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.