Triple

T10696844
Position Surface form Disambiguated ID Type / Status
Subject Dalian Airlines E252165 entity
Predicate callsign P1565 FINISHED
Object XIANGJIAN
XIANGJIAN is the radio callsign used by Dalian Airlines for its flight operations.
 E880789 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: XIANGJIAN | Statement: [Dalian Airlines, callsign, XIANGJIAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XIANGJIAN
Context triple: [Dalian Airlines, callsign, XIANGJIAN]
  • A. Xiangqian
    Xiangqian is the given name of Xu Xiangqian, a prominent Chinese Communist military leader and one of the Ten Marshals of the People's Republic of China.
  • B. Xiang
    Xiang is a major group of Chinese dialects spoken primarily in Hunan province, known for preserving many archaic features of Middle Chinese.
  • C. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • D. Xiangshan Jushi
    Xiangshan Jushi was the art name of Bai Juyi, a renowned Tang dynasty poet celebrated for his accessible, socially conscious verse.
  • E. Píngxiāng
    Píngxiāng is a prefecture-level city in western Jiangxi Province, China, known historically for its coal mining industry and role as a transport hub near the Hunan border.
  • 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: XIANGJIAN
Triple: [Dalian Airlines, callsign, XIANGJIAN]
Generated description
XIANGJIAN is the radio callsign used by Dalian Airlines for its flight operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XIANGJIAN
Target entity description: XIANGJIAN is the radio callsign used by Dalian Airlines for its flight operations.
  • A. Xiangqian
    Xiangqian is the given name of Xu Xiangqian, a prominent Chinese Communist military leader and one of the Ten Marshals of the People's Republic of China.
  • B. Xiang
    Xiang is a major group of Chinese dialects spoken primarily in Hunan province, known for preserving many archaic features of Middle Chinese.
  • C. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • D. Xiangshan Jushi
    Xiangshan Jushi was the art name of Bai Juyi, a renowned Tang dynasty poet celebrated for his accessible, socially conscious verse.
  • E. Píngxiāng
    Píngxiāng is a prefecture-level city in western Jiangxi Province, China, known historically for its coal mining industry and role as a transport hub near the Hunan border.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd89390c8190969ab2b4a79d5818 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998e447e0819098e839e9e121a21f completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadcb861a08190bb9f64a91117f35d completed April 11, 2026, 11:43 p.m.
Created at: April 8, 2026, 9:12 p.m.