Triple
T10899799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeonpo-dong |
E257406
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Jeonpo Cafe District |
E257406
|
NE FINISHED |
How this triple was built (2 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: Jeonpo Cafe District | Statement: [Jeonpo-dong, hasNickname, Jeonpo Cafe District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeonpo Cafe District Context triple: [Jeonpo-dong, hasNickname, Jeonpo Cafe District]
-
A.
Jeonpo-dong
chosen
Jeonpo-dong is a neighborhood in Busan, South Korea, known for its trendy cafes, boutiques, and vibrant urban culture.
-
B.
Cheongnyang-eup
Cheongnyang-eup is a town-level administrative division located within Ulju County in Ulsan, South Korea.
-
C.
Gwangsan District
Gwangsan District is one of the administrative districts of Gwangju, South Korea, known for its mix of urban development and transportation hubs including Gwangju Songjeong station.
-
D.
Yeongjong District
Yeongjong District is a major development area within Incheon, South Korea, centered around Incheon International Airport and planned as a hub for logistics, tourism, and high-tech industries.
-
E.
Busan Jung District
Busan Jung District is a central urban district of Busan, South Korea, known for its historic downtown area, bustling commercial streets, and major shopping and cultural attractions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a2392c8190bc2c2359d63eff7a |
completed | April 9, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216b417bc8190b35477e9d363a289 |
completed | April 17, 2026, 11:17 a.m. |
Created at: April 8, 2026, 9:21 p.m.