Triple

T1691138
Position Surface form Disambiguated ID Type / Status
Subject Busan Station E36550 entity
Predicate ownedBy P347 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: [Busan Station, ownedBy, Korail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korail
Context triple: [Busan Station, ownedBy, Korail]
  • A. Korail chosen
    Korail is South Korea's national railroad operator, managing the country's major passenger and freight rail services.
  • B. 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.
  • 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. Kiha
    Kiha is a Bantu language spoken by the Ha people of the Kigoma region in western Tanzania.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6298fa748190acabb9f1d42bd3f5 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ac6cc88819086821026a37a3578 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:29 p.m.