Triple
T4032178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Ibadan |
E83739
|
entity |
| Predicate | hasResearchInstitute |
P186
|
FINISHED |
| Object |
Institute for Advanced Medical Research and Training, University of Ibadan
The Institute for Advanced Medical Research and Training at the University of Ibadan is a specialized center dedicated to high-level biomedical research, capacity building, and postgraduate training in medical and health sciences.
|
E412471
|
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: Institute for Advanced Medical Research and Training, University of Ibadan | Statement: [University of Ibadan, hasResearchInstitute, Institute for Advanced Medical Research and Training, University of Ibadan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Institute for Advanced Medical Research and Training, University of Ibadan Context triple: [University of Ibadan, hasResearchInstitute, Institute for Advanced Medical Research and Training, University of Ibadan]
-
A.
University College Hospital, Ibadan
University College Hospital, Ibadan is a major Nigerian teaching and referral hospital affiliated with the University of Ibadan and renowned for its medical education, research, and specialized healthcare services.
-
B.
Faculty of Pharmacy, University of Ibadan
The Faculty of Pharmacy, University of Ibadan is a leading Nigerian pharmacy school known for training pharmacists, conducting pharmaceutical research, and contributing to healthcare development in West Africa.
-
C.
University of Ibadan
The University of Ibadan is Nigeria’s oldest and one of its most prestigious universities, renowned for its research output and role in higher education across West Africa.
-
D.
Faculty of Public Health, University of Ibadan
The Faculty of Public Health, University of Ibadan is an academic unit dedicated to training public health professionals and conducting research on population health issues in Nigeria and beyond.
-
E.
Faculty of Arts, University of Ibadan
The Faculty of Arts, University of Ibadan is a leading humanities faculty in Nigeria, offering undergraduate and postgraduate programs in disciplines such as languages, literature, history, philosophy, and communication.
- 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: Institute for Advanced Medical Research and Training, University of Ibadan Triple: [University of Ibadan, hasResearchInstitute, Institute for Advanced Medical Research and Training, University of Ibadan]
Generated description
The Institute for Advanced Medical Research and Training at the University of Ibadan is a specialized center dedicated to high-level biomedical research, capacity building, and postgraduate training in medical and health sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Institute for Advanced Medical Research and Training, University of Ibadan Target entity description: The Institute for Advanced Medical Research and Training at the University of Ibadan is a specialized center dedicated to high-level biomedical research, capacity building, and postgraduate training in medical and health sciences.
-
A.
University College Hospital, Ibadan
University College Hospital, Ibadan is a major Nigerian teaching and referral hospital affiliated with the University of Ibadan and renowned for its medical education, research, and specialized healthcare services.
-
B.
Faculty of Pharmacy, University of Ibadan
The Faculty of Pharmacy, University of Ibadan is a leading Nigerian pharmacy school known for training pharmacists, conducting pharmaceutical research, and contributing to healthcare development in West Africa.
-
C.
University of Ibadan
The University of Ibadan is Nigeria’s oldest and one of its most prestigious universities, renowned for its research output and role in higher education across West Africa.
-
D.
Faculty of Public Health, University of Ibadan
The Faculty of Public Health, University of Ibadan is an academic unit dedicated to training public health professionals and conducting research on population health issues in Nigeria and beyond.
-
E.
Faculty of Arts, University of Ibadan
The Faculty of Arts, University of Ibadan is a leading humanities faculty in Nigeria, offering undergraduate and postgraduate programs in disciplines such as languages, literature, history, philosophy, and communication.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0f776881909db6b7df1db7664c |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b4a54c48190ae8abe0188b9738b |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56c4c41c88190b00ab8fc43686afb |
completed | March 14, 2026, 2:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56cc2ae948190a5e13992626dd547 |
completed | March 14, 2026, 2:12 p.m. |
Created at: March 9, 2026, 3:36 p.m.