Triple
T16826000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Public Health, University of Ibadan |
E409019
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
College of Medicine, University of Ibadan
The College of Medicine, University of Ibadan is a leading Nigerian medical school and health sciences institution renowned for training healthcare professionals and conducting biomedical and public health research.
|
E1234700
|
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: College of Medicine, University of Ibadan | Statement: [Faculty of Public Health, University of Ibadan, affiliatedWith, College of Medicine, University of Ibadan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College of Medicine, University of Ibadan Context triple: [Faculty of Public Health, University of Ibadan, affiliatedWith, College of Medicine, University of Ibadan]
-
A.
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.
-
B.
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.
-
C.
Faculty of Science, University of Ibadan
The Faculty of Science, University of Ibadan is an academic division of Nigeria’s premier university dedicated to teaching and research across the core natural and physical sciences.
-
D.
College of Medicine, University of Nigeria
The College of Medicine, University of Nigeria is a leading Nigerian medical school that trains healthcare professionals and conducts medical research as part of the University of Nigeria.
-
E.
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.
- 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: College of Medicine, University of Ibadan Triple: [Faculty of Public Health, University of Ibadan, affiliatedWith, College of Medicine, University of Ibadan]
Generated description
The College of Medicine, University of Ibadan is a leading Nigerian medical school and health sciences institution renowned for training healthcare professionals and conducting biomedical and public health research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: College of Medicine, University of Ibadan Target entity description: The College of Medicine, University of Ibadan is a leading Nigerian medical school and health sciences institution renowned for training healthcare professionals and conducting biomedical and public health research.
-
A.
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.
-
B.
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.
-
C.
Faculty of Science, University of Ibadan
The Faculty of Science, University of Ibadan is an academic division of Nigeria’s premier university dedicated to teaching and research across the core natural and physical sciences.
-
D.
College of Medicine, University of Nigeria
The College of Medicine, University of Nigeria is a leading Nigerian medical school that trains healthcare professionals and conducts medical research as part of the University of Nigeria.
-
E.
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.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3126db88190ac5595b0d50e4232 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29e48f881908489bd77a9caec97 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b3aafac08190b3e0181780f45392 |
completed | May 10, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b46ab0608190bc59abb99842e6d4 |
completed | May 10, 2026, 4:38 p.m. |
Created at: April 10, 2026, 5:23 a.m.