Triple

T1691145
Position Surface form Disambiguated ID Type / Status
Subject Busan Station E36550 entity
Predicate servesTrainType P21523 FINISHED
Object KTX
KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
 E197067 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: KTX | Statement: [Busan Station, servesTrainType, KTX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KTX
Context triple: [Busan Station, servesTrainType, KTX]
  • A. Korail
    Korail is South Korea's national railroad operator, managing the country's major passenger and freight rail services.
  • B. ITX-Saemaeul
    ITX-Saemaeul is a class of South Korean intercity express trains operated by Korail, offering faster and more comfortable service than conventional trains on major routes.
  • C. Gyeongbu High-Speed Railway
    The Gyeongbu High-Speed Railway is South Korea’s primary high-speed rail corridor, linking Seoul and Busan and serving as a backbone of national passenger transport.
  • D. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • E. Hanwa Line
    The Hanwa Line is a major railway line in Japan’s Kansai region operated by JR West, connecting central Osaka with southern Osaka Prefecture and Wakayama.
  • 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: KTX
Triple: [Busan Station, servesTrainType, KTX]
Generated description
KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KTX
Target entity description: KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
  • A. Korail
    Korail is South Korea's national railroad operator, managing the country's major passenger and freight rail services.
  • B. ITX-Saemaeul
    ITX-Saemaeul is a class of South Korean intercity express trains operated by Korail, offering faster and more comfortable service than conventional trains on major routes.
  • C. Gyeongbu High-Speed Railway
    The Gyeongbu High-Speed Railway is South Korea’s primary high-speed rail corridor, linking Seoul and Busan and serving as a backbone of national passenger transport.
  • D. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • E. Hanwa Line
    The Hanwa Line is a major railway line in Japan’s Kansai region operated by JR West, connecting central Osaka with southern Osaka Prefecture and Wakayama.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abaffad4748190995fec39bc8d7a1f completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0cb18348190baf7a30c231c7349 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada28b008c8190a46570a9f5f9f7a3 completed March 8, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69ada4dfc9188190845a4e4490318d68 completed March 8, 2026, 4:33 p.m.
Created at: March 4, 2026, 7:29 p.m.