Triple
T9084565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bujeon Station area |
E217717
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Bujeon Station |
E776481
|
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: Bujeon Station | Statement: [Bujeon Station area, servedBy, Bujeon Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bujeon Station Context triple: [Bujeon Station area, servedBy, Bujeon Station]
-
A.
Bujeon Station
chosen
Bujeon Station is a railway station in Busan, South Korea, serving as a local transportation hub with connections to regional and urban rail services.
-
B.
Bupyeong station
Bupyeong station is a major transit hub in Incheon, South Korea, serving both the Incheon Subway and Seoul Metropolitan Subway Line 1 and connecting to nearby commercial and residential areas.
-
C.
Myeongnyun Station
Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
D.
Jinju Station
Jinju Station is a railway station in Jinju, South Korea, serving as a regional transportation hub connecting the city to other parts of the country.
-
E.
Gyeyang Station
Gyeyang Station is a major transit hub in Incheon, South Korea, serving as an interchange between the Incheon Subway, AREX airport railroad, and local bus routes.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960b45fc8190adf4bdc41b103e86 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017c893fc819087d18db2383b9bb4 |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:13 p.m.