Triple
T20441378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chih-chung |
E501399
|
entity |
| Predicate | romanizes |
P2508
|
FINISHED |
| Object | Zhizhong |
—
|
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: Zhizhong | Statement: [Chih-chung, romanizes, Zhizhong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhizhong Context triple: [Chih-chung, romanizes, Zhizhong]
-
A.
Zhizhong
chosen
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
B.
Wenzhong
Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
-
C.
Xinzhu
Xinzhu is a city that serves as a sister city to Bielefeld, Germany, and is likely a regional urban center with cultural and economic significance.
-
D.
Xingyuan
Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
-
E.
Zicheng
Zicheng is the courtesy name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f2e8888190a2e0d6b2bf6c905d |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.