Triple
T6784118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 부산광역시 북구 |
E155757
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
금곡동
금곡동은 대한민국 부산광역시 북구에 속한 주거 및 상업 기능이 혼재된 동(洞) 지역이다.
|
E688788
|
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: 금곡동 | Statement: [부산광역시 북구, hasSubdivision, 금곡동]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 금곡동 Context triple: [부산광역시 북구, hasSubdivision, 금곡동]
-
A.
Hongdae
Hongdae is a vibrant neighborhood in Seoul known for its indie music scene, street art, nightlife, and youth culture centered around Hongik University.
-
B.
Dong-gu
Dong-gu is a district-level administrative area within the metropolitan city of Daejeon in South Korea.
-
C.
Dong-gu
Dong-gu is an administrative district of the metropolitan city of Ulsan in South Korea, known for its coastal location and industrial facilities.
-
D.
Dong-gu
Dong-gu is an administrative district in the city of Daegu, South Korea, known for its mix of urban neighborhoods and surrounding natural landscapes.
-
E.
Yangjeong-dong
Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
- 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: 금곡동 Triple: [부산광역시 북구, hasSubdivision, 금곡동]
Generated description
금곡동은 대한민국 부산광역시 북구에 속한 주거 및 상업 기능이 혼재된 동(洞) 지역이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 금곡동 Target entity description: 금곡동은 대한민국 부산광역시 북구에 속한 주거 및 상업 기능이 혼재된 동(洞) 지역이다.
-
A.
Hongdae
Hongdae is a vibrant neighborhood in Seoul known for its indie music scene, street art, nightlife, and youth culture centered around Hongik University.
-
B.
Dong-gu
Dong-gu is an administrative district of the metropolitan city of Ulsan in South Korea, known for its coastal location and industrial facilities.
-
C.
Dong-gu
Dong-gu is an administrative district in the city of Daegu, South Korea, known for its mix of urban neighborhoods and surrounding natural landscapes.
-
D.
Dong-gu
Dong-gu is a district-level administrative area within the metropolitan city of Daejeon in South Korea.
-
E.
Yangjeong-dong
Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28bdc3c8190aa60616d89db66ed |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e5664fb8819098ca2138e7c1e044 |
completed | March 29, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69c8e65d13b88190a85b4074122a09c9 |
completed | March 29, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8e6b9d0e48190ae1739ca5b68ee3d |
completed | March 29, 2026, 8:45 a.m. |
Created at: March 27, 2026, 2:14 p.m.