Triple
T20617289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolding railway station |
E506599
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Esbjerg railway 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: Esbjerg railway station | Statement: [Kolding railway station, connectsTo, Esbjerg railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esbjerg railway station Context triple: [Kolding railway station, connectsTo, Esbjerg railway station]
-
A.
Esbjerg railway station
chosen
Esbjerg railway station is the main passenger rail hub in the Danish port city of Esbjerg, providing regional and intercity train connections.
-
B.
Vejle Station
Vejle Station is the main railway station in the Danish city of Vejle, serving as a regional and intercity transport hub in Jutland.
-
C.
Horsens railway station
Horsens railway station is the main train station serving the town of Horsens in Denmark, providing regional and intercity rail connections.
-
D.
Odense Station
Odense Station is the main railway hub in Odense, Denmark, serving as a central stop on the country’s intercity and regional rail network.
-
E.
Hjørring Station
Hjørring Station is the main railway station serving the town of Hjørring in northern Denmark, functioning as a regional transport hub for passengers and local rail connections.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aadd30b88190af3a05527ad5ac64 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.