Triple
T6566668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seodaejeon Station |
E153922
|
entity |
| Predicate | isImportantJunctionFor |
P21867
|
FINISHED |
| Object | rail transport in central South Korea |
—
|
LITERAL 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: rail transport in central South Korea | Statement: [Seodaejeon Station, isImportantJunctionFor, rail transport in central South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isImportantJunctionFor Context triple: [Seodaejeon Station, isImportantJunctionFor, rail transport in central South Korea]
-
A.
isMajorRoadJunction
Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
-
B.
isNumberedJunctionOf
Indicates that a junction (such as a road or rail intersection) has been assigned an official identifying number within a network.
-
C.
isMajorJunctionOnLine
Indicates that a location serves as a primary connecting junction along a particular line or route.
-
D.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
-
E.
isMajorInterchangeFor
chosen
Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
- F. None of above.
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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:53 p.m.