Triple
T11278746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Slagbaai National Park |
E267004
|
entity |
| Predicate | hasDrivingRoutes |
P11026
|
FINISHED |
| Object | long driving route |
—
|
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: long driving route | Statement: [Washington Slagbaai National Park, hasDrivingRoutes, long driving route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrivingRoutes Context triple: [Washington Slagbaai National Park, hasDrivingRoutes, long driving route]
-
A.
withinDrivingRoute
Indicates that one location can be reached from another via a practical or allowable driving route, typically within a reasonable distance or time.
-
B.
hasTransportRoute
chosen
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
C.
canProvideDirections
Indicates that one entity is able to give another entity guidance or instructions on how to reach a particular location or navigate a route.
-
D.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
E.
hadTransportRoutes
Indicates that there were established transportation routes or connections between the related entities.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e967ebb4819080b09ed3cec44e77 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.