Triple

T6979988
Position Surface form Disambiguated ID Type / Status
Subject Gyeyang District E161816 entity
Predicate hasKoreanName P17869 FINISHED
Object 계양구
계양구는 인천광역시 북부에 위치한 행정구로, 주거지역과 산업단지, 역사·문화 유적이 혼재한 도시 지역이다.
 E634033 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: 계양구 | Statement: [Gyeyang District, hasKoreanName, 계양구]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 계양구
Context triple: [Gyeyang District, hasKoreanName, 계양구]
  • A. 금정구
    금정구는 부산광역시 북동부에 위치한 행정구로, 금정산과 범어사 등 자연·문화 유산이 풍부한 주거·교육 중심 지역이다.
  • B. Eunpyeong-gu
    Eunpyeong-gu is a district in northwestern Seoul, South Korea, known for its mix of urban residential areas and access to nearby mountains and temples.
  • C. 연제구
    연제구는 대한민국 부산광역시 중앙부에 위치한 행정구로, 주거·상업·행정 기능이 조화를 이루는 도심 지역이다.
  • D. Yeongdeungpo District
    Yeongdeungpo District is a major administrative and commercial area in southwestern Seoul, South Korea, known for its government institutions, business centers, and dense urban development.
  • E. Seodaemun-gu
    Seodaemun-gu is a central district in Seoul, South Korea, known for its major universities, historical sites, and vibrant urban neighborhoods.
  • 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: 계양구
Triple: [Gyeyang District, hasKoreanName, 계양구]
Generated description
계양구는 인천광역시 북부에 위치한 행정구로, 주거지역과 산업단지, 역사·문화 유적이 혼재한 도시 지역이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 계양구
Target entity description: 계양구는 인천광역시 북부에 위치한 행정구로, 주거지역과 산업단지, 역사·문화 유적이 혼재한 도시 지역이다.
  • A. 금정구
    금정구는 부산광역시 북동부에 위치한 행정구로, 금정산과 범어사 등 자연·문화 유산이 풍부한 주거·교육 중심 지역이다.
  • B. Eunpyeong-gu
    Eunpyeong-gu is a district in northwestern Seoul, South Korea, known for its mix of urban residential areas and access to nearby mountains and temples.
  • C. 연제구
    연제구는 대한민국 부산광역시 중앙부에 위치한 행정구로, 주거·상업·행정 기능이 조화를 이루는 도심 지역이다.
  • D. Yeongdeungpo District
    Yeongdeungpo District is a major administrative and commercial area in southwestern Seoul, South Korea, known for its government institutions, business centers, and dense urban development.
  • E. Seodaemun-gu
    Seodaemun-gu is a central district in Seoul, South Korea, known for its major universities, historical sites, and vibrant urban neighborhoods.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761bb90f48190882a58c2da10b3e4 completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c763d0e5d481909a98dd01806264f1 completed March 28, 2026, 5:14 a.m.
NED2 Entity disambiguation (via description) batch_69c764580f888190872ca1d2230648e8 completed March 28, 2026, 5:17 a.m.
Created at: March 27, 2026, 2:31 p.m.