Triple
T18827723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenside, Pennsylvania |
E460435
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | suburb of Philadelphia |
C21767
|
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: suburb of Philadelphia Context triple: [Glenside, Pennsylvania, instanceOf, suburb of Philadelphia]
-
A.
section of Philadelphia
A section of Philadelphia is a distinct geographic area within the city, typically characterized by shared residential, commercial, cultural, or historical features that give it a recognizable local identity.
-
B.
suburb of Chicago
A suburb of Chicago is a residential community located outside the city’s core that is economically and socially tied to Chicago, often featuring lower-density housing, local schools, and commuter access to the city.
-
C.
township in Pennsylvania
A township in Pennsylvania is a type of municipal subdivision of a county that provides local government services to residents in areas that are typically less densely populated than cities or boroughs.
-
D.
municipality in Pennsylvania
chosen
A municipality in Pennsylvania is a legally defined local government entity—such as a city, borough, township, or town—responsible for providing public services and governance within its geographic boundaries in the state of Pennsylvania.
-
E.
borough in New Jersey
A borough in New Jersey is a type of municipal government, typically smaller and more residential than a city, with its own elected officials and local administrative powers as defined by state law.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.