Triple

T13217715
Position Surface form Disambiguated ID Type / Status
Subject 연제구 E314662 entity
Predicate hasNotablePlace P10233 FINISHED
Object 시청역
시청역은 부산광역시 연제구에 위치한 부산 도시철도 1호선과 3호선이 교차하는 환승 지하철역이다.
E1028386 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: 시청역 | Statement: [연제구, hasNotablePlace, 시청역]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 시청역
Context triple: [연제구, hasNotablePlace, 시청역]
  • A. Yeonsan Station
    Yeonsan Station is a major transit hub in Busan, South Korea, serving as an important interchange point on the city’s subway network.
  • B. Yeouido Station
    Yeouido Station is a major Seoul Metropolitan Subway station on Yeouido Island that serves as a key transit hub for the city’s financial and business district.
  • C. Seocho Station
    Seocho Station is a subway station in southern Seoul, South Korea, serving as a transit hub for commuters in the Seocho area.
  • D. Incheon Station
    Incheon Station is a major railway and subway terminus in the city of Incheon, South Korea, serving as an important transportation hub in the greater Seoul metropolitan area.
  • E. Yongsan station
    Yongsan station is a major railway and subway hub in central Seoul, South Korea, serving high-speed, intercity, and commuter trains as well as multiple metro lines.
  • 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: 시청역
Triple: [연제구, hasNotablePlace, 시청역]
Generated description
시청역은 부산광역시 연제구에 위치한 부산 도시철도 1호선과 3호선이 교차하는 환승 지하철역이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 시청역
Target entity description: 시청역은 부산광역시 연제구에 위치한 부산 도시철도 1호선과 3호선이 교차하는 환승 지하철역이다.
  • A. Yeonsan Station
    Yeonsan Station is a major transit hub in Busan, South Korea, serving as an important interchange point on the city’s subway network.
  • B. Yeouido Station
    Yeouido Station is a major Seoul Metropolitan Subway station on Yeouido Island that serves as a key transit hub for the city’s financial and business district.
  • C. Seocho Station
    Seocho Station is a subway station in southern Seoul, South Korea, serving as a transit hub for commuters in the Seocho area.
  • D. Incheon Station
    Incheon Station is a major railway and subway terminus in the city of Incheon, South Korea, serving as an important transportation hub in the greater Seoul metropolitan area.
  • E. Yongsan station
    Yongsan station is a major railway and subway hub in central Seoul, South Korea, serving high-speed, intercity, and commuter trains as well as multiple metro lines.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf392e08190949ee4d194566395 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2085f88190be8cfc309d21f9cb completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7036009808190aea595cd542e0cf1 completed May 3, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_69f7040e32a4819083a9f4efe96fd9ca completed May 3, 2026, 8:15 a.m.
Created at: April 9, 2026, 9:18 p.m.