Triple

T10043670
Position Surface form Disambiguated ID Type / Status
Subject Suyeong River E205356 entity
Predicate hasKoreanName P17869 FINISHED
Object 수영강
수영강은 대한민국 부산광역시를 흐르며 도심 경관과 수변 공원을 형성하는 하천이다.
 E837488 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: 수영강 | Statement: [Suyeong River, hasKoreanName, 수영강]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 수영강
Context triple: [Suyeong River, hasKoreanName, 수영강]
  • A. Minho River
    The Minho River is a major river in the northwest of the Iberian Peninsula that forms part of the border between Spain and Portugal before flowing into the Atlantic Ocean.
  • B. Yeong River
    The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
  • C. Seoktan River
    The Seoktan River is a tributary waterway in the Korean Peninsula that feeds into the larger Imjin River system.
  • D. Nam-gu
    Nam-gu is a central urban district of Daegu in South Korea, known for its residential neighborhoods, commercial areas, and educational institutions.
  • E. Nam-gu
    Nam-gu is a central administrative district of the metropolitan city of Ulsan in South Korea, known for its residential areas, commercial centers, and proximity to major industrial complexes.
  • 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: 수영강
Triple: [Suyeong River, hasKoreanName, 수영강]
Generated description
수영강은 대한민국 부산광역시를 흐르며 도심 경관과 수변 공원을 형성하는 하천이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 수영강
Target entity description: 수영강은 대한민국 부산광역시를 흐르며 도심 경관과 수변 공원을 형성하는 하천이다.
  • A. Minho River
    The Minho River is a major river in the northwest of the Iberian Peninsula that forms part of the border between Spain and Portugal before flowing into the Atlantic Ocean.
  • B. Yeong River
    The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
  • C. Seoktan River
    The Seoktan River is a tributary waterway in the Korean Peninsula that feeds into the larger Imjin River system.
  • D. Nam-gu
    Nam-gu is a central urban district of Daegu in South Korea, known for its residential neighborhoods, commercial areas, and educational institutions.
  • E. Nam-gu
    Nam-gu is a central administrative district of the metropolitan city of Ulsan in South Korea, known for its residential areas, commercial centers, and proximity to major industrial complexes.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf61b3e08190b69bcf67b6a95342 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282801c548190b6031bdde17f6e14 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d283508a24819086f384a7852f1be9 completed April 5, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69d284105be08190a703cea6ef5d6cbc completed April 5, 2026, 3:47 p.m.
Created at: March 30, 2026, 8:55 p.m.