Triple

T8295153
Position Surface form Disambiguated ID Type / Status
Subject Five Dynasties and Ten Kingdoms period E194196 entity
Predicate hasPart P35 FINISHED
Object Jingnan
Jingnan was a small regional kingdom in south-central China that existed during the Five Dynasties and Ten Kingdoms period.
E763848 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: Jingnan | Statement: [Five Dynasties and Ten Kingdoms period, hasPart, Jingnan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jingnan
Context triple: [Five Dynasties and Ten Kingdoms period, hasPart, Jingnan]
  • A. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • B. Huangchu
    Huangchu was the first era name of the Cao Wei state during China’s Three Kingdoms period, marking the early reign of Emperor Cao Pi.
  • C. 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.
  • D. Huangwu
    Huangwu was a regnal era title used by Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
  • E. Huai-an
    Huai-an is an older romanized spelling of Huaian, a prefecture-level city in Jiangsu Province, China, known for its historical significance and canal-based waterways.
  • 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: Jingnan
Triple: [Five Dynasties and Ten Kingdoms period, hasPart, Jingnan]
Generated description
Jingnan was a small regional kingdom in south-central China that existed during the Five Dynasties and Ten Kingdoms period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jingnan
Target entity description: Jingnan was a small regional kingdom in south-central China that existed during the Five Dynasties and Ten Kingdoms period.
  • A. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • B. Huangchu
    Huangchu was the first era name of the Cao Wei state during China’s Three Kingdoms period, marking the early reign of Emperor Cao Pi.
  • C. 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.
  • D. Huangwu
    Huangwu was a regnal era title used by Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
  • E. Huai-an
    Huai-an is an older romanized spelling of Huaian, a prefecture-level city in Jiangsu Province, China, known for its historical significance and canal-based waterways.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df73d4c81909ad9cf0786eb5a20 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab01c58c81909148dacad2dc7667 completed April 3, 2026, 11:56 a.m.
NEDg Description generation batch_69cfac76d0f8819090c2bff520db52f4 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad04e514819084bf30b8f026c031 completed April 3, 2026, 12:05 p.m.
Created at: March 30, 2026, 5:52 p.m.