Triple

T14189035
Position Surface form Disambiguated ID Type / Status
Subject Maoming E351658 entity
Predicate borders P224 FINISHED
Object Yunfu
Yunfu is a prefecture-level city in western Guangdong Province, China, known for its stone-processing industry and karst landscapes.
E1094877 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: Yunfu | Statement: [Maoming, borders, Yunfu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yunfu
Context triple: [Maoming, borders, Yunfu]
  • A. Qingyuan
    Qingyuan is a prefecture-level city in northern Guangdong Province, China, known for its karst landscapes, hot springs, and role as a regional transport hub near the Pearl River Delta.
  • B. Caizhou
    Caizhou was a historic Chinese city best known as the final capital of the Jurchen-led Jin dynasty before its fall to the Mongols.
  • C. Haozhou
    Haozhou is a historical city in China, known as the birthplace of the Hongwu Emperor, founder of the Ming dynasty.
  • D. Dunhua
    Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
  • E. Shanwei
    Shanwei is a coastal city in eastern Guangdong Province, China, known for its fishing industry and location along major transportation routes on the South China Sea.
  • 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: Yunfu
Triple: [Maoming, borders, Yunfu]
Generated description
Yunfu is a prefecture-level city in western Guangdong Province, China, known for its stone-processing industry and karst landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yunfu
Target entity description: Yunfu is a prefecture-level city in western Guangdong Province, China, known for its stone-processing industry and karst landscapes.
  • A. Qingyuan
    Qingyuan is a prefecture-level city in northern Guangdong Province, China, known for its karst landscapes, hot springs, and role as a regional transport hub near the Pearl River Delta.
  • B. Caizhou
    Caizhou was a historic Chinese city best known as the final capital of the Jurchen-led Jin dynasty before its fall to the Mongols.
  • C. Haozhou
    Haozhou is a historical city in China, known as the birthplace of the Hongwu Emperor, founder of the Ming dynasty.
  • D. Dunhua
    Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
  • E. Shanwei
    Shanwei is a coastal city in eastern Guangdong Province, China, known for its fishing industry and location along major transportation routes on the South China Sea.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61de509881908967ef5031f2a8d9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c29b4e08190896ddde5096628d3 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd4d7b9f2c8190ae8367a999a5b0a3 completed May 8, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69fd4ddc860881908b8e07c4e3defeaa completed May 8, 2026, 2:43 a.m.
Created at: April 10, 2026, 1:03 a.m.