Triple
T7116024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medical Expenditure Panel Survey |
E165820
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
National Medical Expenditure Survey
The National Medical Expenditure Survey was a large-scale U.S. government survey that collected detailed data on Americans’ health care use, costs, and insurance coverage, serving as a foundational source for health policy research.
|
E641843
|
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 Medical Expenditure Survey | Statement: [Medical Expenditure Panel Survey, predecessor, National Medical Expenditure Survey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Medical Expenditure Survey Context triple: [Medical Expenditure Panel Survey, predecessor, National Medical Expenditure Survey]
-
A.
Medical Expenditure Panel Survey
The Medical Expenditure Panel Survey is a large-scale, nationally representative U.S. survey that collects detailed data on healthcare use, costs, insurance coverage, and access to care for individuals and families.
-
B.
NAHMS
NAHMS is a U.S. Department of Agriculture program that conducts nationwide studies to monitor and report on the health, management, and productivity of domestic livestock populations.
-
C.
Behavioral Risk Factor Surveillance System
The Behavioral Risk Factor Surveillance System is a large, ongoing U.S. health-related telephone survey system that collects data on health behaviors, chronic conditions, and preventive service use among adults.
-
D.
American Community Survey
The American Community Survey is an ongoing nationwide survey conducted by the U.S. Census Bureau that provides detailed annual demographic, social, economic, and housing data about the U.S. population.
-
E.
Public Expenditure Survey system
The Public Expenditure Survey system was a former UK government framework for planning, controlling, and reviewing public spending across departments.
- 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 Medical Expenditure Survey Triple: [Medical Expenditure Panel Survey, predecessor, National Medical Expenditure Survey]
Generated description
The National Medical Expenditure Survey was a large-scale U.S. government survey that collected detailed data on Americans’ health care use, costs, and insurance coverage, serving as a foundational source for health policy research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: National Medical Expenditure Survey Target entity description: The National Medical Expenditure Survey was a large-scale U.S. government survey that collected detailed data on Americans’ health care use, costs, and insurance coverage, serving as a foundational source for health policy research.
-
A.
Medical Expenditure Panel Survey
The Medical Expenditure Panel Survey is a large-scale, nationally representative U.S. survey that collects detailed data on healthcare use, costs, insurance coverage, and access to care for individuals and families.
-
B.
NAHMS
NAHMS is a U.S. Department of Agriculture program that conducts nationwide studies to monitor and report on the health, management, and productivity of domestic livestock populations.
-
C.
Behavioral Risk Factor Surveillance System
The Behavioral Risk Factor Surveillance System is a large, ongoing U.S. health-related telephone survey system that collects data on health behaviors, chronic conditions, and preventive service use among adults.
-
D.
American Community Survey
The American Community Survey is an ongoing nationwide survey conducted by the U.S. Census Bureau that provides detailed annual demographic, social, economic, and housing data about the U.S. population.
-
E.
Public Expenditure Survey system
The Public Expenditure Survey system was a former UK government framework for planning, controlling, and reviewing public spending across departments.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5f401b881909ef4c2ab1e0750db |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cbfc7a08190ab07f3d65aa79f16 |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d0215888190b0e59c2584358a05 |
completed | March 28, 2026, 9:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79d63b6dc8190b3b52ef6566ba490 |
completed | March 28, 2026, 9:20 a.m. |
Created at: March 27, 2026, 2:43 p.m.