Triple

T23475195
Position Surface form Disambiguated ID Type / Status
Subject Samhung Station E570243 entity
Predicate hasNativeName P1435 FINISHED
Object 삼흥역
삼흥역은 조선민주주의인민공화국 평양 지하철의 역 중 하나로, 도시 대중교통을 담당하는 주요 지하철역이다.
E1588346 NE FINISHED

How this triple was built (4 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: 삼흥역 | Statement: [Samhung Station, hasNativeName, 삼흥역]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 삼흥역
Context triple: [Samhung Station, hasNativeName, 삼흥역]
  • A. Gwacheon Station
    Gwacheon Station is a subway station in Gwacheon, South Korea, serving as part of the Seoul Metropolitan Subway network.
  • B. Ilsan Station
    Ilsan Station is a railway station in Goyang, South Korea, serving as a local transit hub in the northwestern Seoul metropolitan area.
  • C. 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.
  • D. Hoeryong station
    Hoeryong station is a railway station in South Korea that serves as an interchange point on the U Line within the Seoul metropolitan transit network.
  • E. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 삼흥역
Triple: [Samhung Station, hasNativeName, 삼흥역]
Generated description
삼흥역은 조선민주주의인민공화국 평양 지하철의 역 중 하나로, 도시 대중교통을 담당하는 주요 지하철역이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 삼흥역
Target entity description: 삼흥역은 조선민주주의인민공화국 평양 지하철의 역 중 하나로, 도시 대중교통을 담당하는 주요 지하철역이다.
  • A. Gwacheon Station
    Gwacheon Station is a subway station in Gwacheon, South Korea, serving as part of the Seoul Metropolitan Subway network.
  • B. Ilsan Station
    Ilsan Station is a railway station in Goyang, South Korea, serving as a local transit hub in the northwestern Seoul metropolitan area.
  • C. 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.
  • D. Hoeryong station
    Hoeryong station is a railway station in South Korea that serves as an interchange point on the U Line within the Seoul metropolitan transit network.
  • E. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • F. None of above. chosen

Provenance (5 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a704e2a48190acb55f77a2124412 completed April 29, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c82622f08819087b983bfd69efe5d completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6f06a348190bfdba0452077f45b completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7c5176c81908221307bb50ff4ed completed May 19, 2026, 6:11 p.m.
Created at: April 17, 2026, 6 p.m.