Triple

T14084785
Position Surface form Disambiguated ID Type / Status
Subject Governor-General of Liangguang E338962 entity
Predicate officeHeldBy P537 FINISHED
Object Qiying E291425 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: Qiying | Statement: [Governor-General of Liangguang, officeHeldBy, Qiying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qiying
Context triple: [Governor-General of Liangguang, officeHeldBy, Qiying]
  • A. Qiying chosen
    Qiying was a Qing dynasty statesman and diplomat who played a key role in negotiating several unequal treaties with Western powers in the mid-19th century.
  • B. Xingqing
    Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
  • C. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • D. Juyi
    Juyi is the given name of Bai Juyi, a renowned Tang dynasty Chinese poet celebrated for his accessible style and social commentary.
  • E. Chunjie
    Chunjie is the Chinese Spring Festival, the most important traditional holiday in China marking the Lunar New Year with family reunions, feasts, and cultural celebrations.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb676620481908ed2fa5687a21866 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.