Triple

T9161506
Position Surface form Disambiguated ID Type / Status
Subject Jiangmen E219834 entity
Predicate borders P224 FINISHED
Object Yangjiang
Yangjiang is a coastal prefecture-level city in southwestern Guangdong Province, China, known for its cutlery industry and beaches along the South China Sea.
 E782663 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: Yangjiang | Statement: [Jiangmen, borders, Yangjiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yangjiang
Context triple: [Jiangmen, borders, Yangjiang]
  • A. Qianjiang
    Qianjiang is a city in China known for its regional industry and cultural exchanges, including international town twinning partnerships.
  • B. Sichun
    Sichun is a Chinese given name notably borne by actress Ma Sichun, known for her roles in contemporary Chinese cinema and television.
  • C. Lengshuijiang
    Lengshuijiang is a county-level city under the administration of Loudi in Hunan Province, China, known for its industrial development and mining resources.
  • D. Zhanjiang
    Zhanjiang is a coastal city in southwestern Guangdong, China, known for its important port, maritime industries, and strategic location on the Leizhou Peninsula.
  • E. Jiangde
    Jiangde is a riverside city in China situated along the Xin’an River, known for its scenic landscapes and water-centered local life.
  • 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: Yangjiang
Triple: [Jiangmen, borders, Yangjiang]
Generated description
Yangjiang is a coastal prefecture-level city in southwestern Guangdong Province, China, known for its cutlery industry and beaches along the South China Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yangjiang
Target entity description: Yangjiang is a coastal prefecture-level city in southwestern Guangdong Province, China, known for its cutlery industry and beaches along the South China Sea.
  • A. Qianjiang
    Qianjiang is a city in China known for its regional industry and cultural exchanges, including international town twinning partnerships.
  • B. Sichun
    Sichun is a Chinese given name notably borne by actress Ma Sichun, known for her roles in contemporary Chinese cinema and television.
  • C. Lengshuijiang
    Lengshuijiang is a county-level city under the administration of Loudi in Hunan Province, China, known for its industrial development and mining resources.
  • D. Zhanjiang
    Zhanjiang is a coastal city in southwestern Guangdong, China, known for its important port, maritime industries, and strategic location on the Leizhou Peninsula.
  • E. Jiangde
    Jiangde is a riverside city in China situated along the Xin’an River, known for its scenic landscapes and water-centered local life.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ac0508190b2f5c801c2c26d66 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0547073cc8190999fe640c7ccd373 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d05560d6888190b4faf3406f9ff9f2 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d059161a1881909ceaaf8b0893dbea completed April 4, 2026, 12:19 a.m.
Created at: March 30, 2026, 7:21 p.m.