Triple
T15878465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal University of Lafia |
E385010
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Microbiology
The Department of Microbiology is an academic unit at the Federal University of Lafia dedicated to teaching and research on microorganisms and their applications in health, industry, and the environment.
|
E1181864
|
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 Microbiology | Statement: [Federal University of Lafia, hasDepartment, Department of Microbiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Microbiology Context triple: [Federal University of Lafia, hasDepartment, Department of Microbiology]
-
A.
Department of Microbiology
The Department of Microbiology at Quaid-i-Azam University is an academic and research unit focused on the study of microorganisms, their roles in health, disease, and the environment, and their applications in biotechnology.
-
B.
Department of Microbiology
The Department of Microbiology at Tohoku University's Faculty of Medicine is an academic unit focused on research and education in microorganisms, infectious diseases, and related biomedical sciences.
-
C.
Department of Microbiology
The Department of Microbiology at Osaka University’s Graduate School of Medicine is an academic and research unit focused on the study of microorganisms and their roles in human health and disease.
-
D.
Department of Microbiology
The Department of Microbiology is an academic unit at Kohat University of Science and Technology dedicated to teaching and research in microbial biology and its applications in health, industry, and the environment.
-
E.
Department of Microbiology
The Department of Microbiology is an academic unit within Nahda University's Faculty of Medicine in Beni Suef that focuses on teaching and researching microorganisms and their roles in human health and disease.
- 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 Microbiology Triple: [Federal University of Lafia, hasDepartment, Department of Microbiology]
Generated description
The Department of Microbiology is an academic unit at the Federal University of Lafia dedicated to teaching and research on microorganisms and their applications in health, industry, and the environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Microbiology Target entity description: The Department of Microbiology is an academic unit at the Federal University of Lafia dedicated to teaching and research on microorganisms and their applications in health, industry, and the environment.
-
A.
Department of Microbiology
The Department of Microbiology is an academic unit focused on the study and research of microorganisms and their roles in health, disease, and the environment.
-
B.
Department of Microbiology
The Department of Microbiology is an academic unit at Kohat University of Science and Technology dedicated to teaching and research in microbial biology and its applications in health, industry, and the environment.
-
C.
Department of Microbiology
The Department of Microbiology at Quaid-i-Azam University is an academic and research unit focused on the study of microorganisms, their roles in health, disease, and the environment, and their applications in biotechnology.
-
D.
Department of Microbiology
The Department of Microbiology is an academic and research unit at Savitribai Phule Pune University specializing in the study of microorganisms and their applications in health, industry, and the environment.
-
E.
Department of Microbiology
The Department of Microbiology is an academic unit within Nahda University's Faculty of Medicine in Beni Suef that focuses on teaching and researching microorganisms and their roles in human health and disease.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155ff96588190b8fca1c3bf4a39a2 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9529ac48190993d1af234faea3b |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffa9e9b17c8190b98d930fd5cb0723 |
completed | May 9, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaa973274819080889e1b9883b8dc |
completed | May 9, 2026, 9:43 p.m. |
Created at: April 10, 2026, 4:51 a.m.