Triple
T22477827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bigelow Boulevard |
E555680
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | street in Pittsburgh |
C31410
|
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: street in Pittsburgh Context triple: [Bigelow Boulevard, instanceOf, street in Pittsburgh]
-
A.
road in Pittsburgh
chosen
A road in Pittsburgh is a public vehicular thoroughfare within the city’s hilly, river-divided landscape, often featuring bridges, tunnels, and irregular intersections shaped by the region’s topography and historic development.
-
B.
street in Chicago
A street in Chicago is a public urban thoroughfare within the city’s grid system that facilitates vehicular and pedestrian movement while connecting residential, commercial, and cultural areas.
-
C.
street in Buffalo, New York
A street in Buffalo, New York is a public roadway within the city’s urban grid that facilitates vehicular and pedestrian movement while connecting residential, commercial, and civic areas characteristic of Buffalo’s regional architecture and infrastructure.
-
D.
street in New York City
A street in New York City is a public urban thoroughfare lined with diverse buildings and infrastructure that supports vehicular, pedestrian, and commercial activity within the city's dense grid layout.
-
E.
street in Plzeň
A street in Plzeň is a public urban thoroughfare within the city’s layout that facilitates vehicular and pedestrian movement while connecting residential, commercial, and cultural areas of Plzeň.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:49 p.m.