Triple

T7968115
Position Surface form Disambiguated ID Type / Status
Subject 9 Air E185256 entity
Predicate callsign P1565 FINISHED
Object JIU YUAN
JIU YUAN is the airline callsign used by 9 Air, a Chinese low-cost carrier.
 E704783 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: JIU YUAN | Statement: [9 Air, callsign, JIU YUAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JIU YUAN
Context triple: [9 Air, callsign, JIU YUAN]
  • A. Zhaoyuan
    Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
  • B. Jintao
    Jintao is the given name of Hu Jintao, the former President of the People's Republic of China and General Secretary of the Chinese Communist Party.
  • C. Wuyuan
    Wuyuan is a historic county in northeastern Jiangxi, China, famed for its well-preserved Huizhou-style architecture and picturesque rural landscapes.
  • D. Jiyuan
    Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
  • E. Jianyang
    Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min River.
  • 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: JIU YUAN
Triple: [9 Air, callsign, JIU YUAN]
Generated description
JIU YUAN is the airline callsign used by 9 Air, a Chinese low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JIU YUAN
Target entity description: JIU YUAN is the airline callsign used by 9 Air, a Chinese low-cost carrier.
  • A. Zhaoyuan
    Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
  • B. Jintao
    Jintao is the given name of Hu Jintao, the former President of the People's Republic of China and General Secretary of the Chinese Communist Party.
  • C. Wuyuan
    Wuyuan is a historic county in northeastern Jiangxi, China, famed for its well-preserved Huizhou-style architecture and picturesque rural landscapes.
  • D. Jiyuan
    Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
  • E. Gaoyang
    Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd06ee081908c5080003fb7b8f7 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0a334e08190ae67a9ca7b51a128 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cc46c11e68819087f5083bb85ec7ab completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47fa1524819089ef5b3f8bf7f670 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:13 p.m.