Triple
T14062052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhizheng |
E338369
|
entity |
| Predicate | endTime |
P214
|
FINISHED |
| Object | Zhizheng 30 |
E338369
|
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: Zhizheng 30 | Statement: [Zhizheng, endTime, Zhizheng 30]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhizheng 30 Context triple: [Zhizheng, endTime, Zhizheng 30]
-
A.
Shengzhi
Shengzhi is the given name of Tang Shengzhi, a prominent Chinese Nationalist general active during the early 20th century.
-
B.
Zhongxiao Xinsheng
Zhongxiao Xinsheng is a key Taipei Metro station in central Taipei that serves as an important transfer point between multiple subway lines.
-
C.
Zhongxun
Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
-
D.
Zhizheng
chosen
Zhizheng was the final era name of the Yuan dynasty in China, marking the last phase of Mongol rule before the rise of the Ming.
-
E.
Hongzhi Zhengjue
Hongzhi Zhengjue was a prominent 12th-century Chinese Chan master of the Caodong school, best known for developing and teaching the practice of silent illumination meditation.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568876308190840361dcaf10bd45 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6654850819083262f3fb981eb1a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.