Triple

T6321411
Position Surface form Disambiguated ID Type / Status
Subject Zhenjin E141746 entity
Predicate givenName P17 FINISHED
Object Zhenjin E141746 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: Zhenjin | Statement: [Zhenjin, givenName, Zhenjin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhenjin
Context triple: [Zhenjin, givenName, Zhenjin]
  • A. Zhenjin chosen
    Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
  • B. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • C. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • D. Shëngjin
    Shëngjin is a coastal town and port in northwestern Albania on the Adriatic Sea, historically significant for its strategic maritime position.
  • E. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c76dfc8190a1d44fd0c4402a0e completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d33d70c8190af6acdf5158f9067 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:29 p.m.