Triple

T13666174
Position Surface form Disambiguated ID Type / Status
Subject Jin (state) E327125 entity
Predicate capital P234 FINISHED
Object Jiangzhou (絳州)
Jiangzhou (絳州) was an ancient Chinese city that served as the political and administrative center of the state of Jin during the Zhou dynasty period.
E1052638 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: Jiangzhou (絳州) | Statement: [Jin (state), capital, Jiangzhou (絳州)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiangzhou (絳州)
Context triple: [Jin (state), capital, Jiangzhou (絳州)]
  • A. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • B. Jingnan
    Jingnan was a small regional kingdom in south-central China that existed during the Five Dynasties and Ten Kingdoms period.
  • C. Weinan
    Weinan is a prefecture-level city in eastern Shaanxi Province, China, known for its historical sites and location near the Wei River.
  • D. Liyang
    Liyang is a county-level city in Jiangsu Province, China, known for its scenic attractions such as Tianmu Lake and its administration under the prefecture-level city of Changzhou.
  • E. Hongzhou
    Hongzhou was a prominent Tang dynasty Buddhist monk whose teachings gave rise to the influential Hongzhou school of Chan (Zen) Buddhism.
  • 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: Jiangzhou (絳州)
Triple: [Jin (state), capital, Jiangzhou (絳州)]
Generated description
Jiangzhou (絳州) was an ancient Chinese city that served as the political and administrative center of the state of Jin during the Zhou dynasty period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jiangzhou (絳州)
Target entity description: Jiangzhou (絳州) was an ancient Chinese city that served as the political and administrative center of the state of Jin during the Zhou dynasty period.
  • A. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • B. Jingnan
    Jingnan was a small regional kingdom in south-central China that existed during the Five Dynasties and Ten Kingdoms period.
  • C. Weinan
    Weinan is a prefecture-level city in eastern Shaanxi Province, China, known for its historical sites and location near the Wei River.
  • D. Liyang
    Liyang is a county-level city in Jiangsu Province, China, known for its scenic attractions such as Tianmu Lake and its administration under the prefecture-level city of Changzhou.
  • E. Hongzhou
    Hongzhou was a prominent Tang dynasty Buddhist monk whose teachings gave rise to the influential Hongzhou school of Chan (Zen) Buddhism.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc623fcc88190bbad97541c040b7a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0cfe0c8190b0fe50931e9788cf completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:52 p.m.