Triple

T19214519
Position Surface form Disambiguated ID Type / Status
Subject Shinbundang Line E480445 entity
Predicate extensionOpened P23994 FINISHED
Object Jeongja–Gwanggyo section 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: Jeongja–Gwanggyo section | Statement: [Shinbundang Line, extensionOpened, Jeongja–Gwanggyo section]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeongja–Gwanggyo section
Context triple: [Shinbundang Line, extensionOpened, Jeongja–Gwanggyo section]
  • A. Ulsan–Pohang section
    The Ulsan–Pohang section is a coastal railway segment in South Korea connecting the cities of Ulsan and Pohang as part of the Donghae Line.
  • B. Pohang–Samcheok section
    The Pohang–Samcheok section is a coastal railway segment in South Korea connecting the cities of Pohang and Samcheok along the Donghae Line.
  • C. Busan–Ulsan section
    The Busan–Ulsan section is a coastal railway segment in southeastern South Korea that connects the major port city of Busan with the industrial city of Ulsan.
  • D. Seoul Station–Gimpo International Airport section
    The Seoul Station–Gimpo International Airport section is the central urban stretch of South Korea’s AREX rail line, linking downtown Seoul with one of the capital’s main airports.
  • E. Gyeongchun Line
    The Gyeongchun Line is a commuter rail line in the Seoul metropolitan area that connects Seoul with cities in northeastern Gyeonggi-do and Chuncheon in Gangwon-do.
  • 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: Jeongja–Gwanggyo section
Target entity description: The Jeongja–Gwanggyo section is a southern extension of Seoul’s Shinbundang Line that connects Jeongja Station in Bundang to the Gwanggyo area of Suwon, improving regional commuter rail access.
  • A. Ulsan–Pohang section
    The Ulsan–Pohang section is a coastal railway segment in South Korea connecting the cities of Ulsan and Pohang as part of the Donghae Line.
  • B. Pohang–Samcheok section
    The Pohang–Samcheok section is a coastal railway segment in South Korea connecting the cities of Pohang and Samcheok along the Donghae Line.
  • C. Busan–Ulsan section
    The Busan–Ulsan section is a coastal railway segment in southeastern South Korea that connects the major port city of Busan with the industrial city of Ulsan.
  • D. Seoul Station–Gimpo International Airport section
    The Seoul Station–Gimpo International Airport section is the central urban stretch of South Korea’s AREX rail line, linking downtown Seoul with one of the capital’s main airports.
  • E. Gyeongchun Line
    The Gyeongchun Line is a commuter rail line in the Seoul metropolitan area that connects Seoul with cities in northeastern Gyeonggi-do and Chuncheon in Gangwon-do.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa397c188190b85bcfd9afd8dce6 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:22 p.m.