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.