Triple

T1498513
Position Surface form Disambiguated ID Type / Status
Subject Nanjing E29741 entity
Predicate historicalName P65 FINISHED
Object Jianye
Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
 E190202 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: Jianye | Statement: [Nanjing, historicalName, Jianye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jianye
Context triple: [Nanjing, historicalName, Jianye]
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • C. Tongling
    Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
  • D. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • E. Shëngjin
    Shëngjin is a coastal town and port in northwestern Albania on the Adriatic Sea, historically significant for its strategic maritime position.
  • 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: Jianye
Triple: [Nanjing, historicalName, Jianye]
Generated description
Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jianye
Target entity description: Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • C. Tongling
    Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
  • D. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • E. Shëngjin
    Shëngjin is a coastal town and port in northwestern Albania on the Adriatic Sea, historically significant for its strategic maritime position.
  • 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_69ad7195dd10819096de0cde5fad5912 completed March 8, 2026, 12:54 p.m.
NEDg Description generation batch_69ad73c1e01c8190998be403901a1b69 completed March 8, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69ad742a52cc8190b836335f05ccb334 completed March 8, 2026, 1:05 p.m.
Created at: March 1, 2026, 8:12 p.m.