Triple

T6177395
Position Surface form Disambiguated ID Type / Status
Subject Xijing E137853 entity
Predicate associatedWith P37 FINISHED
Object Chang'an E155222 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: Chang'an | Statement: [Xijing, associatedWith, Chang'an]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chang'an
Context triple: [Xijing, associatedWith, Chang'an]
  • A. Chang'an chosen
    Chang'an was the ancient capital of several Chinese dynasties and a major political, cultural, and trade center along the Silk Road.
  • B. Đông Đô
    Đông Đô was a historical name for the city now known as Hanoi, which has long served as a major political and cultural center of Vietnam.
  • C. Yuan Dadu
    Yuan Dadu was the capital city of the Yuan dynasty in China, located on the site of present-day Beijing and serving as a major political and cultural center of the Mongol-ruled empire.
  • D. Zhongdu
    Zhongdu was the historical capital city of the Jurchen-led Jin dynasty in northern China, located in what is now part of modern Beijing.
  • E. Luoyang
    Luoyang is one of China’s oldest and most historically significant cities, renowned as an ancient imperial capital and cultural center along the Yellow River.
  • 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dc87bc48190834042d9c41d5b86 completed March 22, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243cbd38081909169c57c55696ff6 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:18 p.m.