Triple

T17038060
Position Surface form Disambiguated ID Type / Status
Subject Pyeongchang E413371 entity
Predicate hasRailConnection P848 FINISHED
Object KTX high-speed rail 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 high-speed rail | Statement: [Pyeongchang, hasRailConnection, KTX high-speed rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTX high-speed rail
Context triple: [Pyeongchang, hasRailConnection, KTX high-speed rail]
  • A. 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.
  • B. KTX
    KTX is a Khronos Group-defined container format for efficiently storing and transmitting GPU-ready texture data in graphics applications.
  • C. KTX chosen
    KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
  • D. Honam High-Speed Railway
    The Honam High-Speed Railway is a major South Korean high-speed rail corridor connecting the Seoul area to the Honam region, significantly reducing travel times and supporting KTX bullet train services.
  • E. 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.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f45f84819092cfb27cc33da026 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5b71f48190b6c865d57668b5d1 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.