Triple
T1655520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geumjeong District |
E35789
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bugok-dong
Bugok-dong is a neighborhood (dong) located within Geumjeong District in the city of Busan, South Korea.
|
E187744
|
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: Bugok-dong | Statement: [Geumjeong District, contains, Bugok-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bugok-dong Context triple: [Geumjeong District, contains, Bugok-dong]
-
A.
Yudeungcheon
Yudeungcheon is a river in Daejeon, South Korea, known for flowing through the city’s urban areas and serving as a local recreational and ecological space.
-
B.
Buk-gu
Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
-
C.
Gubongsan
Gubongsan is a mountain located in or near the city of Daejeon in South Korea, known for its hiking trails and scenic views.
-
D.
Miryang
Miryang is a city in South Gyeongsang Province, South Korea, known for its scenic river valley setting, historical sites, and role as a regional transport and educational hub.
-
E.
Geumho River
The Geumho River is a major tributary of the Nakdong River in South Korea, flowing through the city of Daegu and playing an important role in the region’s ecology and urban landscape.
- 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: Bugok-dong Triple: [Geumjeong District, contains, Bugok-dong]
Generated description
Bugok-dong is a neighborhood (dong) located within Geumjeong District in the city of Busan, South Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bugok-dong Target entity description: Bugok-dong is a neighborhood (dong) located within Geumjeong District in the city of Busan, South Korea.
-
A.
Yudeungcheon
Yudeungcheon is a river in Daejeon, South Korea, known for flowing through the city’s urban areas and serving as a local recreational and ecological space.
-
B.
Buk-gu
Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
-
C.
Gubongsan
Gubongsan is a mountain located in or near the city of Daejeon in South Korea, known for its hiking trails and scenic views.
-
D.
Miryang
Miryang is a city in South Gyeongsang Province, South Korea, known for its scenic river valley setting, historical sites, and role as a regional transport and educational hub.
-
E.
Geumho River
The Geumho River is a major tributary of the Nakdong River in South Korea, flowing through the city of Daegu and playing an important role in the region’s ecology and urban landscape.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb4535180819088e3bdaa591dcdbd |
completed | March 7, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6821d18c8190b411bb031c142580 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad68a9769081908a0748b8d02b8379 |
completed | March 8, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad692d61288190ad0c0265f49643ac |
completed | March 8, 2026, 12:18 p.m. |
Created at: March 4, 2026, 7:29 p.m.