Triple
T21943224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qieyun |
E541871
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | 切韻 |
—
|
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: 切韻 | Statement: [Qieyun, alternativeName, 切韻]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 切韻 Context triple: [Qieyun, alternativeName, 切韻]
-
A.
Kangxi Dictionary
The Kangxi Dictionary is an authoritative Qing dynasty Chinese character dictionary, renowned for its comprehensive coverage and lasting influence on Chinese lexicography.
-
B.
詩經
詩經 is the oldest existing collection of Chinese poetry, comprising ancient songs and verses that have profoundly influenced Chinese literature and Confucian thought.
-
C.
Zhuyin
Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
-
D.
尚書
尚書 is one of the Five Classics of ancient Chinese literature, consisting of a collection of historical documents and speeches attributed to early Chinese rulers and officials.
-
E.
Guangyun
chosen
Guangyun is an 11th-century Chinese rime dictionary that serves as a major source for reconstructing the phonology of Middle Chinese.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242515ec8190b015bf8c7b13be85 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.