Triple
T17900515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Avenue Bridge |
E447560
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | bridge in Washington State |
C28614
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: bridge in Washington State Context triple: [Warren Avenue Bridge, instanceOf, bridge in Washington State]
-
A.
bridge in Seattle
chosen
A bridge in Seattle is a structural crossing—often spanning water or valleys—that connects different parts of the city or region, accommodating vehicles, pedestrians, and sometimes rail while withstanding the Pacific Northwest’s climate and seismic conditions.
-
B.
river bridge
A river bridge is a structure built to span a river, providing a stable pathway for vehicles, pedestrians, or rail traffic to cross from one bank to the other.
-
C.
bridge in New York City
A bridge in New York City is a large-scale transportation structure spanning waterways or land to connect boroughs and neighborhoods, supporting vehicular, rail, bicycle, and pedestrian traffic within the city’s dense urban environment.
-
D.
Hudson River bridge
A Hudson River bridge is a large transportation structure spanning the Hudson River to connect communities and facilitate the movement of vehicles, trains, pedestrians, or utilities between its banks.
-
E.
bridge in California
A bridge in California is a man-made structure that spans physical obstacles such as water, valleys, or roads within the state of California to provide transportation routes for vehicles, pedestrians, or rail.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:19 a.m.