Triple

T1419271
Position Surface form Disambiguated ID Type / Status
Subject China Eastern Airlines E31985 entity
Predicate ChineseName P744 FINISHED
Object 中国东方航空 E31985 NE FINISHED

How this triple was built (2 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: 中国东方航空 | Statement: [China Eastern Airlines, ChineseName, 中国东方航空]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 中国东方航空
Context triple: [China Eastern Airlines, ChineseName, 中国东方航空]
  • A. China Eastern Airlines chosen
    China Eastern Airlines is a major Chinese airline based in Shanghai that operates extensive domestic and international routes as one of the country’s largest carriers.
  • B. China Southern Airlines
    China Southern Airlines is one of China’s largest airlines, operating extensive domestic and international routes from major hubs like Guangzhou and Beijing.
  • C. Air China
    Air China is the flag carrier and one of the largest airlines of the People's Republic of China, operating extensive domestic and international passenger and cargo services.
  • D. Hainan Airlines
    Hainan Airlines is a major Chinese airline headquartered in Haikou, known for its extensive domestic and international route network and high service quality ratings.
  • E. Shenzhen Airlines
    Shenzhen Airlines is a major Chinese carrier based in Shenzhen that operates extensive domestic and regional flights across Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c40631e881909ddf81a2eb84af1c completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5857d6c8190902eecd7bb12cbaf completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.