Triple

T19203652
Position Surface form Disambiguated ID Type / Status
Subject Yangqing Jia E480174 entity
Predicate employer P7 FINISHED
Object Alibaba 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: Alibaba | Statement: [Yangqing Jia, employer, Alibaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alibaba
Context triple: [Yangqing Jia, employer, Alibaba]
  • 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. Alibaba.com
    Alibaba.com is a leading global online business-to-business (B2B) marketplace that connects suppliers, primarily manufacturers and wholesalers, with buyers around the world.
  • C. Ant Group
    Ant Group is a Chinese fintech giant best known for operating the Alipay mobile payment platform and providing a wide range of digital financial services.
  • D. 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.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99b37c081908c13e0b4cca52aa4 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:15 p.m.