Triple
T12749238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai Yai |
E304686
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Shan language |
E304687
|
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: Shan language | Statement: [Tai Yai, language, Shan language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shan language Context triple: [Tai Yai, language, Shan language]
-
A.
Shan language
chosen
Shan language is a Tai-Kadai language spoken primarily by the Shan people in Myanmar, with communities also in neighboring Thailand and China.
-
B.
Shina language
Shina language is an Indo-Aryan language primarily spoken by the Shina people in the mountainous regions of northern Pakistan and parts of neighboring areas.
-
C.
Chaoshan language
The Chaoshan language is a Southern Min Chinese variety spoken primarily in the Chaoshan region of eastern Guangdong, known for its distinct phonology and strong cultural identity among Teochew and Swatow communities.
-
D.
Shui language
The Shui language is a Kam–Sui (Kra–Dai) language spoken primarily by the Shui ethnic group in Guizhou Province, China.
-
E.
Rengma language
Rengma language is a Tibeto-Burman language spoken primarily by the Rengma Naga people in the northeastern region of India.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd75f508190aaae0969f33d1523 |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c964c508190b4d6a094b388280b |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.