Triple
T6506802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swisshelm Park |
E150028
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Pittsburgh neighborhood |
C27
|
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: Pittsburgh neighborhood Context triple: [Swisshelm Park, instanceOf, Pittsburgh neighborhood]
-
A.
Brooklyn neighborhood
A Brooklyn neighborhood is a distinct urban area within the borough of Brooklyn characterized by its unique blend of residential streets, local businesses, cultural communities, and architectural styles.
-
B.
Community area of Chicago
A Community area of Chicago is one of the city’s 77 officially defined geographic divisions used for urban planning, statistical analysis, and neighborhood identification.
-
C.
neighborhood in Yonkers, New York
A neighborhood in Yonkers, New York is a distinct residential and/or mixed-use area within the city characterized by its local community, physical boundaries, architectural style, amenities, and social identity.
-
D.
New Orleans neighborhood
A New Orleans neighborhood is a distinct urban district within the city characterized by its unique blend of historical architecture, cultural traditions, local cuisine, and community identity shaped by the city’s Creole, French, Spanish, and African-American heritage.
-
E.
neighborhood
chosen
A neighborhood is a geographically localized community within a larger city or town, characterized by shared residential spaces, social interactions, and common amenities.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
Created at: March 27, 2026, 1:43 p.m.