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.