Triple
T12980420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American College of Preventive Medicine |
E321637
|
entity |
| Predicate | hasProgram |
P178
|
FINISHED |
| Object |
lifestyle medicine core competencies program
The lifestyle medicine core competencies program is a professional education initiative that trains healthcare providers to prevent, treat, and manage chronic disease through evidence-based lifestyle interventions.
|
E1014174
|
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: lifestyle medicine core competencies program | Statement: [American College of Preventive Medicine, hasProgram, lifestyle medicine core competencies program]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: lifestyle medicine core competencies program Context triple: [American College of Preventive Medicine, hasProgram, lifestyle medicine core competencies program]
-
A.
Centre for Lifestyle and Disease Prevention
The Centre for Lifestyle and Disease Prevention is a specialized unit within Norway’s public health system that focuses on research, surveillance, and interventions related to lifestyle factors and the prevention of chronic diseases.
-
B.
Teaching Health Center Graduate Medical Education Program
The Teaching Health Center Graduate Medical Education Program is a federal initiative that funds and supports residency training in community-based, primary care settings to expand the healthcare workforce in underserved areas.
-
C.
national center for health sciences education
The national center for health sciences education is a leading Philippine institution dedicated to training health professionals, advancing biomedical research, and shaping national health policy and practice.
-
D.
Wellness Center
The Wellness Center at Shepherd University is a campus facility dedicated to promoting student health and well-being through fitness, recreation, and wellness services.
-
E.
State Physical Activity and Nutrition Program
The State Physical Activity and Nutrition Program is a U.S. public health initiative that supports states in implementing evidence-based strategies to improve physical activity, nutrition, and related chronic disease outcomes at the population level.
- 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: lifestyle medicine core competencies program Triple: [American College of Preventive Medicine, hasProgram, lifestyle medicine core competencies program]
Generated description
The lifestyle medicine core competencies program is a professional education initiative that trains healthcare providers to prevent, treat, and manage chronic disease through evidence-based lifestyle interventions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: lifestyle medicine core competencies program Target entity description: The lifestyle medicine core competencies program is a professional education initiative that trains healthcare providers to prevent, treat, and manage chronic disease through evidence-based lifestyle interventions.
-
A.
Centre for Lifestyle and Disease Prevention
The Centre for Lifestyle and Disease Prevention is a specialized unit within Norway’s public health system that focuses on research, surveillance, and interventions related to lifestyle factors and the prevention of chronic diseases.
-
B.
Teaching Health Center Graduate Medical Education Program
The Teaching Health Center Graduate Medical Education Program is a federal initiative that funds and supports residency training in community-based, primary care settings to expand the healthcare workforce in underserved areas.
-
C.
national center for health sciences education
The national center for health sciences education is a leading Philippine institution dedicated to training health professionals, advancing biomedical research, and shaping national health policy and practice.
-
D.
Wellness Center
The Wellness Center at Shepherd University is a campus facility dedicated to promoting student health and well-being through fitness, recreation, and wellness services.
-
E.
State Physical Activity and Nutrition Program
The State Physical Activity and Nutrition Program is a U.S. public health initiative that supports states in implementing evidence-based strategies to improve physical activity, nutrition, and related chronic disease outcomes at the population level.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e5b993481908f94fe096ade441b |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f200c88190a2aab15373cbedf5 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6ba0904e8819098bae29961bf0046 |
completed | May 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb8216fc8190a0119d434adf13a5 |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:39 p.m.