Triple

T12661394
Position Surface form Disambiguated ID Type / Status
Subject Li Keqiang E302432 entity
Predicate givenName P17 FINISHED
Object Keqiang E302432 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: Keqiang | Statement: [Li Keqiang, givenName, Keqiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keqiang
Context triple: [Li Keqiang, givenName, Keqiang]
  • A. Keqiang chosen
    Keqiang is the given name of Li Keqiang, who served as the Premier of the People's Republic of China from 2013 to 2023.
  • B. Wenzhong
    Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
  • C. Ko Sichang
    Ko Sichang is a small island in the Gulf of Thailand known for its relaxed atmosphere, historic royal sites, and scenic coastal views.
  • D. Zhengping
    Zhengping is a Chinese given name commonly used for males and composed of characters that often convey meanings related to righteousness and peace.
  • E. Qian
    Qian is a common Chinese surname and given name whose spelling in the Latin alphabet follows the Hanyu Pinyin romanization system.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688819fc8190bc03a1a11f96d25f completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:19 p.m.