Triple
T23320135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lan Yu Yami |
E591127
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Yami language |
—
|
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: Yami language | Statement: [Lan Yu Yami, language, Yami language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yami language Context triple: [Lan Yu Yami, language, Yami language]
-
A.
Yami language
chosen
The Yami language is an Austronesian language spoken by the Tao (Yami) people of Orchid Island in Taiwan, known for preserving many archaic features within the Batanic subgroup.
-
B.
Badimaya language
Badimaya language is an Australian Aboriginal language traditionally spoken by the Yamatji people of Western Australia.
-
C.
Sayawa language
The Sayawa language is a Chadic language spoken primarily by the Sayawa people in Bauchi State, northeastern Nigeria.
-
D.
Tai Yo language
The Tai Yo language is a Southwestern Tai language spoken by the Tai Yo ethnic group in parts of Vietnam, Laos, and Thailand.
-
E.
Salt-Yui language
The Salt-Yui language is a Papuan language spoken by the Chimbu people of Papua New Guinea.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978440888190b316664812105d60 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.