Triple

T3788119
Position Surface form Disambiguated ID Type / Status
Subject Xiongnu E85577 entity
Predicate capital P234 FINISHED
Object Longcheng
Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
E389351 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: Longcheng | Statement: [Xiongnu, capital, Longcheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longcheng
Context triple: [Xiongnu, capital, Longcheng]
  • A. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • B. Yongli
    Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
  • C. Longqing
    Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
  • D. Da Yuan
    Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
  • 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: Longcheng
Triple: [Xiongnu, capital, Longcheng]
Generated description
Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Longcheng
Target entity description: Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • A. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • B. Yongli
    Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
  • C. Longqing
    Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
  • D. Da Yuan
    Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee42f4dd08190be10d0113aab4249 completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05031cc8190825105f77dd76438 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f4f80f4c8190890dae6770d10d4d completed March 14, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69b4f55f53ec8190a5f9cf6d494e75dd completed March 14, 2026, 5:42 a.m.
Created at: March 9, 2026, 3:13 p.m.