Triple
T30053969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Entrance of Zion National Park |
E763675
|
entity |
| Predicate | typicalTrafficLevel |
—
|
GENERATED |
| Object | high visitation |
—
|
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: typicalTrafficLevel Context triple: [South Entrance of Zion National Park, typicalTrafficLevel, high visitation]
-
A.
trafficLevel
Indicates the degree of congestion or flow intensity present in a transportation network or route at a given time.
-
B.
relativeTrafficLevel
Indicates the comparative intensity or volume of traffic between two or more locations, routes, or time periods.
-
C.
hasLevelOfTraffic
chosen
Indicates the degree or intensity of traffic present in or affecting a given entity or location.
-
D.
hasTransitTrafficLevel
Indicates the level or intensity of transit traffic associated with an entity, such as a road segment, route, or area.
-
E.
hasPedestrianTrafficLevel
Indicates the level or intensity of pedestrian traffic associated with a given location or pathway.
- 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 6:56 p.m.