Triple

T18305409
Position Surface form Disambiguated ID Type / Status
Subject Yeoju E438469 entity
Predicate railwayService P848 FINISHED
Object Gyeonggang Line NE NERFINISHED

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: Gyeonggang Line | Statement: [Yeoju, railwayService, Gyeonggang Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gyeonggang Line
Context triple: [Yeoju, railwayService, Gyeonggang Line]
  • A. Gyeonggang Line chosen
    The Gyeonggang Line is a South Korean railway line that forms part of the high-speed and commuter rail network, connecting regions in the Seoul metropolitan area and beyond.
  • B. Janghang Line
    The Janghang Line is a railway line in western South Korea that runs along the west coast, linking cities such as Gunsan with the national rail network.
  • C. Gyeongwon Line
    The Gyeongwon Line is a railway line in South Korea that connects parts of northern Seoul with surrounding Gyeonggi Province cities.
  • D. Yeongdong Line
    The Yeongdong Line is a major railway route in South Korea that runs across the country’s eastern region, linking inland areas with coastal cities such as Gangneung.
  • E. Gyeongjeon Line
    The Gyeongjeon Line is a major railway line in South Korea that runs along the southern region, linking key cities between the southeast and southwest coasts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50183394081909b86cefaaa0a3aa8 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.