Triple
T6784125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 부산광역시 북구 |
E155757
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | 부산광역시 강서구 |
E178990
|
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: 부산광역시 강서구 | Statement: [부산광역시 북구, borderedBy, 부산광역시 강서구]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 부산광역시 강서구 Context triple: [부산광역시 북구, borderedBy, 부산광역시 강서구]
-
A.
부산광역시 북구
부산광역시 북구는 대한민국 부산광역시 북부에 위치한 행정구로, 주거 지역과 교육·상업 시설이 혼재한 도심 외곽 지역이다.
-
B.
Seo District, Busan
Seo District, Busan is a central administrative and residential area of Busan, South Korea, known for its urban neighborhoods, commercial zones, and connectivity via the Busan Metro.
-
C.
Haeundae District, Busan
Haeundae District, Busan is a coastal district in South Korea renowned for its popular beach, luxury hotels, and role as a major tourism and cultural hub of the city.
-
D.
Gangseo District, Busan
chosen
Gangseo District is a coastal administrative district in western Busan, South Korea, known for its industrial complexes, port facilities, and Gimhae International Airport.
-
E.
Geumjeong District, Busan
Geumjeong District is a northeastern district of Busan, South Korea, known for its major university presence and proximity to the scenic Geumjeongsan mountain area.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28bdc3c8190aa60616d89db66ed |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712d5557881909614819deb335534 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:14 p.m.