Triple
T4210384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinical and Translational Science Awards Program |
E93885
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
National Clinical and Translational Science Network
The National Clinical and Translational Science Network is a U.S. research consortium that links academic medical centers and partners to accelerate the translation of scientific discoveries into improved clinical care and public health.
|
E93885
|
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: National Clinical and Translational Science Network | Statement: [Clinical and Translational Science Awards Program, relatedTo, National Clinical and Translational Science Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Clinical and Translational Science Network Context triple: [Clinical and Translational Science Awards Program, relatedTo, National Clinical and Translational Science Network]
-
A.
National Center for Advancing Translational Sciences
The National Center for Advancing Translational Sciences is a U.S. biomedical research center focused on accelerating the development and delivery of new diagnostics, treatments, and cures by improving the translational science process.
-
B.
Clinical and Translational Science Awards Program
The Clinical and Translational Science Awards Program is a U.S. national consortium that supports academic medical institutions in accelerating the translation of scientific discoveries into improved patient care and public health.
-
C.
Office of Translational Sciences
The Office of Translational Sciences is a scientific office within the U.S. Food and Drug Administration that advances the translation of biomedical research into safe and effective drug therapies through regulatory science, research, and policy development.
-
D.
National Institute of General Medical Sciences
The National Institute of General Medical Sciences is a U.S. government biomedical research institute that supports fundamental, non-disease-specific science and training to advance understanding of biological processes and lay the groundwork for medical advances.
-
E.
National Institute of Nursing Research
The National Institute of Nursing Research is a U.S. federal agency that supports and conducts clinical and basic research to improve health outcomes through nursing science.
- 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: National Clinical and Translational Science Network Triple: [Clinical and Translational Science Awards Program, relatedTo, National Clinical and Translational Science Network]
Generated description
The National Clinical and Translational Science Network is a U.S. research consortium that links academic medical centers and partners to accelerate the translation of scientific discoveries into improved clinical care and public health.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: National Clinical and Translational Science Network Target entity description: The National Clinical and Translational Science Network is a U.S. research consortium that links academic medical centers and partners to accelerate the translation of scientific discoveries into improved clinical care and public health.
-
A.
National Center for Advancing Translational Sciences
The National Center for Advancing Translational Sciences is a U.S. biomedical research center focused on accelerating the development and delivery of new diagnostics, treatments, and cures by improving the translational science process.
-
B.
Clinical and Translational Science Awards Program
chosen
The Clinical and Translational Science Awards Program is a U.S. national consortium that supports academic medical institutions in accelerating the translation of scientific discoveries into improved patient care and public health.
-
C.
Office of Translational Sciences
The Office of Translational Sciences is a scientific office within the U.S. Food and Drug Administration that advances the translation of biomedical research into safe and effective drug therapies through regulatory science, research, and policy development.
-
D.
National Institute of General Medical Sciences
The National Institute of General Medical Sciences is a U.S. government biomedical research institute that supports fundamental, non-disease-specific science and training to advance understanding of biological processes and lay the groundwork for medical advances.
-
E.
National Institute of Nursing Research
The National Institute of Nursing Research is a U.S. federal agency that supports and conducts clinical and basic research to improve health outcomes through nursing science.
- F. None of above.
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_69b34810de648190b09c5e705cf0a74e |
completed | March 12, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5962ec4f8819085bef81ce71aa132 |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b596eb6c288190a63c61d5e71c609b |
completed | March 14, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b59788ef308190a34c2f23f22a7e4d |
completed | March 14, 2026, 5:14 p.m. |
Created at: March 12, 2026, 11:03 p.m.