Triple

T8363621
Position Surface form Disambiguated ID Type / Status
Subject KTX E197067 entity
Predicate fullNameEnglish P3437 FINISHED
Object Korea Train Express E197067 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: Korea Train Express | Statement: [KTX, fullNameEnglish, Korea Train Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korea Train Express
Context triple: [KTX, fullNameEnglish, Korea Train Express]
  • A. 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.
  • B. KTX chosen
    KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
  • C. KTX-Eum
    KTX-Eum is a South Korean high-speed electric multiple unit train operated by Korail, designed for intercity services on the country’s high-speed rail network.
  • D. Korail
    Korail is South Korea's national railroad operator, managing the country's major passenger and freight rail services.
  • E. ITX-Cheongchun
    ITX-Cheongchun is a South Korean intercity express train service connecting Seoul with major regional cities, designed to offer faster and more comfortable travel for young and general passengers alike.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80768b208190a5f6c9e6cb6e7f30 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cebb37161081908452cc449b4e903e completed April 2, 2026, 6:53 p.m.
Created at: March 30, 2026, 6 p.m.