Triple

T6553833
Position Surface form Disambiguated ID Type / Status
Subject Suqian E152395 entity
Predicate hasChineseName P4878 FINISHED
Object 宿迁市
宿迁市 is a prefecture-level city in northern Jiangsu Province, China, known for its historical connection to the Huai River region and rapid modern development.
E600158 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: 宿迁市 | Statement: [Suqian, hasChineseName, 宿迁市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 宿迁市
Context triple: [Suqian, hasChineseName, 宿迁市]
  • A. 泰州
    泰州是中国江苏省中部的一座历史文化名城和重要港口城市,以长江水运、制造业和传统美食而闻名。
  • B. 马鞍山
    马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
  • C. 六安
    六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
  • D. Huaian
    Huaian is a historic prefecture-level city in northern Jiangsu Province, China, known as the birthplace of Premier Zhou Enlai and for its Grand Canal heritage.
  • E. Xuzhou
    Xuzhou is a major historic city in northern Jiangsu Province, China, known as a strategic transportation hub and former battleground in multiple Chinese conflicts.
  • 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: 宿迁市
Triple: [Suqian, hasChineseName, 宿迁市]
Generated description
宿迁市 is a prefecture-level city in northern Jiangsu Province, China, known for its historical connection to the Huai River region and rapid modern development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 宿迁市
Target entity description: 宿迁市 is a prefecture-level city in northern Jiangsu Province, China, known for its historical connection to the Huai River region and rapid modern development.
  • A. 泰州
    泰州是中国江苏省中部的一座历史文化名城和重要港口城市,以长江水运、制造业和传统美食而闻名。
  • B. 马鞍山
    马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
  • C. 六安
    六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
  • D. Huaian
    Huaian is a historic prefecture-level city in northern Jiangsu Province, China, known as the birthplace of Premier Zhou Enlai and for its Grand Canal heritage.
  • E. Xuzhou
    Xuzhou is a major historic city in northern Jiangsu Province, China, known as a strategic transportation hub and former battleground in multiple Chinese conflicts.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae0847d88190b38f9d7dba0faae1 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb862e308190af1028c76484a1ea completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd05c54c81908bb612e7976bd10a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc3ea7c8190b63e9a19721fea80 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:51 p.m.