Triple

T2229655
Position Surface form Disambiguated ID Type / Status
Subject Air China E48734 entity
Predicate callsign P1565 FINISHED
Object AIR CHINA E48734 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: AIR CHINA | Statement: [Air China, callsign, AIR CHINA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIR CHINA
Context triple: [Air China, callsign, AIR CHINA]
  • A. Air China chosen
    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.
  • 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. Juneyao Air
    Juneyao Air is a Chinese full-service airline based in Shanghai that operates domestic and international flights, primarily across Asia and to select long-haul destinations.
  • D. Shanghai Airlines
    Shanghai Airlines is a Chinese airline based in Shanghai that operates domestic and international passenger flights as a subsidiary of China Eastern Airlines.
  • E. China Eastern Airlines
    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.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc069e0ac8190bcda8cba9f5c7a5d completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae656a1f788190a08c3283bfedb6f4 completed March 9, 2026, 6:15 a.m.
Created at: March 4, 2026, 7:47 p.m.