Triple

T1452021
Position Surface form Disambiguated ID Type / Status
Subject Agency for Healthcare Research and Quality E31311 entity
Predicate hasProgram P178 FINISHED
Object 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.
E165820 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: Medical Expenditure Panel Survey | Statement: [Agency for Healthcare Research and Quality, hasProgram, Medical Expenditure Panel Survey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medical Expenditure Panel Survey
Context triple: [Agency for Healthcare Research and Quality, hasProgram, Medical Expenditure Panel Survey]
  • A. 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.
  • B. MEPS
    MEPS is a U.S. Department of Defense facility where prospective military recruits undergo medical examinations, aptitude testing, and enlistment processing before entering active service.
  • C. Agency for Healthcare Research and Quality
    The Agency for Healthcare Research and Quality is a U.S. federal agency that conducts and supports research to improve the quality, safety, efficiency, and effectiveness of healthcare for all Americans.
  • D. U.S. Federal Statistical System
    The U.S. Federal Statistical System is the decentralized network of federal agencies responsible for collecting, analyzing, and disseminating official national statistics on the economy, population, health, and other key aspects of American life.
  • E. National Incident-Based Reporting System
    The National Incident-Based Reporting System is a U.S. crime data collection program that compiles detailed, incident-level information on offenses reported to law enforcement agencies nationwide.
  • 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: Medical Expenditure Panel Survey
Triple: [Agency for Healthcare Research and Quality, hasProgram, Medical Expenditure Panel Survey]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Medical Expenditure Panel Survey
Target entity description: 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.
  • A. 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.
  • B. MEPS
    MEPS is a U.S. Department of Defense facility where prospective military recruits undergo medical examinations, aptitude testing, and enlistment processing before entering active service.
  • C. Agency for Healthcare Research and Quality
    The Agency for Healthcare Research and Quality is a U.S. federal agency that conducts and supports research to improve the quality, safety, efficiency, and effectiveness of healthcare for all Americans.
  • D. U.S. Federal Statistical System
    The U.S. Federal Statistical System is the decentralized network of federal agencies responsible for collecting, analyzing, and disseminating official national statistics on the economy, population, health, and other key aspects of American life.
  • E. National Incident-Based Reporting System
    The National Incident-Based Reporting System is a U.S. crime data collection program that compiles detailed, incident-level information on offenses reported to law enforcement agencies nationwide.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57d34cc8190801b769d9d9b2e2e completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c6f7c881908d1ef9f7897895a6 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad0a53fa6c8190bc44e8a3f9aec62f completed March 8, 2026, 5:34 a.m.
NED2 Entity disambiguation (via description) batch_69ad0aefb1c88190a368d68454a0b9d0 completed March 8, 2026, 5:36 a.m.
Created at: March 1, 2026, 8 p.m.