Triple

T9171925
Position Surface form Disambiguated ID Type / Status
Subject Oncheonjang Station E220100 entity
Predicate near P350 FINISHED
Object Oncheoncheon (Oncheon Stream) E706985 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: Oncheoncheon (Oncheon Stream) | Statement: [Oncheonjang Station, near, Oncheoncheon (Oncheon Stream)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oncheoncheon (Oncheon Stream)
Context triple: [Oncheonjang Station, near, Oncheoncheon (Oncheon Stream)]
  • A. Oncheoncheon Stream chosen
    Oncheoncheon Stream is an urban waterway in Busan, South Korea, known for its riverside parks, walking paths, and proximity to historic sites such as Geumjeong Fortress.
  • B. Daegokcheon stream
    Daegokcheon stream is a watercourse in Ulsan, South Korea, known for flowing past the Bangudae Petroglyphs, a major prehistoric rock art site.
  • C. Yangjaecheon Stream
    Yangjaecheon Stream is an urban waterway in southern Seoul known for its walking and cycling paths, cherry blossoms, and ecological restoration as a recreational green space.
  • D. Anseongcheon
    Anseongcheon is a river in South Korea that flows through the city of Pyeongtaek in Gyeonggi Province.
  • E. Suyeong River
    The Suyeong River is a major waterway flowing through Busan, South Korea, known for its scenic riverside areas and proximity to key cultural and urban landmarks.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae38ee48190bf783477bc37913d completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549d81d88190bea0995ad0016437 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.