Triple

T14506808
Position Surface form Disambiguated ID Type / Status
Subject Nonsan E340283 entity
Predicate connectedByRail P522 FINISHED
Object Honam Line E614579 NE FINISHED

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: Honam Line | Statement: [Nonsan, connectedByRail, Honam Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honam Line
Context triple: [Nonsan, connectedByRail, Honam Line]
  • A. Honam Line chosen
    The Honam Line is a major railway corridor in South Korea that connects the southwestern Honam region, including cities like Daejeon, Gwangju, and Mokpo, to the national rail network.
  • 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. Gyeonggang Line
    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.
  • D. 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.
  • E. Gyeongwon Line
    The Gyeongwon Line is a railway line in South Korea that connects parts of northern Seoul with surrounding Gyeonggi Province cities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e40e44819084f323f8f9982b75 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da07ff481909fb2463b0ea92849 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.