Triple

T8173108
Position Surface form Disambiguated ID Type / Status
Subject Emperor Gaozong of Song E190872 entity
Predicate birthPlace P1 FINISHED
Object Bianjing E131801 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: Bianjing | Statement: [Emperor Gaozong of Song, birthPlace, Bianjing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bianjing
Context triple: [Emperor Gaozong of Song, birthPlace, Bianjing]
  • A. Kaifeng chosen
    Kaifeng is an ancient city in eastern Henan, China, historically significant as a former capital of several Chinese dynasties and a major cultural and economic center.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Dongjing
    Dongjing is the historical name for Kaifeng when it served as the capital of the Northern Song dynasty in China.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb48092b348190a37cb3746a434094 completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc917acf881908aa76d38d7b62e0d completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 5:39 p.m.