Triple
T3747825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 대한민국 해병대 |
E81249
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object |
경기도 김포시
경기도 김포시는 인천과 서울 서북부에 인접해 한강 하구와 접한 수도권의 도시로, 군사·산업·주거 기능이 결합된 위성도시이다.
|
E384532
|
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: 경기도 김포시 | Statement: [대한민국 해병대, garrison, 경기도 김포시]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 경기도 김포시 Context triple: [대한민국 해병대, garrison, 경기도 김포시]
-
A.
Gyeonggi Province
Gyeonggi Province is a populous region in northwestern South Korea that surrounds Seoul and serves as a key political, economic, and military hub of the country.
-
B.
Jincheon County
Jincheon County is a rural administrative region in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial hub.
-
C.
오산시
오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
-
D.
Ganghwa County
Ganghwa County is a rural island county in northwestern South Korea known for its historical sites, fortresses, and strategic location near the border with North Korea.
-
E.
Jung District, Seoul
Jung District, Seoul is a central business and administrative district of South Korea’s capital, known for its major financial institutions, government offices, and historic landmarks.
- 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: 경기도 김포시 Triple: [대한민국 해병대, garrison, 경기도 김포시]
Generated description
경기도 김포시는 인천과 서울 서북부에 인접해 한강 하구와 접한 수도권의 도시로, 군사·산업·주거 기능이 결합된 위성도시이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 경기도 김포시 Target entity description: 경기도 김포시는 인천과 서울 서북부에 인접해 한강 하구와 접한 수도권의 도시로, 군사·산업·주거 기능이 결합된 위성도시이다.
-
A.
Gyeonggi Province
Gyeonggi Province is a populous region in northwestern South Korea that surrounds Seoul and serves as a key political, economic, and military hub of the country.
-
B.
Jincheon County
Jincheon County is a rural administrative region in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial hub.
-
C.
오산시
오산시 is a city in Gyeonggi Province, South Korea, known as a suburban industrial and residential area located south of Seoul.
-
D.
Ganghwa County
Ganghwa County is a rural island county in northwestern South Korea known for its historical sites, fortresses, and strategic location near the border with North Korea.
-
E.
Jung District, Seoul
Jung District, Seoul is a central business and administrative district of South Korea’s capital, known for its major financial institutions, government offices, and historic landmarks.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6ac5ac8190934ec1a6c887a8f5 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db2f5e9881908c10feafbb569f48 |
completed | March 14, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_69b4df1cfd348190831cc472de055436 |
completed | March 14, 2026, 4:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4df7b2da881908aef158d79c2834c |
completed | March 14, 2026, 4:09 a.m. |
Created at: March 8, 2026, 3:35 p.m.