Triple

T7978786
Position Surface form Disambiguated ID Type / Status
Subject Namhang Bridge E185512 entity
Predicate KoreanName P17869 FINISHED
Object 남항대교
남항대교는 부산 남항을 가로지르며 서구와 영도구를 연결하는 해상 교량이다.
E710061 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: 남항대교 | Statement: [Namhang Bridge, KoreanName, 남항대교]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 남항대교
Context triple: [Namhang Bridge, KoreanName, 남항대교]
  • A. 광안대교
    광안대교는 부산 광안리해수욕장과 마린시티 일대를 잇는 대한민국의 대표적인 해상 복층 교량이자 야경 명소이다.
  • B. 구포대교
    구포대교는 부산광역시 북구와 인근 지역을 연결하며 낙동강을 가로지르는 주요 도로 교량이다.
  • C. Seongsu Bridge
    Seongsu Bridge is a major road bridge in Seoul, South Korea, known both for its role in connecting districts across the Han River and for its infamous 1994 collapse and subsequent reconstruction.
  • D. Incheon Bridge
    Incheon Bridge is a major cable-stayed bridge in South Korea that links Incheon International Airport on Yeongjong Island with the mainland city of Incheon, serving as a key transportation and logistics route.
  • E. Dongho Bridge
    Dongho Bridge is a major road bridge in Seoul, South Korea, carrying traffic across the Han River and connecting key districts of the city.
  • 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: 남항대교
Triple: [Namhang Bridge, KoreanName, 남항대교]
Generated description
남항대교는 부산 남항을 가로지르며 서구와 영도구를 연결하는 해상 교량이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 남항대교
Target entity description: 남항대교는 부산 남항을 가로지르며 서구와 영도구를 연결하는 해상 교량이다.
  • A. 광안대교
    광안대교는 부산 광안리해수욕장과 마린시티 일대를 잇는 대한민국의 대표적인 해상 복층 교량이자 야경 명소이다.
  • B. 구포대교
    구포대교는 부산광역시 북구와 인근 지역을 연결하며 낙동강을 가로지르는 주요 도로 교량이다.
  • C. Seongsu Bridge
    Seongsu Bridge is a major road bridge in Seoul, South Korea, known both for its role in connecting districts across the Han River and for its infamous 1994 collapse and subsequent reconstruction.
  • D. Incheon Bridge
    Incheon Bridge is a major cable-stayed bridge in South Korea that links Incheon International Airport on Yeongjong Island with the mainland city of Incheon, serving as a key transportation and logistics route.
  • E. Dongho Bridge
    Dongho Bridge is a major road bridge in Seoul, South Korea, carrying traffic across the Han River and connecting key districts of the city.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf84b1081908e60a556d984aad6 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63b72c508190b0ad8acf975c1527 completed April 1, 2026, 12:15 a.m.
NEDg Description generation batch_69cc68634dc88190bc9b9e0598929d4d completed April 1, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69cc6946aa5481908d682957b818a3e9 completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:14 p.m.