Triple
T35810762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veterans Memorial Bridge (Fall River–Somerset) |
E1035222
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | bridge in Massachusetts |
C40332
|
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 Massachusetts Context triple: [Veterans Memorial Bridge (Fall River–Somerset), instanceOf, bridge in Massachusetts]
-
A.
bridge in Boston
A bridge in Boston is a structural crossing, often spanning the Charles River or Boston Harbor, that connects different parts of the city or surrounding areas for vehicular, pedestrian, and sometimes rail traffic.
-
B.
bridge in Bristol
chosen
A bridge in Bristol is a structural crossing—such as the iconic Clifton Suspension Bridge—spanning a river, road, or gorge within or near the city to connect different areas and support transport and movement.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.