Triple
T14762580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seodaemun-gu |
E346906
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hongje-dong
Hongje-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Seodaemun District.
|
E1149802
|
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: Hongje-dong | Statement: [Seodaemun-gu, contains, Hongje-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hongje-dong Context triple: [Seodaemun-gu, contains, Hongje-dong]
-
A.
Nonhyeon-dong
Nonhyeon-dong is a neighborhood in Seoul, South Korea, known for its mix of residential areas, commercial streets, and proximity to major business and shopping districts.
-
B.
Gwangbok-dong
Gwangbok-dong is a central commercial and cultural neighborhood in Busan, South Korea, known for its bustling shopping streets and proximity to major downtown attractions.
-
C.
Yangjeong-dong
Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
-
D.
Okryeon-dong
Okryeon-dong is a neighborhood located within Yeonsu District in Incheon, South Korea.
-
E.
Cheonghak-dong
Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, 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: Hongje-dong Triple: [Seodaemun-gu, contains, Hongje-dong]
Generated description
Hongje-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Seodaemun District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hongje-dong Target entity description: Hongje-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Seodaemun District.
-
A.
Nonhyeon-dong
Nonhyeon-dong is a neighborhood in Seoul, South Korea, known for its mix of residential areas, commercial streets, and proximity to major business and shopping districts.
-
B.
Gwangbok-dong
Gwangbok-dong is a central commercial and cultural neighborhood in Busan, South Korea, known for its bustling shopping streets and proximity to major downtown attractions.
-
C.
Yangjeong-dong
Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
-
D.
Okryeon-dong
Okryeon-dong is a neighborhood located within Yeonsu District in Incheon, South Korea.
-
E.
Cheonghak-dong
Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f3a1608190b1b17624003a0c7f |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef885b07c8190af5e33303af9fbea |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa54397c81909c9bfb8c0553b3d1 |
completed | May 9, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefb04d7e4819084ac10e05dccb3e3 |
completed | May 9, 2026, 9:14 a.m. |
Created at: April 10, 2026, 1:30 a.m.