Triple

T15265711
Position Surface form Disambiguated ID Type / Status
Subject Quzhou E364895 entity
Predicate hasNickname P39 FINISHED
Object Fucheng
Fucheng is a traditional nickname for Quzhou, a historic city in southwestern Zhejiang Province, China.
 E1147524 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: Fucheng | Statement: [Quzhou, hasNickname, Fucheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fucheng
Context triple: [Quzhou, hasNickname, Fucheng]
  • A. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • B. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • C. Feicheng
    Feicheng is a county-level city in Shandong Province, China, administered by the prefecture-level city of Tai'an.
  • D. Zhaoyuan
    Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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: Fucheng
Triple: [Quzhou, hasNickname, Fucheng]
Generated description
Fucheng is a traditional nickname for Quzhou, a historic city in southwestern Zhejiang Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fucheng
Target entity description: Fucheng is a traditional nickname for Quzhou, a historic city in southwestern Zhejiang Province, China.
  • A. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • B. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • C. Feicheng
    Feicheng is a county-level city in Shandong Province, China, administered by the prefecture-level city of Tai'an.
  • D. Zhaoyuan
    Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee600340c8190a1888d35c2c1bc86 completed May 9, 2026, 7:45 a.m.
NEDg Description generation batch_69fee714cf6c81908dc4427590eeae85 completed May 9, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69feeae4731081909964bd8b1ea3dd7a completed May 9, 2026, 8:05 a.m.
Created at: April 10, 2026, 3:14 a.m.