Triple

T1452024
Position Surface form Disambiguated ID Type / Status
Subject Agency for Healthcare Research and Quality E31311 entity
Predicate hasProgram P178 FINISHED
Object Evidence-based Practice Centers program
The Evidence-based Practice Centers program is a U.S. initiative that commissions and synthesizes rigorous scientific research to produce evidence reports and technology assessments that inform healthcare decision-making, clinical guidelines, and policy.
E31311 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: Evidence-based Practice Centers program | Statement: [Agency for Healthcare Research and Quality, hasProgram, Evidence-based Practice Centers program]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evidence-based Practice Centers program
Context triple: [Agency for Healthcare Research and Quality, hasProgram, Evidence-based Practice Centers program]
  • A. Center for Clinical Standards and Quality
    The Center for Clinical Standards and Quality is a division of the U.S. federal health system responsible for developing, implementing, and enforcing national healthcare quality and safety standards across Medicare- and Medicaid-participating providers.
  • B. NCI-Designated Cancer Centers Program
    The NCI-Designated Cancer Centers Program is a U.S. network of leading academic and research institutions recognized for excellence in cancer research, treatment, and prevention.
  • C. Clinical Practices of the University of Pennsylvania
    Clinical Practices of the University of Pennsylvania is the faculty practice plan and outpatient clinical arm of Penn Medicine, providing patient care across a wide range of specialties in collaboration with the University of Pennsylvania’s health system.
  • D. 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.
  • E. What Works Clearinghouse
    What Works Clearinghouse is a U.S. government initiative that reviews and summarizes education research to identify and promote evidence-based practices in education.
  • 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: Evidence-based Practice Centers program
Triple: [Agency for Healthcare Research and Quality, hasProgram, Evidence-based Practice Centers program]
Generated description
The Evidence-based Practice Centers program is a U.S. initiative that commissions and synthesizes rigorous scientific research to produce evidence reports and technology assessments that inform healthcare decision-making, clinical guidelines, and policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Evidence-based Practice Centers program
Target entity description: The Evidence-based Practice Centers program is a U.S. initiative that commissions and synthesizes rigorous scientific research to produce evidence reports and technology assessments that inform healthcare decision-making, clinical guidelines, and policy.
  • A. Center for Clinical Standards and Quality
    The Center for Clinical Standards and Quality is a division of the U.S. federal health system responsible for developing, implementing, and enforcing national healthcare quality and safety standards across Medicare- and Medicaid-participating providers.
  • B. NCI-Designated Cancer Centers Program
    The NCI-Designated Cancer Centers Program is a U.S. network of leading academic and research institutions recognized for excellence in cancer research, treatment, and prevention.
  • C. Clinical Practices of the University of Pennsylvania
    Clinical Practices of the University of Pennsylvania is the faculty practice plan and outpatient clinical arm of Penn Medicine, providing patient care across a wide range of specialties in collaboration with the University of Pennsylvania’s health system.
  • D. Agency for Healthcare Research and Quality chosen
    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.
  • E. What Works Clearinghouse
    What Works Clearinghouse is a U.S. government initiative that reviews and summarizes education research to identify and promote evidence-based practices in education.
  • F. None of above.

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.