Triple
T5455080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 宋子文 |
E122459
|
entity |
| Predicate | 出生地 |
P1
|
FINISHED |
| Object | 中国上海 |
E5256
|
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: 中国上海 | Statement: [宋子文, 出生地, 中国上海]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 中国上海 Context triple: [宋子文, 出生地, 中国上海]
-
A.
Shanghai Guoji Saichechang
Shanghai Guoji Saichechang is a major motorsport race track in Shanghai, China, best known for hosting the Formula One Chinese Grand Prix.
-
B.
Shenzhen, China
Shenzhen, China is a major southern Chinese metropolis known for its rapid transformation into a global technology and manufacturing hub bordering Hong Kong.
-
C.
Canton, China
Canton, China is the former English name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
D.
Shanghai
chosen
Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
-
E.
Shanghai
Shanghai is a major Ethereum network upgrade that introduced key changes such as enabling staked ETH withdrawals and improving the protocol’s efficiency and flexibility.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ed9a388190967e7ffaf9dbadc6 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf41433abc8190998bdb0fa8b18041 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:08 p.m.