Triple
T1568320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Columbia Department of Health |
E33482
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Health Regulation and Licensing Administration
The Health Regulation and Licensing Administration is a division of the District of Columbia’s health department responsible for licensing, regulating, and overseeing health care facilities and professionals to ensure public safety and quality of care.
|
E179638
|
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: Health Regulation and Licensing Administration | Statement: [District of Columbia Department of Health, hasPart, Health Regulation and Licensing Administration]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Health Regulation and Licensing Administration Context triple: [District of Columbia Department of Health, hasPart, Health Regulation and Licensing Administration]
-
A.
Health Services Administration
Health Services Administration was a former U.S. federal agency responsible for overseeing and coordinating national health services programs before its functions were incorporated into the Health Resources and Services Administration.
-
B.
professional licensing administration
Professional licensing administration is the governmental function of reviewing qualifications, issuing, renewing, and regulating licenses for individuals and businesses in regulated professions.
-
C.
Division of Licensing Services
The Division of Licensing Services is a New York State government office responsible for regulating, licensing, and overseeing various professions and occupations within the state.
-
D.
Bureau of Health Care Safety and Quality
The Bureau of Health Care Safety and Quality is a division of Massachusetts state government responsible for overseeing and improving the safety, quality, and regulatory compliance of health care facilities and services.
-
E.
Office of Health Affairs
The Office of Health Affairs is a U.S. Department of Homeland Security component responsible for medical, health, and biodefense preparedness, including programs that monitor and respond to biological threats.
- 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: Health Regulation and Licensing Administration Triple: [District of Columbia Department of Health, hasPart, Health Regulation and Licensing Administration]
Generated description
The Health Regulation and Licensing Administration is a division of the District of Columbia’s health department responsible for licensing, regulating, and overseeing health care facilities and professionals to ensure public safety and quality of care.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Health Regulation and Licensing Administration Target entity description: The Health Regulation and Licensing Administration is a division of the District of Columbia’s health department responsible for licensing, regulating, and overseeing health care facilities and professionals to ensure public safety and quality of care.
-
A.
Health Services Administration
Health Services Administration was a former U.S. federal agency responsible for overseeing and coordinating national health services programs before its functions were incorporated into the Health Resources and Services Administration.
-
B.
professional licensing administration
Professional licensing administration is the governmental function of reviewing qualifications, issuing, renewing, and regulating licenses for individuals and businesses in regulated professions.
-
C.
Division of Licensing Services
The Division of Licensing Services is a New York State government office responsible for regulating, licensing, and overseeing various professions and occupations within the state.
-
D.
Bureau of Health Care Safety and Quality
The Bureau of Health Care Safety and Quality is a division of Massachusetts state government responsible for overseeing and improving the safety, quality, and regulatory compliance of health care facilities and services.
-
E.
Office of Health Affairs
The Office of Health Affairs is a U.S. Department of Homeland Security component responsible for medical, health, and biodefense preparedness, including programs that monitor and respond to biological threats.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908a15e308190b8bec55d1712812a |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4023da008190a947cf0d2983df2e |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad410ba7f881909dcee6e6fd56490f |
completed | March 8, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41ff0b0c8190b5429ed6952a0ce6 |
completed | March 8, 2026, 9:31 a.m. |
Created at: March 4, 2026, 7:27 p.m.