Triple

T413974
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Tianhe International Airport E9550 entity
Predicate servesAsHubFor P423 FINISHED
Object XiamenAir E30720 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: XiamenAir | Statement: [Wuhan Tianhe International Airport, servesAsHubFor, XiamenAir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XiamenAir
Context triple: [Wuhan Tianhe International Airport, servesAsHubFor, XiamenAir]
  • A. XiamenAir chosen
    XiamenAir is a Chinese airline based in Xiamen that operates domestic and international flights across Asia and beyond.
  • B. Shenzhen Airlines
    Shenzhen Airlines is a major Chinese carrier based in Shenzhen that operates extensive domestic and regional flights across Asia.
  • C. 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.
  • D. 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.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdd3d1c8190a31b071569cfc980 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43667f180819099661c2cc5d8b188 completed March 1, 2026, 12:51 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.