Triple

T8437627
Position Surface form Disambiguated ID Type / Status
Subject Taehwa River E199267 entity
Predicate hasNameInLanguage P15 FINISHED
Object 태화강
태화강은 울산광역시를 중심으로 흐르며 생태공원과 국가정원으로 유명한 대한민국의 대표적인 하천이다.
 E733379 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: 태화강 | Statement: [Taehwa River, hasNameInLanguage, 태화강]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 태화강
Context triple: [Taehwa River, hasNameInLanguage, 태화강]
  • A. Hwanggujicheon
    Hwanggujicheon is a stream in Osan, South Korea, that serves as a local waterway and natural feature of the city’s landscape.
  • B. Hwangnyeongsan
    Hwangnyeongsan is a mountain in Busan, South Korea, known for its panoramic city views and popular hiking trails.
  • C. Chundangji Pond
    Chundangji Pond is a scenic historic pond and garden feature located within Changgyeonggung Palace in Seoul, South Korea.
  • D. Myeongneung
    Myeongneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • E. Nam-gu
    Nam-gu is a central urban district of Daegu in South Korea, known for its residential neighborhoods, commercial areas, and educational institutions.
  • 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: 태화강
Triple: [Taehwa River, hasNameInLanguage, 태화강]
Generated description
태화강은 울산광역시를 중심으로 흐르며 생태공원과 국가정원으로 유명한 대한민국의 대표적인 하천이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 태화강
Target entity description: 태화강은 울산광역시를 중심으로 흐르며 생태공원과 국가정원으로 유명한 대한민국의 대표적인 하천이다.
  • A. Hwanggujicheon
    Hwanggujicheon is a stream in Osan, South Korea, that serves as a local waterway and natural feature of the city’s landscape.
  • B. Hwangnyeongsan
    Hwangnyeongsan is a mountain in Busan, South Korea, known for its panoramic city views and popular hiking trails.
  • C. Chundangji Pond
    Chundangji Pond is a scenic historic pond and garden feature located within Changgyeonggung Palace in Seoul, South Korea.
  • D. Myeongneung
    Myeongneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • E. Nam-gu
    Nam-gu is a central urban district of Daegu in South Korea, known for its residential neighborhoods, commercial areas, and educational institutions.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13446788190ad52a4fd6e8b498a completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d87403c8190b979af4979e43517 completed April 2, 2026, 7:40 a.m.
NEDg Description generation batch_69ce1f12e1a081909d28b06c520353ef completed April 2, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fb498448190a2737b8895f6bb48 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:08 p.m.