Triple

T19835703
Position Surface form Disambiguated ID Type / Status
Subject Suin–Bundang Line E476587 entity
Predicate lineNumber P1864 FINISHED
Object Suin–Bundang Line E476587 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: Suin–Bundang Line | Statement: [Suin–Bundang Line, lineNumber, Suin–Bundang Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suin–Bundang Line
Context triple: [Suin–Bundang Line, lineNumber, Suin–Bundang Line]
  • A. Suin–Bundang Line chosen
    The Suin–Bundang Line is a major commuter rail line in the Seoul metropolitan area that connects southeastern Seoul with surrounding cities such as Seongnam, Yongin, and Suwon.
  • B. Shinbundang Line
    The Shinbundang Line is a high-speed, driverless subway line in the Seoul metropolitan area that connects southern Seoul with the satellite city of Bundang.
  • C. Gwangju Line
    The Gwangju Line is a railway line in South Korea that connects Gwangju with the national rail network, serving as an important regional transportation route.
  • D. Daejeon Line
    The Daejeon Line is a railway line in Daejeon, South Korea, that connects key stations within the city and links local routes to the national rail network.
  • E. Daegu Line
    The Daegu Line is a railway line in South Korea that serves the Daegu region, linking it with other major rail corridors in the country.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d275608190841b23de167c401e completed April 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4de0dec48190a74ccdef29499dfb completed May 18, 2026, 5:35 p.m.
Created at: April 10, 2026, 1:50 p.m.