Triple
T22903530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Medical Sciences, Banaras Hindu University |
E568386
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Faculty of Dental Sciences |
—
|
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: Faculty of Dental Sciences | Statement: [Institute of Medical Sciences, Banaras Hindu University, hasComponent, Faculty of Dental Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Dental Sciences Context triple: [Institute of Medical Sciences, Banaras Hindu University, hasComponent, Faculty of Dental Sciences]
-
A.
Faculty of Dental Sciences
The Faculty of Dental Sciences at the University of Lagos is an academic division dedicated to training dental professionals and advancing research and clinical practice in oral health.
-
B.
Faculty of Dental Sciences
The Faculty of Dental Sciences is the dental education and research faculty of the University of Peradeniya in Sri Lanka, offering professional training for future dental surgeons and oral health specialists.
-
C.
Faculty of Dental Science
The Faculty of Dental Science is the dental education and research division of Dharamsinh Desai University, offering professional training and academic programs in dentistry.
-
D.
Faculty of Dental Medicine
The Faculty of Dental Medicine is the division of the Medical University of Varna that specializes in educating and training future dentists and conducting research in oral health and dental sciences.
-
E.
Faculty of Dental Medicine
The Faculty of Dental Medicine at the University of Havana is a higher education institution dedicated to training dentists and advancing research and clinical practice in oral health.
- 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: Faculty of Dental Sciences Target entity description: The Faculty of Dental Sciences is the dental education and research wing of Banaras Hindu University’s Institute of Medical Sciences, offering professional training and clinical services in dentistry.
-
A.
Faculty of Dental Sciences
The Faculty of Dental Sciences at the University of Lagos is an academic division dedicated to training dental professionals and advancing research and clinical practice in oral health.
-
B.
Faculty of Dental Sciences
The Faculty of Dental Sciences is the dental education and research faculty of the University of Peradeniya in Sri Lanka, offering professional training for future dental surgeons and oral health specialists.
-
C.
Faculty of Dental Science
The Faculty of Dental Science is the dental education and research division of Dharamsinh Desai University, offering professional training and academic programs in dentistry.
-
D.
Faculty of Dental Medicine
The Faculty of Dental Medicine at the University of Havana is a higher education institution dedicated to training dentists and advancing research and clinical practice in oral health.
-
E.
Faculty of Dental Medicine
The Faculty of Dental Medicine at Airlangga University is a higher education institution specializing in dental and oral health education, research, and clinical training.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18017a0208190a7e6f1638fc17b01 |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.