Triple
T33999219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aerobús express airport bus |
E871768
|
entity |
| Predicate | typicalRouteEndpoint |
—
|
GENERATED |
| Object | Plaça de Catalunya |
—
|
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: typicalRouteEndpoint Context triple: [Aerobús express airport bus, typicalRouteEndpoint, Plaça de Catalunya]
-
A.
typicalEndpoint
chosen
Indicates that something represents the standard or commonly used endpoint associated with another entity or process.
-
B.
typicalEntryRoute
Indicates the usual or most common path or method by which something is entered or accessed.
-
C.
exampleRoute
Indicates a route that serves as a representative or illustrative path among possible routes between locations.
-
D.
endPoint
Indicates the terminal location, limit, or final state reached by an object, process, or path in a given relationship or action.
-
E.
testingRoute
Indicates that an entity follows or is assigned to a route used specifically for testing or validation purposes rather than regular operation.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:50 a.m.