Triple
T11421775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beomcheon-dong |
E270639
|
entity |
| Predicate | locatedInUrbanArea |
P12103
|
FINISHED |
| Object | central Busan |
E835672
|
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: central Busan | Statement: [Beomcheon-dong, locatedInUrbanArea, central Busan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: central Busan Context triple: [Beomcheon-dong, locatedInUrbanArea, central Busan]
-
A.
Busan city center
Busan city center is the bustling downtown core of Busan, South Korea, known for its dense shopping streets, markets, and entertainment districts.
-
B.
Jung-gu, Busan
chosen
Jung-gu, Busan is a central district of Busan, South Korea, known for its historic downtown area, bustling commercial streets, and major shopping and cultural attractions.
-
C.
Busan, South Korea
Busan, South Korea is the country’s second-largest city and a major coastal hub known for its busy port, beaches, and international film festival.
-
D.
Dong-gu, Busan
Dong-gu, Busan is a central district of Busan, South Korea, known for its major transportation hubs, dense urban neighborhoods, and coastal views.
-
E.
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.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b357e88190ace56d36a945688f |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8a1e88c8190994bea88a0490e60 |
completed | April 20, 2026, 5:24 a.m. |
Created at: April 8, 2026, 9:34 p.m.