Triple

T19598967
Position Surface form Disambiguated ID Type / Status
Subject Air Seoul E470417 entity
Predicate callsign P1565 FINISHED
Object AIR SEOUL NE NERFINISHED

How this triple was built (3 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: [Air Seoul, callsign, AIR SEOUL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIR SEOUL
Context triple: [Air Seoul, callsign, AIR SEOUL]
  • A. Suwon
    Suwon is a major South Korean city best known for its UNESCO-listed Hwaseong Fortress and as a key cultural and economic center just south of Seoul.
  • B. Ulsan city center
    Ulsan city center is the main commercial and administrative hub of Ulsan, South Korea, characterized by dense urban development, shopping districts, and business facilities.
  • C. Ansan
    Ansan is a coastal industrial city in South Korea known for its manufacturing base, multicultural population, and proximity to Seoul.
  • D. Seoul Land
    Seoul Land is a major amusement park in Gwacheon, South Korea, featuring a variety of rides, themed zones, and family-friendly attractions.
  • E. Yongin
    Yongin is a rapidly growing city in the Seoul Capital Area of South Korea, known for attractions like Everland Resort and the Korean Folk Village.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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 primarily across East Asia.
  • A. Suwon
    Suwon is a major South Korean city best known for its UNESCO-listed Hwaseong Fortress and as a key cultural and economic center just south of Seoul.
  • B. Ulsan city center
    Ulsan city center is the main commercial and administrative hub of Ulsan, South Korea, characterized by dense urban development, shopping districts, and business facilities.
  • C. Ansan
    Ansan is a coastal industrial city in South Korea known for its manufacturing base, multicultural population, and proximity to Seoul.
  • D. Seoul Land
    Seoul Land is a major amusement park in Gwacheon, South Korea, featuring a variety of rides, themed zones, and family-friendly attractions.
  • E. Yongin
    Yongin is a rapidly growing city in the Seoul Capital Area of South Korea, known for attractions like Everland Resort and the Korean Folk Village.
  • F. None of above. chosen

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407d46188190b9818665b2a698a5 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.