Triple
T5575162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jongno-gu |
E146300
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Insadong
Insadong is a popular neighborhood in central Seoul known for its traditional Korean culture, antique shops, tea houses, and art galleries.
|
E552502
|
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: Insadong | Statement: [Jongno-gu, contains, Insadong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Insadong Context triple: [Jongno-gu, contains, Insadong]
-
A.
Cheongdam-dong
Cheongdam-dong is an affluent neighborhood in Seoul known for its luxury boutiques, high-end residences, and trendy cafes and galleries.
-
B.
Bukchon Hanok Village
Bukchon Hanok Village is a historic neighborhood in central Seoul known for its well-preserved traditional Korean hanok houses and scenic alleyways.
-
C.
Myeongdong
Myeongdong is a major shopping and entertainment district in central Seoul, famous for its fashion boutiques, street food, and vibrant nightlife.
-
D.
Yangjeong-dong
Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
-
E.
Cheongnyong-dong
Cheongnyong-dong is a neighborhood located within Geumjeong 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: Insadong Triple: [Jongno-gu, contains, Insadong]
Generated description
Insadong is a popular neighborhood in central Seoul known for its traditional Korean culture, antique shops, tea houses, and art galleries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Insadong Target entity description: Insadong is a popular neighborhood in central Seoul known for its traditional Korean culture, antique shops, tea houses, and art galleries.
-
A.
Cheongdam-dong
Cheongdam-dong is an affluent neighborhood in Seoul known for its luxury boutiques, high-end residences, and trendy cafes and galleries.
-
B.
Bukchon Hanok Village
Bukchon Hanok Village is a historic neighborhood in central Seoul known for its well-preserved traditional Korean hanok houses and scenic alleyways.
-
C.
Myeongdong
Myeongdong is a major shopping and entertainment district in central Seoul, famous for its fashion boutiques, street food, and vibrant nightlife.
-
D.
Yangjeong-dong
Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
-
E.
Cheongnyong-dong
Cheongnyong-dong is a neighborhood located within Geumjeong 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02067e8d8819090a006cb266da5fe |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b08980748190a86ccffd9ff94fbf |
completed | March 23, 2026, 3:16 a.m. |
| NEDg | Description generation | batch_69c0b1c9ebdc819089752d150b584a6f |
completed | March 23, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b27981848190a5b7c618044241b0 |
completed | March 23, 2026, 3:24 a.m. |
Created at: March 22, 2026, 3:37 p.m.