Triple
T15660812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sifayuan |
E376560
|
entity |
| Predicate | transliteratedAs |
P5923
|
FINISHED |
| Object |
Sīfǎ Yuàn
Sīfǎ Yuàn is the Mandarin Chinese term for the Judicial Yuan, the highest judicial organ of the government in Taiwan (Republic of China).
|
E1169725
|
NE FINISHED |
How this triple was built (4 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: Sīfǎ Yuàn | Statement: [Sifayuan, transliteratedAs, Sīfǎ Yuàn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sīfǎ Yuàn Context triple: [Sifayuan, transliteratedAs, Sīfǎ Yuàn]
-
A.
Xingzhen
Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
-
B.
Fusui Zhuang
Fusui Zhuang is a variety of the Zhuang language spoken by the Zhuang people in the Fusui region of Guangxi, southern China.
-
C.
Xingyuan
Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
-
D.
Da Yuan
Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
-
E.
Shangyuan
Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sīfǎ Yuàn Triple: [Sifayuan, transliteratedAs, Sīfǎ Yuàn]
Generated description
Sīfǎ Yuàn is the Mandarin Chinese term for the Judicial Yuan, the highest judicial organ of the government in Taiwan (Republic of China).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sīfǎ Yuàn Target entity description: Sīfǎ Yuàn is the Mandarin Chinese term for the Judicial Yuan, the highest judicial organ of the government in Taiwan (Republic of China).
-
A.
Xingzhen
Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
-
B.
Fusui Zhuang
Fusui Zhuang is a variety of the Zhuang language spoken by the Zhuang people in the Fusui region of Guangxi, southern China.
-
C.
Xingyuan
Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
-
D.
Da Yuan
Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
-
E.
Shangyuan
Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
- F. None of above. chosen
Provenance (5 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef4e6a08190ad8bbafaa3612f22 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff679e0f2c8190bbcb7051c38e1580 |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff68cfffd881908576c04e3eeb22a8 |
completed | May 9, 2026, 5:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff69660b6c819082dbdf06db1c8fe3 |
completed | May 9, 2026, 5:05 p.m. |
Created at: April 10, 2026, 4:15 a.m.