Triple

T4970197
Position Surface form Disambiguated ID Type / Status
Subject Fuyang E111629 entity
Predicate hasCountyLevelCity P27799 FINISHED
Object Jieshou
Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
 E484464 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: Jieshou | Statement: [Fuyang, hasCountyLevelCity, Jieshou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jieshou
Context triple: [Fuyang, hasCountyLevelCity, Jieshou]
  • A. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • B. Shëngjin
    Shëngjin is a coastal town and port in northwestern Albania on the Adriatic Sea, historically significant for its strategic maritime position.
  • C. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • D. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • E. 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.
  • 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: Jieshou
Triple: [Fuyang, hasCountyLevelCity, Jieshou]
Generated description
Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jieshou
Target entity description: Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
  • A. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • B. Shëngjin
    Shëngjin is a coastal town and port in northwestern Albania on the Adriatic Sea, historically significant for its strategic maritime position.
  • C. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • D. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • E. 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.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd721221b88190916feb9b4f049195 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89fddbb8819084c8c21ee0ce845e completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8add3f148190a7ebe6df3a562b04 completed March 21, 2026, 12:11 p.m.
NED2 Entity disambiguation (via description) batch_69be8b57411c819082fe711485fe2821 completed March 21, 2026, 12:13 p.m.
Created at: March 20, 2026, 1:33 p.m.