Triple

T21171301
Position Surface form Disambiguated ID Type / Status
Subject Wang Yangming E521696 entity
Predicate courtesyName P570 FINISHED
Object Bo'an 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: Bo'an | Statement: [Wang Yangming, courtesyName, Bo'an]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bo'an
Context triple: [Wang Yangming, courtesyName, Bo'an]
  • A. Bo'an chosen
    Bo'an is the courtesy name of Wang Yangming, the influential Ming dynasty philosopher, statesman, and Neo-Confucian thinker.
  • B. Xin'an
    Xin'an is the historical name of the region now known as Huizhou in Guangdong, China, reflecting its earlier administrative and cultural identity.
  • C. Xin’an
    Xin’an is the former name of Nantou, a historic town in Shenzhen, China, that once served as an important administrative and commercial center in the region.
  • D. Yongcong
    Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
  • E. Jianning
    Jianning was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7271351f08190b609a6c280c9a02a completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.