Triple
T19395788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utrecht–Kampen railway |
E485184
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Kampen 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: Kampen railway station | Statement: [Utrecht–Kampen railway, hasStation, Kampen railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kampen railway station Context triple: [Utrecht–Kampen railway, hasStation, Kampen railway station]
-
A.
Kampen station
chosen
Kampen station is a railway station in the city of Kampen in the Netherlands, serving as a local stop on the regional rail network.
-
B.
Basmane railway station
Basmane railway station is a historic central train terminal in İzmir, Turkey, serving as a major hub for regional and intercity rail services.
-
C.
Bleiken Station
Bleiken Station is a local railway stop serving the village of Bleiken in the municipality of Gran, Norway.
-
D.
Bro railway station
Bro railway station is a local commuter rail stop in Bro, Sweden, serving as part of the Stockholm commuter rail network.
-
E.
Trang railway station
Trang railway station is the main railway hub serving the town and province of Trang in southern Thailand, connecting the region to the national rail network.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b4875ac8190a9c184c075b5db16 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.