Triple

T21438553
Position Surface form Disambiguated ID Type / Status
Subject Siping E528877 entity
Predicate hasChineseName P4878 FINISHED
Object 四平市
四平市 is a prefecture-level city in central Jilin Province, China, known as a regional transportation hub and an important industrial and agricultural center in Northeast China.
 E1484966 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: 四平市 | Statement: [Siping, hasChineseName, 四平市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 四平市
Context triple: [Siping, hasChineseName, 四平市]
  • A. 铁岭市
    铁岭市是中国辽宁省中部的一个地级市，以农业资源丰富和作为沈阳经济圈重要组成部分而闻名。
  • B. Jilin City
    Jilin City is a major industrial and transportation hub in northeastern China, situated along the Songhua River in central Jilin Province.
  • C. Liaoyang
    Liaoyang is an ancient industrial city in northeastern China known for its historical significance and role in the region’s heavy industry.
  • D. Nenjiang City
    Nenjiang City is a county-level city in northern Heilongjiang Province, China, known for its location near the border with Inner Mongolia and its role as a regional agricultural and transport hub.
  • E. Liaoyuan
    Liaoyuan is a prefecture-level city in northeastern China known for its coal mining history and location in the central part of Jilin Province.
  • 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: 四平市
Triple: [Siping, hasChineseName, 四平市]
Generated description
四平市 is a prefecture-level city in central Jilin Province, China, known as a regional transportation hub and an important industrial and agricultural center in Northeast China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 四平市
Target entity description: 四平市 is a prefecture-level city in central Jilin Province, China, known as a regional transportation hub and an important industrial and agricultural center in Northeast China.
  • A. 铁岭市
    铁岭市是中国辽宁省中部的一个地级市，以农业资源丰富和作为沈阳经济圈重要组成部分而闻名。
  • B. Jilin City
    Jilin City is a major industrial and transportation hub in northeastern China, situated along the Songhua River in central Jilin Province.
  • C. Liaoyang
    Liaoyang is an ancient industrial city in northeastern China known for its historical significance and role in the region’s heavy industry.
  • D. Nenjiang City
    Nenjiang City is a county-level city in northern Heilongjiang Province, China, known for its location near the border with Inner Mongolia and its role as a regional agricultural and transport hub.
  • E. Liaoyuan
    Liaoyuan is a prefecture-level city in northeastern China known for its coal mining history and location in the central part of Jilin Province.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8140a1fc8190bedf297cfc4d4841 completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8ff456481908092ae0af1297aab completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c99200a88190ad13565044dfcac0 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca47743081908cf7f9211eeedcc6 completed May 17, 2026, 2:01 p.m.
Created at: April 16, 2026, 6:04 p.m.