Triple

T12255437
Position Surface form Disambiguated ID Type / Status
Subject Pei County E292087 entity
Predicate pinyinName P9333 FINISHED
Object Pèi Xiàn
Pèi Xiàn is the standard pinyin romanization of Pei County, a county-level administrative region in Jiangsu Province, China.
E996184 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: Pèi Xiàn | Statement: [Pei County, pinyinName, Pèi Xiàn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pèi Xiàn
Context triple: [Pei County, pinyinName, Pèi Xiàn]
  • A. Píngdōng Xiàn
    Píngdōng Xiàn is the Mandarin pinyin name for Pingtung County, a largely rural county at the southern tip of Taiwan known for its coastal scenery and agricultural production.
  • B. Xinshao Xiang
    Xinshao Xiang is a regional variety of the Xiang Chinese language spoken primarily in Xinshao County, Hunan Province, China.
  • C. Putian
    Putian is a coastal prefecture-level city in southeastern China known for its manufacturing industries, especially footwear, and its historical and cultural heritage within Fujian province.
  • D. Zhongping
    Zhongping was an era name used during the later years of Emperor Ling’s rule in the Eastern Han dynasty of China.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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: Pèi Xiàn
Triple: [Pei County, pinyinName, Pèi Xiàn]
Generated description
Pèi Xiàn is the standard pinyin romanization of Pei County, a county-level administrative region in Jiangsu Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pèi Xiàn
Target entity description: Pèi Xiàn is the standard pinyin romanization of Pei County, a county-level administrative region in Jiangsu Province, China.
  • A. Píngdōng Xiàn
    Píngdōng Xiàn is the Mandarin pinyin name for Pingtung County, a largely rural county at the southern tip of Taiwan known for its coastal scenery and agricultural production.
  • B. Xinshao Xiang
    Xinshao Xiang is a regional variety of the Xiang Chinese language spoken primarily in Xinshao County, Hunan Province, China.
  • C. Putian
    Putian is a coastal prefecture-level city in southeastern China known for its manufacturing industries, especially footwear, and its historical and cultural heritage within Fujian province.
  • D. Zhongping
    Zhongping was an era name used during the later years of Emperor Ling’s rule in the Eastern Han dynasty of China.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc9dd5081908880061d52351850 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685045cc8190836433b5682d8a7a completed May 2, 2026, 9:10 p.m.
NEDg Description generation batch_69f669f69fe4819097dfc63780e8587e completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 8, 2026, 9:52 p.m.