Triple

T19368366
Position Surface form Disambiguated ID Type / Status
Subject Jieshou E484464 entity
Predicate hasChineseName P4878 FINISHED
Object 界首市
界首市 is a county-level city in northwestern Anhui Province, China, known as an important regional hub for agriculture and light industry.
E1372264 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: 界首市 | Statement: [Jieshou, hasChineseName, 界首市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 界首市
Context triple: [Jieshou, hasChineseName, 界首市]
  • A. 阜阳市
    阜阳市是中国安徽省西北部的一座地级市,以农业和能源产业为主,是连接中原与华东地区的重要交通枢纽之一。
  • B. 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.
  • C. 舒城县
    舒城县 is a county under the administration of Lu’an City in Anhui Province, eastern China, known for its agricultural economy and location in the Dabie Mountain region.
  • D. 叶集区
    叶集区是中国安徽省六安市下辖的一个市辖区,以农业和轻工业为主,位于皖西地区。
  • E. 漯河市
    漯河市 is a prefecture-level city in central China’s Henan Province, known as an important transportation hub and food-processing center along the middle reaches of the Yellow River region.
  • 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: 界首市
Triple: [Jieshou, hasChineseName, 界首市]
Generated description
界首市 is a county-level city in northwestern Anhui Province, China, known as an important regional hub for agriculture and light industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 界首市
Target entity description: 界首市 is a county-level city in northwestern Anhui Province, China, known as an important regional hub for agriculture and light industry.
  • A. 阜阳市
    阜阳市是中国安徽省西北部的一座地级市,以农业和能源产业为主,是连接中原与华东地区的重要交通枢纽之一。
  • B. 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.
  • C. 舒城县
    舒城县 is a county under the administration of Lu’an City in Anhui Province, eastern China, known for its agricultural economy and location in the Dabie Mountain region.
  • D. 叶集区
    叶集区是中国安徽省六安市下辖的一个市辖区,以农业和轻工业为主,位于皖西地区。
  • E. 漯河市
    漯河市 is a prefecture-level city in central China’s Henan Province, known as an important transportation hub and food-processing center along the middle reaches of the Yellow River region.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619ae6838819080584d60cbd58bbd completed April 20, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07241692fc81909b627d1939165823 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a0725e546488190988000d77c961c0f completed May 15, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0726a79b308190a584bc808f4b2faa completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:35 p.m.