Triple

T16138658
Position Surface form Disambiguated ID Type / Status
Subject Tongzhi Emperor E391595 entity
Predicate reignName P32785 FINISHED
Object Tongzhi E391595 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: Tongzhi | Statement: [Tongzhi Emperor, reignName, Tongzhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tongzhi
Context triple: [Tongzhi Emperor, reignName, Tongzhi]
  • A. Tongzhi Emperor chosen
    The Tongzhi Emperor was a Qing dynasty ruler of China who reigned from 1861 to 1875 under the regency of his mother, Empress Dowager Cixi, during a period of internal rebellion and foreign pressure.
  • B. Zhizheng
    Zhizheng was the final era name of the Yuan dynasty in China, marking the last phase of Mongol rule before the rise of the Ming.
  • C. Puyi
    Puyi was the last emperor of China and later the puppet ruler of Japanese-controlled Manchukuo during the early 20th century.
  • D. Prince Chun of the Qing dynasty
    Prince Chun of the Qing dynasty was a high-ranking Manchu noble and statesman who served as regent during the late Qing period, overseeing government affairs in the name of the young emperor.
  • E. Yuanpei
    Yuanpei is the given name of Cai Yuanpei, a prominent Chinese educator and reformer who served as president of Peking University in the early 20th century.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b574148190b9d5b725d7d113af completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.