Triple

T14371877
Position Surface form Disambiguated ID Type / Status
Subject Uiryeong County E356376 entity
Predicate nativeName P15 FINISHED
Object 의령군
의령군은 대한민국 경상남도 내륙에 위치한 농업 중심의 군으로, 조용한 농촌 경관과 역사·문화 유산이 남아 있는 지역이다.
 E1095360 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: 의령군 | Statement: [Uiryeong County, nativeName, 의령군]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 의령군
Context triple: [Uiryeong County, nativeName, 의령군]
  • A. 양산시
    양산시는 대한민국 경상남도에 위치한 도시로, 부산과 울산 인근의 베드타운이자 산업·주거 기능이 결합된 중견 도시이다.
  • B. Danyang-gun
    Danyang-gun is a scenic rural county in central South Korea known for its limestone caves, steep mountains, and popular nature tourism.
  • C. Seocheon County
    Seocheon County is a coastal administrative region in South Chungcheong Province, South Korea, known for its tidal flats, fishing industry, and ecological wetlands.
  • D. Yeongdeok County
    Yeongdeok County is a coastal county in eastern South Korea known for its scenic shoreline and seafood, particularly snow crabs.
  • E. Ongjin County
    Ongjin County is a rural island and coastal county in South Korea known for its fishing communities, natural scenery, and administrative affiliation with the metropolitan city of Incheon.
  • 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: 의령군
Triple: [Uiryeong County, nativeName, 의령군]
Generated description
의령군은 대한민국 경상남도 내륙에 위치한 농업 중심의 군으로, 조용한 농촌 경관과 역사·문화 유산이 남아 있는 지역이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 의령군
Target entity description: 의령군은 대한민국 경상남도 내륙에 위치한 농업 중심의 군으로, 조용한 농촌 경관과 역사·문화 유산이 남아 있는 지역이다.
  • A. 양산시
    양산시는 대한민국 경상남도에 위치한 도시로, 부산과 울산 인근의 베드타운이자 산업·주거 기능이 결합된 중견 도시이다.
  • B. Danyang-gun
    Danyang-gun is a scenic rural county in central South Korea known for its limestone caves, steep mountains, and popular nature tourism.
  • C. Seocheon County
    Seocheon County is a coastal administrative region in South Chungcheong Province, South Korea, known for its tidal flats, fishing industry, and ecological wetlands.
  • D. Yeongdeok County
    Yeongdeok County is a coastal county in eastern South Korea known for its scenic shoreline and seafood, particularly snow crabs.
  • E. Ongjin County
    Ongjin County is a rural island and coastal county in South Korea known for its fishing communities, natural scenery, and administrative affiliation with the metropolitan city of Incheon.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5363a081909681b54c1d8218dc completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e795948819097c43e30902f1654 completed May 8, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f04d7ec819095b64d4811440166 completed May 8, 2026, 2:48 a.m.
Created at: April 10, 2026, 1:15 a.m.