Triple

T6566641
Position Surface form Disambiguated ID Type / Status
Subject Seodaejeon Station E153922 entity
Predicate hasService P182 FINISHED
Object KTX 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: KTX | Statement: [Seodaejeon Station, hasService, KTX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTX
Context triple: [Seodaejeon Station, hasService, KTX]
  • A. KTX chosen
    KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
  • B. Korail
    Korail is South Korea's national railroad operator, managing the country's major passenger and freight rail services.
  • C. ITX-Saemaeul
    ITX-Saemaeul is a class of South Korean intercity express trains operated by Korail, offering faster and more comfortable service than conventional trains on major routes.
  • D. Gyeongbu High-Speed Railway
    The Gyeongbu High-Speed Railway is South Korea’s primary high-speed rail corridor, linking Seoul and Busan and serving as a backbone of national passenger transport.
  • E. K train
    The K train was a former New York City Subway service designation that operated on parts of the Brooklyn–Manhattan Transit (BMT) system before being discontinued.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae5381e88190b44dc4440efdd8ae completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4275eec8190ba52fa4fb1bc64db completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:53 p.m.