Triple

T6504432
Position Surface form Disambiguated ID Type / Status
Subject School of Global Policy and Strategy E148970 entity
Predicate hasResearchCenter P40 FINISHED
Object Policy Design and Evaluation Lab
The Policy Design and Evaluation Lab is a research center that develops and tests evidence-based public policies through rigorous empirical analysis and experimental methods.
E600537 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: Policy Design and Evaluation Lab | Statement: [School of Global Policy and Strategy, hasResearchCenter, Policy Design and Evaluation Lab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Policy Design and Evaluation Lab
Context triple: [School of Global Policy and Strategy, hasResearchCenter, Policy Design and Evaluation Lab]
  • A. Center for Policy, Planning and Evaluation
    The Center for Policy, Planning and Evaluation is a division within the District of Columbia’s health department that leads public health policy development, strategic planning, and data-driven evaluation to guide health programs and initiatives.
  • B. Office of Policy Development and Research
    The Office of Policy Development and Research is a research and policy analysis division within the U.S. federal government that studies housing and urban development issues to inform national housing policy and programs.
  • C. Division of Policy, Evaluation and Training
    The Division of Policy, Evaluation and Training is a specialized unit within the UN Department of Safety and Security responsible for developing security policies, assessing their effectiveness, and providing training to enhance safety and security practices across the United Nations system.
  • D. Office of Evaluation Sciences
    The Office of Evaluation Sciences is a U.S. federal government team that applies behavioral and social science research methods to improve public programs and policies.
  • E. Institute of Health Services and Policy Research
    The Institute of Health Services and Policy Research is a Canadian national research body that supports and advances studies on health systems, health services, and health policy to improve the organization, delivery, and effectiveness of healthcare.
  • 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: Policy Design and Evaluation Lab
Triple: [School of Global Policy and Strategy, hasResearchCenter, Policy Design and Evaluation Lab]
Generated description
The Policy Design and Evaluation Lab is a research center that develops and tests evidence-based public policies through rigorous empirical analysis and experimental methods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Policy Design and Evaluation Lab
Target entity description: The Policy Design and Evaluation Lab is a research center that develops and tests evidence-based public policies through rigorous empirical analysis and experimental methods.
  • A. Center for Policy, Planning and Evaluation
    The Center for Policy, Planning and Evaluation is a division within the District of Columbia’s health department that leads public health policy development, strategic planning, and data-driven evaluation to guide health programs and initiatives.
  • B. Office of Policy Development and Research
    The Office of Policy Development and Research is a research and policy analysis division within the U.S. federal government that studies housing and urban development issues to inform national housing policy and programs.
  • C. Division of Policy, Evaluation and Training
    The Division of Policy, Evaluation and Training is a specialized unit within the UN Department of Safety and Security responsible for developing security policies, assessing their effectiveness, and providing training to enhance safety and security practices across the United Nations system.
  • D. Office of Evaluation Sciences
    The Office of Evaluation Sciences is a U.S. federal government team that applies behavioral and social science research methods to improve public programs and policies.
  • E. Institute of Health Services and Policy Research
    The Institute of Health Services and Policy Research is a Canadian national research body that supports and advances studies on health systems, health services, and health policy to improve the organization, delivery, and effectiveness of healthcare.
  • 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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69965c8448190b9eb0c50711dd44f completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb3c524481909d9c822e928dc821 completed March 27, 2026, 6:23 p.m.
NEDg Description generation batch_69c6cd03c56c8190a0e7c69597ab8c83 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdfc23988190a4062abbcc312cb4 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:42 p.m.