Triple
T21268686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolochenaz railway station |
E524196
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | Mobilis Vaud |
—
|
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: Mobilis Vaud | Statement: [Tolochenaz railway station, fareSystem, Mobilis Vaud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mobilis Vaud Context triple: [Tolochenaz railway station, fareSystem, Mobilis Vaud]
-
A.
Mobilis Vaud
chosen
Mobilis Vaud is the integrated public transport fare network for the canton of Vaud in Switzerland, covering trains, buses, and other regional transit services under a unified ticketing system.
-
B.
Mustér
Mustér is the Romansh name for the Swiss Alpine municipality and monastery town of Disentis in the canton of Graubünden.
-
C.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
D.
Magaro
Magaro is an Italian-origin surname most notably borne by American actor John Magaro.
-
E.
Bernmobil
Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651115081908b5083ba818a6bb1 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.