Triple
T19923263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto–Niagara Falls corridor |
E478852
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | VIA Rail Canada |
—
|
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: VIA Rail Canada | Statement: [Toronto–Niagara Falls corridor, servedBy, VIA Rail Canada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VIA Rail Canada Context triple: [Toronto–Niagara Falls corridor, servedBy, VIA Rail Canada]
-
A.
Via Rail
chosen
Via Rail is Canada's national intercity passenger rail service, operating train routes that connect major cities and regions across the country.
-
B.
MK Rail
MK Rail was an American locomotive manufacturer and remanufacturer known for rebuilding and upgrading diesel-electric locomotives for railroads.
-
C.
Réseau Ferré National
Réseau Ferré National is the French national railway infrastructure network that encompasses the country’s main rail lines and stations, including Paris-Nord.
-
D.
NFS (Via Rail)
NFS (Via Rail) is the station code used by VIA Rail Canada for its Niagara Falls, Ontario passenger rail station.
-
E.
Canadian National Railway
Canadian National Railway is a major Canadian freight railway company that operates an extensive rail network across Canada and into the United States.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c7be948190a65a1c78ba68dff3 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.