Triple

T1498512
Position Surface form Disambiguated ID Type / Status
Subject Nanjing E29741 entity
Predicate historicalName P65 FINISHED
Object Jiankang
Jiankang is the historical name of the Chinese city now known as Nanjing, which served as a major political and cultural center during several dynasties.
 E170345 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: Jiankang | Statement: [Nanjing, historicalName, Jiankang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jiankang
Context triple: [Nanjing, historicalName, Jiankang]
  • A. Zhenjin
    Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
  • B. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Kaihui
    Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
  • E. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • 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: Jiankang
Triple: [Nanjing, historicalName, Jiankang]
Generated description
Jiankang is the historical name of the Chinese city now known as Nanjing, which served as a major political and cultural center during several dynasties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jiankang
Target entity description: Jiankang is the historical name of the Chinese city now known as Nanjing, which served as a major political and cultural center during several dynasties.
  • A. Zhenjin
    Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
  • B. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Kaihui
    Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
  • E. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ef5ce88190a6b520525a6d42a3 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cb19b708190a28b1a0037860202 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1db1c6008190bbe61bad1a2a7e72 completed March 8, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69ad1e1e9fa081909201036f686fa110 completed March 8, 2026, 6:58 a.m.
Created at: March 1, 2026, 8:12 p.m.