Triple
T12661396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Keqiang |
E302432
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 李克强 |
E54117
|
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: 李克强 | Statement: [Li Keqiang, nativeName, 李克强]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 李克强 Context triple: [Li Keqiang, nativeName, 李克强]
-
A.
Li Keqiang
chosen
Li Keqiang was a Chinese economist and politician who served as the Premier of the People's Republic of China from 2013 to 2023.
-
B.
Wen Jiabao
Wen Jiabao is a Chinese politician who served as Premier of the People's Republic of China from 2003 to 2013.
-
C.
Zhu Yunlai
Zhu Yunlai is a Chinese banker and businessman, best known as the son of former Chinese premier Zhu Rongji and for his leadership roles in China’s financial sector.
-
D.
Han Zheng
Han Zheng is a Chinese politician and senior leader in the Communist Party of China who has held top roles in both national and Shanghai municipal governance.
-
E.
Wang Qishan
Wang Qishan is a prominent Chinese politician best known for leading Xi Jinping’s sweeping anti-corruption campaign as head of the Communist Party’s top disciplinary body.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688819fc8190bc03a1a11f96d25f |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:19 p.m.