Triple

T23166107
Position Surface form Disambiguated ID Type / Status
Subject Yuan Dadu E578714 entity
Predicate predecessorSettlement P3028 FINISHED
Object Zhongdu 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: Zhongdu | Statement: [Yuan Dadu, predecessorSettlement, Zhongdu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhongdu
Context triple: [Yuan Dadu, predecessorSettlement, Zhongdu]
  • A. Zhongdu chosen
    Zhongdu was the historical capital city of the Jurchen-led Jin dynasty in northern China, located in what is now part of modern Beijing.
  • B. Tiāntán
    Tiāntán is the Chinese pinyin name for the Temple of Heaven, a historic imperial religious complex in Beijing where Ming and Qing dynasty emperors performed annual ceremonies to pray for good harvests.
  • C. Tân An
    Tân An is a city in southern Vietnam that serves as an administrative, economic, and cultural hub in the Mekong Delta region.
  • D. Changge City
    Changge City is a county-level city in central China's Henan Province, administered by the prefecture-level city of Xuchang and known for its manufacturing and agricultural industries.
  • E. Xinzheng
    Xinzheng is a county-level city in central China's Henan Province, known as part of the Zhengzhou metropolitan area and as the site of Zhengzhou Xinzheng International Airport.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2bca4881909f6148d588948018 completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:03 p.m.