Triple
T34888504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal–Quebec City |
E1006216
|
entity |
| Predicate | hasMajorModeOfTransport |
—
|
GENERATED |
| Object | rail |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorModeOfTransport Context triple: [Montreal–Quebec City, hasMajorModeOfTransport, rail]
-
A.
hasPrimaryTransportationMode
chosen
Indicates the main or most frequently used mode of transportation associated with an entity.
-
B.
hasSecondaryTransportationMode
Indicates that an entity is associated with an additional, non-primary mode of transportation it can use or provide.
-
C.
hasTransportationAbove
Indicates that one entity provides or has transportation infrastructure or services located above another entity (e.g., elevated roads, railways, or transit lines).
-
D.
usedTransportationMode
Indicates that an entity traveled or moved using a specified mode of transportation.
-
E.
hasPublicTransitMode
Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
- F. None of above.
Provenance (1 batch)
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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.