Triple

T3795215
Position Surface form Disambiguated ID Type / Status
Subject Jin dynasty E89753 entity
Predicate capital P234 FINISHED
Object Shangjing
Shangjing was the principal early capital city of China’s Jurchen-led Jin dynasty, serving as a key political and administrative center in northeastern China.
 E392282 NE FINISHED

How this triple was built (4 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: Shangjing | Statement: [Jin dynasty, capital, Shangjing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shangjing
Context triple: [Jin dynasty, capital, Shangjing]
  • A. Haojing
    Haojing was the primary western capital city of the early Zhou dynasty in ancient China, located near present-day Xi’an.
  • B. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • C. Longcheng
    Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • D. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shangjing
Triple: [Jin dynasty, capital, Shangjing]
Generated description
Shangjing was the principal early capital city of China’s Jurchen-led Jin dynasty, serving as a key political and administrative center in northeastern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shangjing
Target entity description: Shangjing was the principal early capital city of China’s Jurchen-led Jin dynasty, serving as a key political and administrative center in northeastern China.
  • A. Haojing
    Haojing was the primary western capital city of the early Zhou dynasty in ancient China, located near present-day Xi’an.
  • B. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • C. Longcheng
    Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • D. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • 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. chosen

Provenance (5 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79db2e88190b3aa2b8e8d885e19 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503eef20c8190ad7906275b4b0e67 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50531b7bc81909a665ebf574a6376 completed March 14, 2026, 6:50 a.m.
NED2 Entity disambiguation (via description) batch_69b505610afc8190a6f93be29a19b3ad completed March 14, 2026, 6:51 a.m.
Created at: March 9, 2026, 3:15 p.m.