Triple

T19167747
Position Surface form Disambiguated ID Type / Status
Subject Line 8 (Seoul Metropolitan Subway) E469229 entity
Predicate hasStation P35 FINISHED
Object Sanseong station NE NERFINISHED

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: Sanseong station | Statement: [Line 8 (Seoul Metropolitan Subway), hasStation, Sanseong station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanseong station
Context triple: [Line 8 (Seoul Metropolitan Subway), hasStation, Sanseong station]
  • A. Gwangmyeong Station
    Gwangmyeong Station is a major high-speed rail station in Gwangmyeong, South Korea, serving as an important stop on the KTX network connecting Seoul with other key cities nationwide.
  • B. Yeonsu Station
    Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
  • C. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • D. Hapjeong Station
    Hapjeong Station is a major Seoul Metropolitan Subway interchange station in Mapo-gu, connecting Line 2 and Line 6 near the Hongdae and Mangwon neighborhoods.
  • E. Seokchon station chosen
    Seokchon station is a subway station in Seoul, South Korea, serving passengers on the Seoul Metropolitan Subway network, including Line 8.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16132e081908c6b8d576163316e completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.