dialect is a regional variety of the Tukang Besi language spoken on Tomia Island in Southeast Sulawesi, Indonesia.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e4a8088190bf51ab2af2369762 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.