Triple
T23431420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Seville |
E563342
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | Faculty of Medicine |
—
|
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 Medicine | Statement: [University of Seville, hasFaculty, Faculty of Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine Context triple: [University of Seville, hasFaculty, Faculty of Medicine]
-
A.
Faculty of Medicine
The Faculty of Medicine at Tohoku University is a leading Japanese medical school and research institution known for its contributions to clinical medicine and biomedical science.
-
B.
Faculty of Medicine
The Faculty of Medicine at Ege University is a major Turkish medical school and teaching hospital known for training physicians and conducting clinical and biomedical research.
-
C.
Faculty of Medicine
The Faculty of Medicine at Hacettepe University is a leading Turkish medical school known for its rigorous medical education, research, and clinical training.
-
D.
Faculty of Medicine
The Faculty of Medicine at the University of Miyazaki is a medical school in Japan that provides education and training for future physicians and medical researchers.
-
E.
Faculty of Medicine
The Faculty of Medicine at Nnamdi Azikiwe University is a medical school in Nigeria that trains future doctors and health professionals through undergraduate and postgraduate medical education and research.
- 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 Medicine Target entity description: The Faculty of Medicine is the medical school of the University of Seville, responsible for training future physicians and conducting biomedical research.
-
A.
Faculty of Medicine
chosen
The Faculty of Medicine is the medical school of the University of Seville, responsible for training future physicians and conducting research in health and biomedical sciences.
-
B.
Faculty of Medicine
The Faculty of Medicine is the medical school of the Autonomous University of Madrid, responsible for training future physicians and conducting biomedical research.
-
C.
Faculty of Medicine
The Faculty of Medicine at the University of Málaga is an academic institution dedicated to medical education, clinical training, and biomedical research in Málaga, Spain.
-
D.
Faculty of Medicine
The Faculty of Medicine at the University of Murcia is an academic division dedicated to medical education, clinical training, and biomedical research within the university.
-
E.
Faculty of Medicine
The Faculty of Medicine is the medical school of the Complutense University of Madrid, one of Spain’s oldest and most prestigious institutions for training physicians and conducting biomedical research.
- F. None of above.
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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5d8130881909e4f3455afef1804 |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:49 p.m.