Triple
T31012359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid–Barcelona high-speed line |
E790239
|
entity |
| Predicate | typicalNonstopJourneyTime |
—
|
GENERATED |
| Object | about 2.5 hours |
—
|
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: typicalNonstopJourneyTime Context triple: [Madrid–Barcelona high-speed line, typicalNonstopJourneyTime, about 2.5 hours]
-
A.
typicalStopoverDuration
Indicates the usual length of time that an intermediate stop or layover between two parts of a journey typically lasts.
-
B.
flightDuration
Indicates the length of time that a specific flight takes from departure to arrival.
-
C.
travelTimeTypical
chosen
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
-
D.
flightDuration_minutes
Indicates the length of time, measured in minutes, that a specific flight or air travel segment takes from departure to arrival.
-
E.
isNonStop
Indicates that a service, trip, or process occurs from start to finish without any intermediate stops or interruptions.
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:57 p.m.