Triple

T7953299
Position Surface form Disambiguated ID Type / Status
Subject Gwangalli E184666 entity
Predicate hasLocalName P6353 FINISHED
Object 광안리
광안리는 부산광역시 수영구에 위치한 해수욕장과 주변 상권으로 유명한 해변 관광지이다.
 E705124 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: 광안리 | Statement: [Gwangalli, hasLocalName, 광안리]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 광안리
Context triple: [Gwangalli, hasLocalName, 광안리]
  • A. Daegok-ri
    Daegok-ri is a locality in Ulsan, South Korea, best known as the site of the prehistoric Bangudae Petroglyphs.
  • B. Gangjin
    Gangjin is a coastal county and town in South Jeolla Province, South Korea, known for its historic celadon pottery kilns and scenic rural landscapes.
  • C. Sokcho
    Sokcho is a coastal city in northeastern South Korea known for its beaches, seafood, and proximity to Seoraksan National Park.
  • D. Gwangyang
    Gwangyang is an industrial port city in South Korea known for its major steelworks complex and scenic coastal and mountainous landscapes.
  • E. Yangsan-dong
    Yangsan-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • 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: 광안리
Triple: [Gwangalli, hasLocalName, 광안리]
Generated description
광안리는 부산광역시 수영구에 위치한 해수욕장과 주변 상권으로 유명한 해변 관광지이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 광안리
Target entity description: 광안리는 부산광역시 수영구에 위치한 해수욕장과 주변 상권으로 유명한 해변 관광지이다.
  • A. Daegok-ri
    Daegok-ri is a locality in Ulsan, South Korea, best known as the site of the prehistoric Bangudae Petroglyphs.
  • B. Gangjin
    Gangjin is a coastal county and town in South Jeolla Province, South Korea, known for its historic celadon pottery kilns and scenic rural landscapes.
  • C. Sokcho
    Sokcho is a coastal city in northeastern South Korea known for its beaches, seafood, and proximity to Seoraksan National Park.
  • D. Gwangyang
    Gwangyang is an industrial port city in South Korea known for its major steelworks complex and scenic coastal and mountainous landscapes.
  • E. Yangsan-dong
    Yangsan-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5e51c88190abcc0534723e3660 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe05d89a08190ae5bd4092d007442 completed March 31, 2026, 2:55 p.m.
NEDg Description generation batch_69cc46bfad4081908de1667b8a10ed0a completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47e7167881908dce54e8b4615900 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:10 p.m.