Triple
T19477503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UMass Memorial Health |
E487285
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Marlborough Hospital
Marlborough Hospital is a community healthcare facility in Marlborough, Massachusetts, providing a range of medical and surgical services as part of the UMass Memorial Health system.
|
E1378378
|
NE FINISHED |
How this triple was built (3 steps)
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: Marlborough Hospital Context triple: [UMass Memorial Health, operates, Marlborough Hospital]
-
A.
Milton Hospital
Milton Hospital is a community medical facility in Milton, Massachusetts, that became part of the Beth Israel Deaconess (BID) health system.
-
B.
Exeter Hospital
Exeter Hospital is a community-based healthcare facility in Exeter, New Hampshire, providing medical and surgical services to residents of the surrounding region.
-
C.
Athol Hospital
Athol Hospital is a community healthcare facility serving residents of Athol and the surrounding North Quabbin region in north-central Massachusetts.
-
D.
Falmouth Hospital
Falmouth Hospital is a community healthcare facility serving the medical needs of residents and visitors in Falmouth, Massachusetts.
-
E.
St. Mary’s General Hospital
St. Mary’s General Hospital is a regional acute-care hospital in Kitchener, Ontario, known for providing comprehensive medical and surgical services to the surrounding community.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marlborough Hospital Triple: [UMass Memorial Health, operates, Marlborough Hospital]
Generated description
Marlborough Hospital is a community healthcare facility in Marlborough, Massachusetts, providing a range of medical and surgical services as part of the UMass Memorial Health system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marlborough Hospital Target entity description: Marlborough Hospital is a community healthcare facility in Marlborough, Massachusetts, providing a range of medical and surgical services as part of the UMass Memorial Health system.
-
A.
Milton Hospital
Milton Hospital is a community medical facility in Milton, Massachusetts, that became part of the Beth Israel Deaconess (BID) health system.
-
B.
Exeter Hospital
Exeter Hospital is a community-based healthcare facility in Exeter, New Hampshire, providing medical and surgical services to residents of the surrounding region.
-
C.
Athol Hospital
Athol Hospital is a community healthcare facility serving residents of Athol and the surrounding North Quabbin region in north-central Massachusetts.
-
D.
Falmouth Hospital
Falmouth Hospital is a community healthcare facility serving the medical needs of residents and visitors in Falmouth, Massachusetts.
-
E.
St. Mary’s General Hospital
St. Mary’s General Hospital is a regional acute-care hospital in Kitchener, Ontario, known for providing comprehensive medical and surgical services to the surrounding community.
- F. None of above. chosen
Provenance (4 batches)
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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074053f7b48190a726ef5e285ed62a |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a07412a04d0819087c4dc7b5f2742ad |
completed | May 15, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074197aa14819096a74aab7bca9e3c |
completed | May 15, 2026, 3:53 p.m. |
Created at: April 10, 2026, 1:39 p.m.