Triple

T4794583
Position Surface form Disambiguated ID Type / Status
Subject Incheon International Airport E106680 entity
Predicate hubFor P423 FINISHED
Object Air Seoul
Air Seoul is a South Korean low-cost airline based in Seoul that operates regional flights across East Asia.
 E470417 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: Air Seoul | Statement: [Incheon International Airport, hubFor, Air Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Air Seoul
Context triple: [Incheon International Airport, hubFor, Air Seoul]
  • A. Solaseed Air
    Solaseed Air is a Japanese regional airline based in Miyazaki that primarily operates domestic routes across Kyushu and other parts of Japan.
  • B. Sky Express
    Sky Express is a Greek regional airline that operates domestic flights connecting numerous islands and mainland cities within Greece.
  • C. Air Busan
    Air Busan is a South Korean low-cost airline based in Busan that operates domestic and international flights across East Asia.
  • D. Jin Air
    Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
  • E. Asiana Airlines
    Asiana Airlines is a major South Korean international airline based in Seoul, operating an extensive network of passenger and cargo services across Asia, Europe, North America, and Oceania.
  • 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: Air Seoul
Triple: [Incheon International Airport, hubFor, Air Seoul]
Generated description
Air Seoul is a South Korean low-cost airline based in Seoul that operates regional flights across East Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Air Seoul
Target entity description: Air Seoul is a South Korean low-cost airline based in Seoul that operates regional flights across East Asia.
  • A. Solaseed Air
    Solaseed Air is a Japanese regional airline based in Miyazaki that primarily operates domestic routes across Kyushu and other parts of Japan.
  • B. Sky Express
    Sky Express is a Greek regional airline that operates domestic flights connecting numerous islands and mainland cities within Greece.
  • C. Air Busan
    Air Busan is a South Korean low-cost airline based in Busan that operates domestic and international flights across East Asia.
  • D. Jin Air
    Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
  • E. Asiana Airlines
    Asiana Airlines is a major South Korean international airline based in Seoul, operating an extensive network of passenger and cargo services across Asia, Europe, North America, and Oceania.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd66088d588190839acfbac6e1c3dd completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43f512e0819086cc33009cd45c9a completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be44cb99ac819089bbb941709a93c4 completed March 21, 2026, 7:12 a.m.
NED2 Entity disambiguation (via description) batch_69be451e8d7c81908d856e7966daa5fe completed March 21, 2026, 7:13 a.m.
Created at: March 20, 2026, 1:22 p.m.