Triple

T10270214
Position Surface form Disambiguated ID Type / Status
Subject Commission for Developing Countries E240813 entity
Predicate hasSubprogram P17453 FINISHED
Object Graduate Research Assistantships in Developing Countries (GRAID)
Graduate Research Assistantships in Developing Countries (GRAID) is a program that supports promising graduate students in developing countries by providing research assistantships and related resources to strengthen local scientific capacity.
E853151 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: Graduate Research Assistantships in Developing Countries (GRAID) | Statement: [Commission for Developing Countries, hasSubprogram, Graduate Research Assistantships in Developing Countries (GRAID)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graduate Research Assistantships in Developing Countries (GRAID)
Context triple: [Commission for Developing Countries, hasSubprogram, Graduate Research Assistantships in Developing Countries (GRAID)]
  • A. Research and Information System for Developing Countries
    Research and Information System for Developing Countries is an Indian policy research think tank that provides analysis and recommendations on international economic development, trade, and cooperation issues, particularly for developing nations.
  • B. Research and National Technical Assistance program
    The Research and National Technical Assistance program is a U.S. Economic Development Administration initiative that funds studies, tools, and expert support to help communities and policymakers advance effective economic development strategies nationwide.
  • C. Graduate Assistance in Areas of National Need
    Graduate Assistance in Areas of National Need is a U.S. federal fellowship program that provides financial support to graduate students pursuing advanced degrees in disciplines considered critical to the nation’s competitiveness and security.
  • D. Center for Development Economics
    The Center for Development Economics is a graduate program at Williams College focused on training economists and policymakers to address economic development challenges in low- and middle-income countries.
  • E. Centre for Collaboration with Funding Agencies
    The Centre for Collaboration with Funding Agencies is a unit within the Norwegian Institute of Public Health that coordinates and strengthens partnerships with national and international research and public health funders.
  • 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: Graduate Research Assistantships in Developing Countries (GRAID)
Triple: [Commission for Developing Countries, hasSubprogram, Graduate Research Assistantships in Developing Countries (GRAID)]
Generated description
Graduate Research Assistantships in Developing Countries (GRAID) is a program that supports promising graduate students in developing countries by providing research assistantships and related resources to strengthen local scientific capacity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Graduate Research Assistantships in Developing Countries (GRAID)
Target entity description: Graduate Research Assistantships in Developing Countries (GRAID) is a program that supports promising graduate students in developing countries by providing research assistantships and related resources to strengthen local scientific capacity.
  • A. Research and Information System for Developing Countries
    Research and Information System for Developing Countries is an Indian policy research think tank that provides analysis and recommendations on international economic development, trade, and cooperation issues, particularly for developing nations.
  • B. Research and National Technical Assistance program
    The Research and National Technical Assistance program is a U.S. Economic Development Administration initiative that funds studies, tools, and expert support to help communities and policymakers advance effective economic development strategies nationwide.
  • C. Graduate Assistance in Areas of National Need
    Graduate Assistance in Areas of National Need is a U.S. federal fellowship program that provides financial support to graduate students pursuing advanced degrees in disciplines considered critical to the nation’s competitiveness and security.
  • D. Center for Development Economics
    The Center for Development Economics is a graduate program at Williams College focused on training economists and policymakers to address economic development challenges in low- and middle-income countries.
  • E. Centre for Collaboration with Funding Agencies
    The Centre for Collaboration with Funding Agencies is a unit within the Norwegian Institute of Public Health that coordinates and strengthens partnerships with national and international research and public health funders.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d270fb088190ba43b6f24e881b94 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f80c25888190a3e8a2c513df7043 completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcaca55c81908a48ac2a0ce24b85 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd772bc08190bf270f5fc767fb29 completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:35 a.m.