Triple
T26246063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I-35E Trinity River Bridge |
E656447
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | bridge in Dallas, Texas |
C51305
|
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 Dallas, Texas Context triple: [I-35E Trinity River Bridge, instanceOf, bridge in Dallas, Texas]
-
A.
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.
-
B.
bridge in Columbus, Ohio
A bridge in Columbus, Ohio is a structural crossing—often spanning the Scioto or Olentangy Rivers—that supports vehicular, pedestrian, or rail traffic and connects different parts of the city’s urban and transportation network.
-
C.
bridge in Philadelphia
A bridge in Philadelphia is a large, engineered structure spanning a physical obstacle such as the Schuylkill or Delaware River within the Philadelphia area, enabling the safe and efficient movement of vehicles, pedestrians, or trains.
-
D.
bridge in Seattle
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.
-
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. 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
Created at: April 26, 2026, 9:05 p.m.