Triple
T11720831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgetown University Medical Center |
E278624
|
entity |
| Predicate | hasResearchCenter |
P40
|
FINISHED |
| Object |
Georgetown-Howard Universities Center for Clinical and Translational Science
The Georgetown-Howard Universities Center for Clinical and Translational Science is a collaborative academic research consortium that accelerates the translation of biomedical discoveries into improved patient care and public health, particularly for diverse and underserved populations.
|
E942831
|
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: Georgetown-Howard Universities Center for Clinical and Translational Science | Statement: [Georgetown University Medical Center, hasResearchCenter, Georgetown-Howard Universities Center for Clinical and Translational Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgetown-Howard Universities Center for Clinical and Translational Science Context triple: [Georgetown University Medical Center, hasResearchCenter, Georgetown-Howard Universities Center for Clinical and Translational Science]
-
A.
Georgetown University Medical Center
Georgetown University Medical Center is an academic medical campus in Washington, D.C., known for its research, clinical care, and health sciences education affiliated with Georgetown University.
-
B.
University of Maryland School of Medicine
The University of Maryland School of Medicine is a public medical school in Baltimore known for its research-intensive programs, clinical training, and role within the University of Maryland system.
-
C.
University of Maryland Medical System
The University of Maryland Medical System is a private, nonprofit regional health care network that operates hospitals and medical facilities across Maryland in affiliation with the University of Maryland School of Medicine.
-
D.
MedStar Georgetown University Hospital
MedStar Georgetown University Hospital is a major academic medical center in Washington, D.C., known for its advanced clinical care, research, and teaching programs.
-
E.
University of Maryland, College Park at Shady Grove
The University of Maryland, College Park at Shady Grove is a satellite location where UMD offers select undergraduate and graduate degree programs on the Universities at Shady Grove campus in Rockville, Maryland.
- 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: Georgetown-Howard Universities Center for Clinical and Translational Science Triple: [Georgetown University Medical Center, hasResearchCenter, Georgetown-Howard Universities Center for Clinical and Translational Science]
Generated description
The Georgetown-Howard Universities Center for Clinical and Translational Science is a collaborative academic research consortium that accelerates the translation of biomedical discoveries into improved patient care and public health, particularly for diverse and underserved populations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Georgetown-Howard Universities Center for Clinical and Translational Science Target entity description: The Georgetown-Howard Universities Center for Clinical and Translational Science is a collaborative academic research consortium that accelerates the translation of biomedical discoveries into improved patient care and public health, particularly for diverse and underserved populations.
-
A.
Georgetown University Medical Center
Georgetown University Medical Center is an academic medical campus in Washington, D.C., known for its research, clinical care, and health sciences education affiliated with Georgetown University.
-
B.
University of Maryland School of Medicine
The University of Maryland School of Medicine is a public medical school in Baltimore known for its research-intensive programs, clinical training, and role within the University of Maryland system.
-
C.
University of Maryland Medical System
The University of Maryland Medical System is a private, nonprofit regional health care network that operates hospitals and medical facilities across Maryland in affiliation with the University of Maryland School of Medicine.
-
D.
MedStar Georgetown University Hospital
MedStar Georgetown University Hospital is a major academic medical center in Washington, D.C., known for its advanced clinical care, research, and teaching programs.
-
E.
University of Maryland, College Park at Shady Grove
The University of Maryland, College Park at Shady Grove is a satellite location where UMD offers select undergraduate and graduate degree programs on the Universities at Shady Grove campus in Rockville, Maryland.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c373088190bc2ae77a1696d280 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83b9131c819085f7bcab902c3763 |
completed | April 27, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69ef96b13be881908102ffa867f96c22 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efb51113708190998b570c33b9d0e7 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 8, 2026, 9:40 p.m.