Triple

T8186181
Position Surface form Disambiguated ID Type / Status
Subject Emperor Ling of Han E191188 entity
Predicate eraNameIntroduced P2938 FINISHED
Object Zhongping E746417 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: Zhongping | Statement: [Emperor Ling of Han, eraNameIntroduced, Zhongping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhongping
Context triple: [Emperor Ling of Han, eraNameIntroduced, Zhongping]
  • A. Zhongping chosen
    Zhongping was an era name used during the later years of Emperor Ling’s rule in the Eastern Han dynasty of China.
  • B. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • C. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • D. Yongcheng
    Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7266bc148190984060b7b95effb5 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf27abf324819098bd6ecfd5a4d8cc completed April 3, 2026, 2:36 a.m.
Created at: March 30, 2026, 5:41 p.m.