Triple
T14814322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seongbuk District |
E348269
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Samseon-dong
Samseon-dong is a neighborhood (dong) in northern Seoul, South Korea, known as a residential area within the city's Seongbuk District.
|
E1180105
|
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: Samseon-dong | Statement: [Seongbuk District, contains, Samseon-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samseon-dong Context triple: [Seongbuk District, contains, Samseon-dong]
-
A.
Samseong-dong
Samseong-dong is a prominent neighborhood in Seoul, South Korea, known for its upscale shopping, business centers, and major landmarks like COEX Mall.
-
B.
Samcheong-dong
Samcheong-dong is a picturesque neighborhood in central Seoul known for its traditional hanok houses, art galleries, cafes, and proximity to historic palaces.
-
C.
Seongho-dong
Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
D.
Sogyeok-dong
Sogyeok-dong is a neighborhood in central Seoul, South Korea, known for its traditional Korean houses (hanok), art galleries, and proximity to historic palaces.
-
E.
Beomjeon-dong
Beomjeon-dong is a neighborhood (dong) located within Busanjin District in 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: Samseon-dong Triple: [Seongbuk District, contains, Samseon-dong]
Generated description
Samseon-dong is a neighborhood (dong) in northern Seoul, South Korea, known as a residential area within the city's Seongbuk District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samseon-dong Target entity description: Samseon-dong is a neighborhood (dong) in northern Seoul, South Korea, known as a residential area within the city's Seongbuk District.
-
A.
Samseong-dong
Samseong-dong is a prominent neighborhood in Seoul, South Korea, known for its upscale shopping, business centers, and major landmarks like COEX Mall.
-
B.
Samcheong-dong
Samcheong-dong is a picturesque neighborhood in central Seoul known for its traditional hanok houses, art galleries, cafes, and proximity to historic palaces.
-
C.
Seongho-dong
Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
D.
Sogyeok-dong
Sogyeok-dong is a neighborhood in central Seoul, South Korea, known for its traditional Korean houses (hanok), art galleries, and proximity to historic palaces.
-
E.
Beomjeon-dong
Beomjeon-dong is a neighborhood (dong) located within Busanjin District in 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe0e89c81908c0e1fe2bc3ebcfc |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa11f77788190866e0820d33af588 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa417ee248190808b0fecfb58d705 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5372f248190827cdc4985fee1ef |
completed | May 9, 2026, 9:20 p.m. |
Created at: April 10, 2026, 1:48 a.m.