Triple
T34888536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal–Quebec City |
E1006216
|
entity |
| Predicate | hasCommonTravelTimeByCarHours |
—
|
GENERATED |
| Object | about 2.5 to 3 |
—
|
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: hasCommonTravelTimeByCarHours Context triple: [Montreal–Quebec City, hasCommonTravelTimeByCarHours, about 2.5 to 3]
-
A.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
B.
travelTimeTypical
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
-
C.
approximateTravelTimeCoastToCoast
Indicates the estimated duration required to travel from one coast to the opposite coast.
-
D.
travelTimeAdvantage
Indicates that one option provides a shorter or more favorable travel time compared to another.
-
E.
approximateDrivingTime
chosen
Indicates the estimated amount of time it takes to drive from one location to another under typical conditions.
- 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.