Triple
T19749393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 马云 |
E474337
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | 阿里巴巴集团 |
—
|
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: 阿里巴巴集团 | Statement: [马云, founded, 阿里巴巴集团]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 阿里巴巴集团 Context triple: [马云, founded, 阿里巴巴集团]
-
A.
Alibaba Group
chosen
Alibaba Group is a Chinese multinational conglomerate specializing in e-commerce, retail, internet, and technology, best known for operating major online marketplaces like Taobao and Tmall.
-
B.
商汤
商汤是中国商朝的开国君主，以推翻夏朝建立商朝而闻名于史书。
-
C.
Cainiao Network
Cainiao Network is a Chinese logistics and supply chain company that provides technology-driven delivery and fulfillment services for e-commerce, particularly supporting Alibaba’s online marketplaces.
-
D.
Tencent
Tencent is a Chinese multinational technology and entertainment conglomerate known for its dominant social media, gaming, and digital services platforms such as WeChat and QQ.
-
E.
Sina Corporation
Sina Corporation is a Chinese technology company best known for operating major online media and social networking platforms, including the popular microblogging service Weibo.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65296fa80819085aa4a18153531cf |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.