Triple

T17851460
Position Surface form Disambiguated ID Type / Status
Subject Gangneung E445814 entity
Predicate connectedBy P37 FINISHED
Object Donghae 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: Donghae Line | Statement: [Gangneung, connectedBy, Donghae Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donghae Line
Context triple: [Gangneung, connectedBy, Donghae Line]
  • A. Donghae Line chosen
    The Donghae Line is a railway line in South Korea that runs along the country’s eastern coast, connecting major cities and districts in the Busan–Ulsan–Pohang region.
  • B. 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.
  • C. Honam Line
    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.
  • D. Gyeongwon Line
    The Gyeongwon Line is a railway line in South Korea that connects parts of northern Seoul with surrounding Gyeonggi Province cities.
  • E. 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.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48fff6c288190a2b5e60b66c03ddc completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:17 a.m.