Triple
T38376315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xo Viet Nghe Tinh Street |
E893630
|
entity |
| Predicate | typicalTrafficMode |
—
|
GENERATED |
| Object | motorbikes |
—
|
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: typicalTrafficMode Context triple: [Xo Viet Nghe Tinh Street, typicalTrafficMode, motorbikes]
-
A.
hasTrafficMode
Indicates the mode or type of traffic associated with or applicable to an entity (e.g., pedestrian, vehicular, public transit).
-
B.
majorTrafficType
chosen
Indicates the primary kind of traffic or flow that predominantly characterizes a given route, segment, or transportation context.
-
C.
coversTrafficType
Indicates that one entity includes, handles, or applies to a specified type or category of traffic.
-
D.
typicalLanes
Indicates the usual or standard number or configuration of lanes associated with a road or similar transportation segment.
-
E.
hasTrafficPattern
Indicates that there is a characteristic or recurring flow of traffic associated with an entity, such as its typical volume, direction, or timing of movement.
- 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.