Triple

T9207637
Position Surface form Disambiguated ID Type / Status
Subject Pingxiang E221025 entity
Predicate romanization P2508 FINISHED
Object Píngxiāng
Píngxiāng is a prefecture-level city in western Jiangxi Province, China, known historically for its coal mining industry and role as a transport hub near the Hunan border.
 E785961 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: Píngxiāng | Statement: [Pingxiang, romanization, Píngxiāng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Píngxiāng
Context triple: [Pingxiang, romanization, Píngxiāng]
  • A. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • B. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • C. Bianliang
    Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
  • D. Linxiang
    Linxiang is a county-level city administered by Yueyang in Hunan Province, China, known for its location near the Yangtze River and its regional agricultural and industrial activities.
  • E. Xiping
    Xiping was an era name used during the reign of Emperor Ling in the late Eastern Han dynasty of China.
  • 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: Píngxiāng
Triple: [Pingxiang, romanization, Píngxiāng]
Generated description
Píngxiāng is a prefecture-level city in western Jiangxi Province, China, known historically for its coal mining industry and role as a transport hub near the Hunan border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Píngxiāng
Target entity description: Píngxiāng is a prefecture-level city in western Jiangxi Province, China, known historically for its coal mining industry and role as a transport hub near the Hunan border.
  • A. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • B. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • C. Bianliang
    Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
  • D. Linxiang
    Linxiang is a county-level city administered by Yueyang in Hunan Province, China, known for its location near the Yangtze River and its regional agricultural and industrial activities.
  • E. Xiping
    Xiping was an era name used during the reign of Emperor Ling in the late Eastern Han dynasty of China.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b217008190a0ab4971dd4a8899 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065e49fcc81909ddb838a8ad28c57 completed April 4, 2026, 1:14 a.m.
NEDg Description generation batch_69d0676ea53c81908b16dfce6810f6b0 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0684c1a108190bc7fdfdced16e24c completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:26 p.m.