Triple

T10110503
Position Surface form Disambiguated ID Type / Status
Subject WeChat E218225 entity
Predicate ownedBy P347 FINISHED
Object Tencent E100247 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: Tencent | Statement: [WeChat, ownedBy, Tencent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tencent
Context triple: [WeChat, ownedBy, Tencent]
  • A. Tencent chosen
    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.
  • B. 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.
  • C. Tencent Pictures
    Tencent Pictures is the film production and distribution arm of Chinese tech giant Tencent, known for co-financing and producing major Chinese and international movies.
  • D. Alibaba Group
    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.
  • E. 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.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0cf39908190bba679ace095eefc completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e59ec83c8190a79fbb0d0de90310 completed April 5, 2026, 10:43 p.m.
Created at: March 30, 2026, 9:03 p.m.