Triple

T10523048
Position Surface form Disambiguated ID Type / Status
Subject Guanghua School of Management E248222 entity
Predicate shortName P43 FINISHED
Object Guanghua
Guanghua is a leading business school under Peking University in China, renowned for its research and education in economics and management.
 E869269 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: Guanghua | Statement: [Guanghua School of Management, shortName, Guanghua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guanghua
Context triple: [Guanghua School of Management, shortName, Guanghua]
  • A. Guangyi
    Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • B. Shangyuan
    Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
  • C. Guangshun
    Guangshun was the brief final era name used by the Later Zhou dynasty in 10th-century China, marking the closing phase of that regime before the rise of the Song dynasty.
  • D. Guang
    Guang is the given name of Sima Guang, a renowned Song dynasty historian, scholar, and high-ranking official in imperial China.
  • E. Bao’an
    Bao’an is a historical county-level area in Guangdong, China, that once encompassed what is now the modern city of Shenzhen.
  • 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: Guanghua
Triple: [Guanghua School of Management, shortName, Guanghua]
Generated description
Guanghua is a leading business school under Peking University in China, renowned for its research and education in economics and management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guanghua
Target entity description: Guanghua is a leading business school under Peking University in China, renowned for its research and education in economics and management.
  • A. Guangyi
    Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • B. Shangyuan
    Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
  • C. Guangshun
    Guangshun was the brief final era name used by the Later Zhou dynasty in 10th-century China, marking the closing phase of that regime before the rise of the Song dynasty.
  • D. Guang
    Guang is the given name of Sima Guang, a renowned Song dynasty historian, scholar, and high-ranking official in imperial China.
  • E. Bao’an
    Bao’an is a historical county-level area in Guangdong, China, that once encompassed what is now the modern city of Shenzhen.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509e155b08190996325bf484ec55d completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e1c73208190aa3d3e30aa4482ac completed April 10, 2026, 2:50 p.m.
NEDg Description generation batch_69d9107e8b94819086ebba1675a0db54 completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911a16b1481909197b00c30de48c4 completed April 10, 2026, 3:05 p.m.
Created at: April 6, 2026, 12:29 p.m.