Triple

T108274
Position Surface form Disambiguated ID Type / Status
Subject Drug Enforcement Administration E2185 entity
Predicate hasProgram P178 FINISHED
Object Prescription Drug Take Back Program
The Prescription Drug Take Back Program is a U.S. Drug Enforcement Administration initiative that provides safe, convenient, and responsible ways for the public to dispose of unused or expired prescription medications.
E10936 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: Prescription Drug Take Back Program | Statement: [Drug Enforcement Administration, hasProgram, Prescription Drug Take Back Program]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prescription Drug Take Back Program
Context triple: [Drug Enforcement Administration, hasProgram, Prescription Drug Take Back Program]
  • A. Drug-Free Communities Support Program
    The Drug-Free Communities Support Program is a federal grant initiative that funds and supports local community coalitions in their efforts to prevent youth substance use across the United States.
  • B. Anti-Drug Abuse Act of 1988
    The Anti-Drug Abuse Act of 1988 is a U.S. federal law that expanded the war on drugs by increasing penalties, funding enforcement and treatment programs, and establishing a coordinated national drug control strategy.
  • C. National Institute on Drug Abuse
    The National Institute on Drug Abuse is a U.S. federal research agency that leads scientific study on drug use, addiction, and their health impacts to inform prevention, treatment, and policy.
  • D. High Intensity Drug Trafficking Areas program
    The High Intensity Drug Trafficking Areas program is a U.S. federal initiative that provides resources and coordination to law enforcement agencies in regions most affected by drug trafficking to reduce drug production, distribution, and related crime.
  • E. Substance Abuse and Mental Health Services Administration
    The Substance Abuse and Mental Health Services Administration (SAMHSA) is a U.S. federal agency within the Department of Health and Human Services that leads national efforts to improve behavioral health and reduce the impact of substance abuse and mental illness.
  • 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: Prescription Drug Take Back Program
Triple: [Drug Enforcement Administration, hasProgram, Prescription Drug Take Back Program]
Generated description
The Prescription Drug Take Back Program is a U.S. Drug Enforcement Administration initiative that provides safe, convenient, and responsible ways for the public to dispose of unused or expired prescription medications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prescription Drug Take Back Program
Target entity description: The Prescription Drug Take Back Program is a U.S. Drug Enforcement Administration initiative that provides safe, convenient, and responsible ways for the public to dispose of unused or expired prescription medications.
  • A. Drug-Free Communities Support Program
    The Drug-Free Communities Support Program is a federal grant initiative that funds and supports local community coalitions in their efforts to prevent youth substance use across the United States.
  • B. Anti-Drug Abuse Act of 1988
    The Anti-Drug Abuse Act of 1988 is a U.S. federal law that expanded the war on drugs by increasing penalties, funding enforcement and treatment programs, and establishing a coordinated national drug control strategy.
  • C. National Institute on Drug Abuse
    The National Institute on Drug Abuse is a U.S. federal research agency that leads scientific study on drug use, addiction, and their health impacts to inform prevention, treatment, and policy.
  • D. High Intensity Drug Trafficking Areas program
    The High Intensity Drug Trafficking Areas program is a U.S. federal initiative that provides resources and coordination to law enforcement agencies in regions most affected by drug trafficking to reduce drug production, distribution, and related crime.
  • E. Substance Abuse and Mental Health Services Administration
    The Substance Abuse and Mental Health Services Administration (SAMHSA) is a U.S. federal agency within the Department of Health and Human Services that leads national efforts to improve behavioral health and reduce the impact of substance abuse and mental illness.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256ccce548190a7b20d999a6c8df1 completed Feb. 28, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e81aa48190827b634822e25058 completed Feb. 28, 2026, 4:58 a.m.
NEDg Description generation batch_69a2772d526881909052faae2b3b9829 completed Feb. 28, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69a277a7c6a08190820993e8de80d21a completed Feb. 28, 2026, 5:05 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.