Triple
T24779339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravenglass and Eskdale Railway |
E619947
|
entity |
| Predicate | approxJourneyTime |
P109944
|
FINISHED |
| Object | about 40 minutes one way |
—
|
LITERAL FINISHED |
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: about 40 minutes one way | Statement: [Ravenglass and Eskdale Railway, approxJourneyTime, about 40 minutes one way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxJourneyTime Context triple: [Ravenglass and Eskdale Railway, approxJourneyTime, about 40 minutes one way]
-
A.
approximateTripDuration
chosen
Indicates the estimated length of time required to complete a trip between specified locations or points in a journey.
-
B.
approximateDrivingTime
Indicates the estimated amount of time it takes to drive from one location to another under typical conditions.
-
C.
hasApproximateWalkingTimeTo
Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
-
D.
approximateTravelTimeToSheremetyevo
Indicates the estimated amount of time it typically takes to travel from a given location to Sheremetyevo.
-
E.
travelTimeTypical
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
- F. None of above.
Provenance (3 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 4:43 a.m.