Triple
T8299729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Southampton Township |
E194319
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | township of Pennsylvania |
C18342
|
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: township of Pennsylvania Context triple: [Lower Southampton Township, instanceOf, township of Pennsylvania]
-
A.
township in Pennsylvania
chosen
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.
-
B.
municipality in Pennsylvania
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.
-
C.
county of Pennsylvania
A county of Pennsylvania is an administrative and geographic subdivision of the Commonwealth of Pennsylvania that provides local government services, maintains public records, and serves as a jurisdictional unit for courts, elections, and taxation.
-
D.
civil township
A civil township is a local unit of government, typically a subdivision of a county, that provides administrative and public services to residents in rural or semi-rural areas.
-
E.
township in Illinois
A township in Illinois is a local governmental subdivision of a county that provides services such as road maintenance, property assessment, and general assistance to residents within its defined geographic boundaries.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
Created at: March 30, 2026, 5:53 p.m.