Triple
T1586632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busanjin District |
E34080
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 부산진구 |
E34080
|
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: 부산진구 | Statement: [Busanjin District, nativeName, 부산진구]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 부산진구 Context triple: [Busanjin District, nativeName, 부산진구]
-
A.
Jung District, Busan
Jung District, Busan is a central urban district of Busan, South Korea, known as a historic commercial and cultural hub that includes the famous Jagalchi Fish Market along its waterfront.
-
B.
Busanjin District
chosen
Busanjin District is a central urban district of Busan, South Korea, known as a major commercial and transportation hub of the city.
-
C.
Dongnae District
Dongnae District is a historic and central administrative district of Busan, South Korea, known for its hot springs and cultural heritage sites.
-
D.
Buk District, Busan
Buk District, Busan is an administrative district in the northwestern part of Busan, South Korea, known for its residential neighborhoods and industrial areas.
-
E.
Jung-gu
Jung-gu is a central district of the metropolitan city of Daejeon in South Korea, known for its mix of commercial, residential, and administrative areas.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908f3b5f48190bd5eff3ce81c5ffb |
completed | March 5, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4037bbdc81909bcf9c5c7a7f5de5 |
completed | March 8, 2026, 9:24 a.m. |
Created at: March 4, 2026, 7:27 p.m.