Triple
T19116983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AREX |
E467931
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Suin–Bundang Line |
—
|
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: Suin–Bundang Line | Statement: [AREX, connectsWith, Suin–Bundang Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suin–Bundang Line Context triple: [AREX, connectsWith, Suin–Bundang Line]
-
A.
Suin–Bundang Line
chosen
The Suin–Bundang Line is a major commuter rail line in the Seoul metropolitan area that connects southeastern Seoul with surrounding cities such as Seongnam, Yongin, and Suwon.
-
B.
Shinbundang Line
The Shinbundang Line is a high-speed, driverless subway line in the Seoul metropolitan area that connects southern Seoul with the satellite city of Bundang.
-
C.
Gwangju Line
The Gwangju Line is a railway line in South Korea that connects Gwangju with the national rail network, serving as an important regional transportation route.
-
D.
Daejeon Line
The Daejeon Line is a railway line in Daejeon, South Korea, that connects key stations within the city and links local routes to the national rail network.
-
E.
Daegu Line
The Daegu Line is a railway line in South Korea that serves the Daegu region, linking it with other major rail corridors in the country.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e399a6d8819090a9501ff1637b9d |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.