Triple
T30913694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Saudi Arabia |
E787522
|
entity |
| Predicate | associatedWithTravel |
—
|
GENERATED |
| Object | diplomatic and official travel |
—
|
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: associatedWithTravel Context triple: [Princess of Saudi Arabia, associatedWithTravel, diplomatic and official travel]
-
A.
involvedTravelBetween
Indicates a relationship where an entity participates in or is associated with travel occurring between two specified locations.
-
B.
associatedWithFlightsAt
Indicates a relationship where something is connected or linked to specific flights occurring at a particular location or time.
-
C.
associatedWithFlight
Indicates a relationship where an entity is linked or connected to a specific flight, such as by participation, operation, or relevance.
-
D.
journeyedWith
Indicates that one entity traveled or went on a journey together with another entity as companions.
-
E.
basedOnTravel
Indicates that something is determined, derived, or decided according to travel-related factors, conditions, or information.
- F. None of above. chosen
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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:51 p.m.