Triple
T19926185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kindai University Faculty of Medicine |
E478927
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Pharmacology |
—
|
NE NERFINISHED |
How this triple was built (3 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 Pharmacology | Statement: [Kindai University Faculty of Medicine, hasDepartment, Department of Pharmacology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Pharmacology Context triple: [Kindai University Faculty of Medicine, hasDepartment, Department of Pharmacology]
-
A.
Department of Pharmacology
The Department of Pharmacology is an academic unit within Cairo University's Faculty of Medicine that focuses on teaching and researching the actions, uses, and effects of drugs on biological systems.
-
B.
Department of Pharmacology
The Department of Pharmacology is an academic unit specializing in the study of drug actions, mechanisms, and therapeutic uses within the Faculty of Medicine at Tohoku University.
-
C.
Department of Pharmacology
The Department of Pharmacology at the UNC School of Medicine is an academic and research unit focused on understanding drug actions and developing new therapeutic approaches to treat human disease.
-
D.
Department of Pharmacology
The Department of Pharmacology is an academic unit within Government Medical College Mahbubnagar that focuses on teaching and researching the actions, uses, and effects of drugs on biological systems.
-
E.
Department of Pharmacology
The Department of Pharmacology is an academic unit specializing in the study of drug actions, therapeutic uses, and toxicology within the Faculty of Pharmacy at Gomal University.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Pharmacology Target entity description: The Department of Pharmacology at Kindai University’s Faculty of Medicine is an academic and research unit focused on studying drug actions, mechanisms, and therapeutic applications in medicine.
-
A.
Department of Pharmacology
The Department of Pharmacology is an academic unit specializing in the study of drug actions, mechanisms, and therapeutic uses within the Faculty of Medicine at Tohoku University.
-
B.
Department of Pharmacology
The Department of Pharmacology is an academic and research unit within Medical College Jabalpur that focuses on the study of drugs, their mechanisms of action, therapeutic uses, and adverse effects in medicine.
-
C.
Department of Pharmacology
The Department of Pharmacology is an academic unit within Nahda University's Faculty of Medicine that focuses on teaching and researching the effects, mechanisms, and clinical uses of drugs.
-
D.
Department of Pharmacology
The Department of Pharmacology is an academic unit specializing in the study of drug actions and therapeutics within the Faculty of Medicine at the University of Helsinki.
-
E.
Department of Pharmacology
The Department of Pharmacology is an academic unit specializing in the study of drug actions, therapeutic uses, and toxicology within the Faculty of Pharmacy at Alexandria University.
- F. None of above. chosen
Provenance (2 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659ca52c881908dc8053bf61be4c4 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.