Triple

T6566658
Position Surface form Disambiguated ID Type / Status
Subject Seodaejeon Station E153922 entity
Predicate isMajorStopOn P3386 FINISHED
Object Honam KTX services 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: Honam KTX services | Statement: [Seodaejeon Station, isMajorStopOn, Honam KTX services]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honam KTX services
Context triple: [Seodaejeon Station, isMajorStopOn, Honam KTX services]
  • 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. Daejeon Metro
    Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
  • D. 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.
  • E. Incheon Subway
    Incheon Subway is the urban rapid transit system serving the city of Incheon, South Korea, connecting major districts and linking with the Seoul Metropolitan Subway 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_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_69c6d564cb908190bb8885e6c8d8abac completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:53 p.m.