Triple

T10028781
Position Surface form Disambiguated ID Type / Status
Subject Gyeongbu Line E204798 entity
Predicate operator P179 FINISHED
Object Korail E190963 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: Korail | Statement: [Gyeongbu Line, operator, Korail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korail
Context triple: [Gyeongbu Line, operator, Korail]
  • A. Korail chosen
    Korail is South Korea's national railroad operator, managing the country's major passenger and freight rail services.
  • B. KTX
    KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
  • C. Hanwa Line
    The Hanwa Line is a major railway line in Japan’s Kansai region operated by JR West, connecting central Osaka with southern Osaka Prefecture and Wakayama.
  • D. Saemaeul-ho express
    Saemaeul-ho express was a long-distance passenger train service in South Korea that operated as one of the country’s primary intercity rail options before being succeeded by the ITX-Saemaeul.
  • E. Incheon Airport Railroad (AREX)
    Incheon Airport Railroad (AREX) is a rail line in South Korea that connects central Seoul with Incheon International Airport and Gimpo International Airport, providing fast airport rail service for travelers.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde51c408190afb34010b1707014 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282351ebc8190b22bf3964823b0ee completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.