Triple
T19477511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UMass Memorial Health |
E487285
|
entity |
| Predicate | serviceArea |
P82
|
FINISHED |
| Object | Worcester County, Massachusetts |
—
|
NE GENERATED |
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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worcester County, Massachusetts Context triple: [UMass Memorial Health, serviceArea, Worcester County, Massachusetts]
-
A.
Worcester County, Massachusetts
chosen
Worcester County, Massachusetts is a large central Massachusetts county that includes the city of Worcester and serves as a key geographic and economic link between the Boston metropolitan area and western New England.
-
B.
Hampden County, Massachusetts
Hampden County, Massachusetts is a county in western Massachusetts that includes the city of Springfield and forms part of the state's Pioneer Valley region along the Connecticut River.
-
C.
Bristol County, Massachusetts
Bristol County, Massachusetts is a southeastern Massachusetts county that includes cities such as New Bedford, Fall River, and Taunton and is known for its historic maritime and industrial heritage.
-
D.
Norfolk County, Massachusetts
Norfolk County, Massachusetts is a county in the Greater Boston area known for its historic towns, affluent suburbs, and role as part of the Boston metropolitan region.
-
E.
Franklin County, Massachusetts
Franklin County, Massachusetts is a largely rural county in the northwestern part of the state, known for its small towns, forests, and location along the upper Connecticut River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
Created at: April 10, 2026, 1:39 p.m.