Triple
T19835700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suin–Bundang Line |
E476587
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Incheon Station |
—
|
NE NERFINISHED |
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: Incheon Station | Statement: [Suin–Bundang Line, terminus, Incheon Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Incheon Station Context triple: [Suin–Bundang Line, terminus, Incheon Station]
-
A.
Incheon Station
chosen
Incheon Station is a major railway and subway terminus in the city of Incheon, South Korea, serving as an important transportation hub in the greater Seoul metropolitan area.
-
B.
Daegu Station
Daegu Station is a major railway and metro hub in Daegu, South Korea, serving as a key transit point for regional and urban transportation.
-
C.
Daejeon Station
Daejeon Station is a major railway hub in central South Korea, serving high-speed KTX trains and connecting Daejeon to key cities nationwide.
-
D.
Songjeong Station
Songjeong Station is a railway station in Busan, South Korea, serving as a convenient transit point for visitors traveling to the nearby coastal area of Songjeong Beach.
-
E.
Suwon Station
Suwon Station is a major railway and subway hub in Suwon, South Korea, serving as a key transit, commercial, and regional transportation center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656d275608190841b23de167c401e |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.