Triple

T12210505
Position Surface form Disambiguated ID Type / Status
Subject Xinyi E290943 entity
Predicate hasChineseName P4878 FINISHED
Object 新沂市
新沂市 is a county-level city in northern Jiangsu Province, China, administered by the prefecture-level city of Xuzhou and known as a regional transportation and commercial hub.
 E971326 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: 新沂市 | Statement: [Xinyi, hasChineseName, 新沂市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 新沂市
Context triple: [Xinyi, hasChineseName, 新沂市]
  • A. 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.
  • B. 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。
  • C. Zaozhuang City
    Zaozhuang City is a prefecture-level city in southern Shandong Province, China, known for its coal industry, historical sites, and the ancient canal town of Taierzhuang.
  • D. 新余市
    新余市 is a county-level city in central Jiangxi Province, China, known for its steel industry and rapid industrial development.
  • E. 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.
  • 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: 新沂市
Triple: [Xinyi, hasChineseName, 新沂市]
Generated description
新沂市 is a county-level city in northern Jiangsu Province, China, administered by the prefecture-level city of Xuzhou and known as a regional transportation and commercial hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 新沂市
Target entity description: 新沂市 is a county-level city in northern Jiangsu Province, China, administered by the prefecture-level city of Xuzhou and known as a regional transportation and commercial hub.
  • A. 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.
  • B. 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。
  • C. Zaozhuang City
    Zaozhuang City is a prefecture-level city in southern Shandong Province, China, known for its coal industry, historical sites, and the ancient canal town of Taierzhuang.
  • D. 新余市
    新余市 is a county-level city in central Jiangxi Province, China, known for its steel industry and rapid industrial development.
  • E. 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.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7ed4688190b0546b784e36b0ec completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9f45108190a814cdca52e77b5e completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdbee288190991b08ae685bb401 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f610ba7a608190b29f25ee2752ba7e completed May 2, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:51 p.m.