Triple
T12074640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaili |
E287514
|
entity |
| Predicate | hasMinorityLanguage |
P2267
|
FINISHED |
| Object | Miao languages |
E184499
|
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: Miao languages | Statement: [Kaili, hasMinorityLanguage, Miao languages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miao languages Context triple: [Kaili, hasMinorityLanguage, Miao languages]
-
A.
Miao languages
chosen
The Miao languages are a group of Hmong-Mien (Miao-Yao) languages spoken primarily by the Miao people across southern China and parts of Southeast Asia.
-
B.
Guan languages
The Guan languages are a group of related Niger-Congo languages spoken primarily in Ghana and neighboring parts of West Africa.
-
C.
Chimuan languages
The Chimuan languages are an extinct group of pre-Columbian languages once spoken along the northern coast of Peru, most notably associated with the Chimú civilization.
-
D.
Zhuang language
The Zhuang language is a Tai-Kadai language spoken primarily by the Zhuang ethnic group in Guangxi and surrounding regions of southern China.
-
E.
Mao languages
The Mao languages are a small group of closely related Omotic languages spoken primarily in western Ethiopia.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045bbc508190abf6e3316701e587 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f65ed5908190a0082796366a8825 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.