Triple
T18698627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaihuang |
E457186
|
entity |
| Predicate | ChineseNameSimplified |
P6283
|
FINISHED |
| Object | 开皇 |
—
|
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: 开皇 | Statement: [Kaihuang, ChineseNameSimplified, 开皇]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 开皇 Context triple: [Kaihuang, ChineseNameSimplified, 开皇]
-
A.
皇建
皇建 is a Chinese given name that can be used for people or historical figures in Chinese-speaking contexts.
-
B.
建武
建武 is the Japanese era name (nengō) used during the Kemmu period in the early 14th century, associated with Emperor Go-Daigo’s brief restoration of imperial rule.
-
C.
Kaihuang
chosen
Kaihuang was the inaugural era name of Emperor Wen of the Sui dynasty, marking a period of political consolidation and major reforms in early imperial China.
-
D.
太祖
太祖 is the posthumous temple name honoring Tang of Shang, the founding king of China’s Shang dynasty.
-
E.
Emperor Wen of Sui
Emperor Wen of Sui was the first emperor of China’s Sui dynasty, known for reunifying the country after centuries of division and implementing major political and economic reforms.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e984988190ae902d41edd8faff |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.