Triple
T19625082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université Paris 7 Denis Diderot |
E471112
|
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: [Université Paris 7 Denis Diderot, hasFaculty, Faculty of Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine Context triple: [Université Paris 7 Denis Diderot, 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 Claude Bernard University Lyon 1 is a major French medical school responsible for training future physicians and conducting biomedical research in the Lyon region.
-
D.
Faculty of Medicine
The Faculty of Medicine at USC is the university’s medical school, responsible for training future physicians and conducting biomedical research and clinical education.
-
E.
Faculty of Medicine
The Faculty of Medicine at the University of Cambridge is the division responsible for medical education and research, training future doctors and advancing biomedical science within the 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: Faculty of Medicine Target entity description: The Faculty of Medicine at Université Paris 7 Denis Diderot is a medical school in Paris that trains future physicians and conducts research in biomedical and clinical sciences.
-
A.
Faculty of Medicine
The Faculty of Medicine is the medical school of Université de Versailles Saint-Quentin-en-Yvelines, responsible for training future physicians and conducting biomedical research.
-
B.
Faculty of Medicine
The Faculty of Medicine at Université Paris V René Descartes is a major French medical school known for training physicians and conducting biomedical research in Paris.
-
C.
Faculty of Medicine
The Faculty of Medicine at Sorbonne University is a major French medical school and research institution known for training physicians and advancing biomedical research in Paris.
-
D.
Faculty of Medicine
The Faculty of Medicine at the University of Strasbourg is a major French medical school that provides education, training, and research in medicine and health sciences.
-
E.
Faculty of Medicine
The Faculty of Medicine is the medical school of Jean Monnet University, responsible for training future physicians and conducting research in the health sciences.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e92ff48190ae6e6ba2c603d5e7 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.