Triple
T19511317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiz University |
E488159
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | Faculty of Dentistry |
—
|
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 Dentistry | Statement: [Taiz University, hasFaculty, Faculty of Dentistry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Dentistry Context triple: [Taiz University, hasFaculty, Faculty of Dentistry]
-
A.
Faculty of Dentistry
The Faculty of Dentistry is the dental school of Chulalongkorn University in Thailand, providing education, research, and clinical services in oral health and dental sciences.
-
B.
Faculty of Dentistry
The Faculty of Dentistry at Universitas Padjadjaran is an academic unit that provides education, research, and clinical training in dental and oral health sciences.
-
C.
Faculty of Dentistry
The Faculty of Dentistry at Near East University is an academic unit that provides dental education, clinical training, and research in oral health sciences.
-
D.
Faculty of Dentistry
The Faculty of Dentistry at Kagoshima University is an academic division specializing in dental education, research, and clinical training for future dental professionals.
-
E.
Faculty of Dentistry
The Faculty of Dentistry at Tishreen University is an academic institution that educates and trains future dental professionals while conducting research and providing oral health services.
- 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 Dentistry Target entity description: The Faculty of Dentistry at Taiz University is an academic unit that provides dental education, clinical training, and research in oral health sciences.
-
A.
Faculty of Dentistry
The Faculty of Dentistry at Tishreen University is an academic institution that educates and trains future dental professionals while conducting research and providing oral health services.
-
B.
Faculty of Dentistry
The Faculty of Dentistry at Tabriz University of Medical Sciences is a specialized academic unit that provides dental education, clinical training, and research in oral health sciences.
-
C.
Faculty of Dentistry
The Faculty of Dentistry is the division of Tajik State Medical University responsible for educating and training future dental professionals and conducting research in oral health.
-
D.
Faculty of Dentistry
The Faculty of Dentistry at the University of Kufa is an academic unit that provides dental education, clinical training, and research in oral health sciences.
-
E.
Faculty of Dentistry
The Faculty of Dentistry at Assiut University is an academic institution that provides dental education, clinical training, and research in oral health sciences within the university’s medical and health sciences framework.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63516572c8190a8719c51fd3f7147 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.