Triple
T18626496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shēnzhèn Wān Tǐyù Zhōngxīn |
E455298
|
entity |
| Predicate | pinyinName |
P9333
|
FINISHED |
| Object | Shēnzhèn Wān Tǐyù Zhōngxīn |
—
|
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: Shēnzhèn Wān Tǐyù Zhōngxīn | Statement: [Shēnzhèn Wān Tǐyù Zhōngxīn, pinyinName, Shēnzhèn Wān Tǐyù Zhōngxīn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shēnzhèn Wān Tǐyù Zhōngxīn Context triple: [Shēnzhèn Wān Tǐyù Zhōngxīn, pinyinName, Shēnzhèn Wān Tǐyù Zhōngxīn]
-
A.
Shēnzhèn Wān Tǐyù Zhōngxīn
chosen
Shēnzhèn Wān Tǐyù Zhōngxīn is a large, modern multi-purpose sports complex in Shenzhen, China, known for hosting major sporting events and concerts.
-
B.
Zhongxun
Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
-
C.
Zhonghe Dian
Zhonghe Dian is a ceremonial hall within Beijing’s Forbidden City, historically used by the emperor for preparations and brief audiences before major imperial rituals.
-
D.
Xijie
Xijie was the personal name of Empress Xiaoduanxian, a Ming dynasty empress consort of the Wanli Emperor in China.
-
E.
Hunan Shida
Hunan Shida is the commonly used abbreviated name for Hunan Normal University, a major teacher-training institution in Hunan Province, China.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f04d0cc81909c3c6022c5dfdb63 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.