Triple

T6061309
Position Surface form Disambiguated ID Type / Status
Subject Gangneung Coastal Cluster E135036 entity
Predicate transportAccess P1288 FINISHED
Object KTX high-speed rail to Seoul 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 to Seoul | Statement: [Gangneung Coastal Cluster, transportAccess, KTX high-speed rail to Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTX high-speed rail to Seoul
Context triple: [Gangneung Coastal Cluster, transportAccess, KTX high-speed rail to Seoul]
  • A. KTX chosen
    KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
  • B. 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.
  • C. Daegu Metro
    Daegu Metro is the urban rapid transit system serving the city of Daegu in South Korea, providing high-capacity rail transportation across the metropolitan area.
  • D. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • E. Seoul Metropolitan Subway
    The Seoul Metropolitan Subway is an extensive rapid transit network serving Seoul and its surrounding metropolitan area, known for its high efficiency, cleanliness, and technological sophistication.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0571fcecc8190a68e0d0668bbbfa7 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d197dd08190bcc6904c7c2e41aa completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:10 p.m.