Triple
T21786372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Zenica |
E537847
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | Faculty of Health |
—
|
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 Health | Statement: [University of Zenica, hasFaculty, Faculty of Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Health Context triple: [University of Zenica, hasFaculty, Faculty of Health]
-
A.
Faculty of Health
The Faculty of Health at Dalhousie University is an academic division focused on education and research in health-related disciplines, preparing professionals for careers in healthcare and health sciences.
-
B.
Faculty of Health
The Faculty of Health at Aarhus University is a major academic division focused on education and research in medicine, dentistry, public health, and related health sciences.
-
C.
Faculty of Health
The Faculty of Health at Université Paris Cité is an academic division specializing in education and research across medical, pharmaceutical, and other health-related disciplines.
-
D.
Faculty of Health
The Faculty of Health at the University of Waterloo is an academic division focused on health sciences, public health, and related disciplines aimed at improving individual and community well-being.
-
E.
Faculty of Health
The Faculty of Health at the University of Technology Sydney is an academic division focused on education and research in health and clinical disciplines, preparing professionals for roles across the healthcare sector.
- 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 Health Target entity description: The Faculty of Health is an academic unit of the University of Zenica specializing in education and research in health sciences and related professions.
-
A.
Faculty of Health
The Faculty of Health is an academic division of Hamadan University of Medical Sciences focused on education and research in public health and related health sciences.
-
B.
Faculty of Health
The Faculty of Health is an academic division of Mashhad University of Medical Sciences focused on education and research in public health and related health sciences.
-
C.
Faculty of Health
The Faculty of Health is an academic division of Tabriz University of Medical Sciences focused on education and research in public health and related health sciences.
-
D.
Faculty of Health
Faculty of Health is an academic unit of the Catholic University in Ružomberok focused on education and research in health sciences and healthcare professions.
-
E.
Faculty of Health
The Faculty of Health is a division of the University of Debrecen in Hungary that provides education and training in health sciences and related professions.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621b5d6881908b74bc999c94fa3d |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:52 p.m.