Triple
T14372111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoje |
E356381
|
entity |
| Predicate | hasKoreanName |
P17869
|
FINISHED |
| Object |
거제시
거제시는 대한민국 경상남도 남해안에 위치한 섬과 반도로 이루어진 해양 관광·조선 산업 도시이다.
|
E1095372
|
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: 거제시 | Statement: [Geoje, hasKoreanName, 거제시]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 거제시 Context triple: [Geoje, hasKoreanName, 거제시]
-
A.
양산시
양산시는 대한민국 경상남도에 위치한 도시로, 부산과 울산 인근의 베드타운이자 산업·주거 기능이 결합된 중견 도시이다.
-
B.
Gijang County
Gijang County is a coastal administrative region in northeastern Busan, South Korea, known for its scenic shoreline, seafood, and growing residential and tourist areas.
-
C.
Yeosu
Yeosu is a coastal city in South Jeolla Province, South Korea, known for its scenic archipelago, maritime industry, and role as host of the 2012 World Expo.
-
D.
창원시
창원시는 경상남도에 위치한 대한민국의 주요 공업·행정 중심 도시이다.
-
E.
진주
진주 is a city in South Gyeongsang Province, South Korea, known for its rich history, cultural heritage, and the annual Jinju Namgang Yudeung (Lantern) Festival.
- 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: 거제시 Triple: [Geoje, hasKoreanName, 거제시]
Generated description
거제시는 대한민국 경상남도 남해안에 위치한 섬과 반도로 이루어진 해양 관광·조선 산업 도시이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 거제시 Target entity description: 거제시는 대한민국 경상남도 남해안에 위치한 섬과 반도로 이루어진 해양 관광·조선 산업 도시이다.
-
A.
양산시
양산시는 대한민국 경상남도에 위치한 도시로, 부산과 울산 인근의 베드타운이자 산업·주거 기능이 결합된 중견 도시이다.
-
B.
Gijang County
Gijang County is a coastal administrative region in northeastern Busan, South Korea, known for its scenic shoreline, seafood, and growing residential and tourist areas.
-
C.
Yeosu
Yeosu is a coastal city in South Jeolla Province, South Korea, known for its scenic archipelago, maritime industry, and role as host of the 2012 World Expo.
-
D.
창원시
창원시는 경상남도에 위치한 대한민국의 주요 공업·행정 중심 도시이다.
-
E.
진주
진주 is a city in South Gyeongsang Province, South Korea, known for its rich history, cultural heritage, and the annual Jinju Namgang Yudeung (Lantern) Festival.
- 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.