Triple
T17002012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, University of Ibadan |
E412469
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Chemistry, University of Ibadan
The Department of Chemistry, University of Ibadan is an academic unit in Nigeria’s premier university that offers teaching and research programs in various branches of chemistry at undergraduate and postgraduate levels.
|
E1245331
|
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: Department of Chemistry, University of Ibadan | Statement: [Faculty of Science, University of Ibadan, hasDepartment, Department of Chemistry, University of Ibadan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Chemistry, University of Ibadan Context triple: [Faculty of Science, University of Ibadan, hasDepartment, Department of Chemistry, University of Ibadan]
-
A.
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.
-
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.
Department of Chemistry, University of Port Harcourt
The Department of Chemistry, University of Port Harcourt is an academic unit that offers teaching and research programs in chemistry within the university’s Faculty of Science.
-
D.
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.
-
E.
Faculty of Multidisciplinary Studies, University of Ibadan
The Faculty of Multidisciplinary Studies, University of Ibadan is an academic division that integrates diverse disciplines to offer flexible, cross-cutting programs and research at Nigeria’s premier university.
- 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: Department of Chemistry, University of Ibadan Triple: [Faculty of Science, University of Ibadan, hasDepartment, Department of Chemistry, University of Ibadan]
Generated description
The Department of Chemistry, University of Ibadan is an academic unit in Nigeria’s premier university that offers teaching and research programs in various branches of chemistry at undergraduate and postgraduate levels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Chemistry, University of Ibadan Target entity description: The Department of Chemistry, University of Ibadan is an academic unit in Nigeria’s premier university that offers teaching and research programs in various branches of chemistry at undergraduate and postgraduate levels.
-
A.
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.
-
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.
Department of Chemistry, University of Port Harcourt
The Department of Chemistry, University of Port Harcourt is an academic unit that offers teaching and research programs in chemistry within the university’s Faculty of Science.
-
D.
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.
-
E.
Faculty of Multidisciplinary Studies, University of Ibadan
The Faculty of Multidisciplinary Studies, University of Ibadan is an academic division that integrates diverse disciplines to offer flexible, cross-cutting programs and research at Nigeria’s premier university.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37ec2b48190b4f997899d887ba8 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1e2f708190999f6fab16fdabe8 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d68c8481909111bfab22882bb2 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0118ba68408190b242154c40461f21 |
completed | May 10, 2026, 11:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.