Triple
T4206840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Washington Department of Global Health |
E93802
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Seattle Children’s Hospital
Seattle Children’s Hospital is a leading pediatric medical center and research institution in Seattle, Washington, specializing in comprehensive healthcare for infants, children, and adolescents.
|
E421276
|
NE FINISHED |
How this triple was built (4 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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Seattle Children’s Hospital | Statement: [University of Washington Department of Global Health, collaboratesWith, Seattle Children’s Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seattle Children’s Hospital Context triple: [University of Washington Department of Global Health, collaboratesWith, Seattle Children’s Hospital]
-
A.
Doernbecher Children’s Hospital
Doernbecher Children’s Hospital is a leading pediatric medical center in Portland, Oregon, renowned for its specialized care, research, and treatment of complex childhood illnesses.
-
B.
University of Washington Medical Center
The University of Washington Medical Center is a major academic medical center in Seattle known for advanced specialty care, medical research, and training of healthcare professionals.
-
C.
Shriners Hospitals for Children – Portland
Shriners Hospitals for Children – Portland is a pediatric specialty hospital in Portland, Oregon, known for providing expert orthopedic and rehabilitative care to children regardless of families’ ability to pay.
-
D.
UCSF Benioff Children’s Hospital San Francisco
UCSF Benioff Children’s Hospital San Francisco is a leading pediatric medical center in San Francisco, California, renowned for advanced specialty care, research, and teaching as part of the University of California, San Francisco health system.
-
E.
Harborview Medical Center
Harborview Medical Center is a major public teaching hospital and Level I trauma center in Seattle known for providing specialized emergency and safety-net care for the region.
- 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: Seattle Children’s Hospital Triple: [University of Washington Department of Global Health, collaboratesWith, Seattle Children’s Hospital]
Generated description
Seattle Children’s Hospital is a leading pediatric medical center and research institution in Seattle, Washington, specializing in comprehensive healthcare for infants, children, and adolescents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seattle Children’s Hospital Target entity description: Seattle Children’s Hospital is a leading pediatric medical center and research institution in Seattle, Washington, specializing in comprehensive healthcare for infants, children, and adolescents.
-
A.
Doernbecher Children’s Hospital
Doernbecher Children’s Hospital is a leading pediatric medical center in Portland, Oregon, renowned for its specialized care, research, and treatment of complex childhood illnesses.
-
B.
University of Washington Medical Center
The University of Washington Medical Center is a major academic medical center in Seattle known for advanced specialty care, medical research, and training of healthcare professionals.
-
C.
Shriners Hospitals for Children – Portland
Shriners Hospitals for Children – Portland is a pediatric specialty hospital in Portland, Oregon, known for providing expert orthopedic and rehabilitative care to children regardless of families’ ability to pay.
-
D.
UCSF Benioff Children’s Hospital San Francisco
UCSF Benioff Children’s Hospital San Francisco is a leading pediatric medical center in San Francisco, California, renowned for advanced specialty care, research, and teaching as part of the University of California, San Francisco health system.
-
E.
Harborview Medical Center
Harborview Medical Center is a major public teaching hospital and Level I trauma center in Seattle known for providing specialized emergency and safety-net care for the region.
- F. None of above. chosen
Provenance (5 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3480cfacc81909a2705eb4e9ce8c1 |
completed | March 12, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b59628da008190ae0e458ed3a5890b |
completed | March 14, 2026, 5:08 p.m. |
| NEDg | Description generation | batch_69b596b7330081908c66a5a756531ffd |
completed | March 14, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b59762105481908e3534600486b82d |
completed | March 14, 2026, 5:14 p.m. |
Created at: March 12, 2026, 11:03 p.m.