Triple

T7019043
Position Surface form Disambiguated ID Type / Status
Subject MU E162770 entity
Predicate callsign P1565 FINISHED
Object CHINA EASTERN 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: CHINA EASTERN | Statement: [MU, callsign, CHINA EASTERN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHINA EASTERN
Context triple: [MU, callsign, CHINA EASTERN]
  • 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. 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.
  • C. China Eastern Air Holding Company
    China Eastern Air Holding Company is a Chinese state-owned aviation conglomerate that controls China Eastern Airlines and related aviation businesses.
  • D. 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.
  • E. 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.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e8e36c81908c95a8181781cda4 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ea4f7f081909c94b7062c0d4dde completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 2:34 p.m.