Triple
T17723117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National University of Asunción |
E442391
|
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: [National University of Asunción, hasFaculty, Faculty of Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine Context triple: [National University of Asunción, hasFaculty, Faculty of Medicine]
-
A.
Faculty of Medicine
The Faculty of Medicine at Utrecht University is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
-
B.
Faculty of Medicine
The Faculty of Medicine at the University of Latvia is a higher education and research institution specializing in medical training, clinical education, and biomedical research.
-
C.
Faculty of Medicine
The Faculty of Medicine is the core academic division of Hannover Medical School responsible for medical education, research, and clinical training.
-
D.
Faculty of Medicine
The Faculty of Medicine at the University of Aleppo is a major medical school in Syria that trains physicians and conducts research and clinical education in the health sciences.
-
E.
Faculty of Medicine
The Faculty of Medicine is the medical education and research division of Tokyo Medical and Dental University, responsible for training physicians and advancing medical science.
- 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 National University of Asunción, responsible for training physicians and conducting medical research and education in Paraguay.
-
A.
Faculty of Medicine
The Faculty of Medicine is the medical school of the National University of San Marcos in Peru, responsible for training physicians and conducting research in health sciences.
-
B.
Faculty of Medicine
The Faculty of Medicine at the National University of Córdoba is a major Argentine medical school known for training physicians and conducting research in health sciences.
-
C.
Faculty of Medicine
The Faculty of Medicine is the medical school of the National University of Trujillo in Peru, responsible for training physicians and conducting health-related research and clinical education.
-
D.
Faculty of Medicine
The Faculty of Medicine is the medical school of the Federal University of Rio Grande do Sul in Brazil, responsible for training physicians and conducting research in health sciences.
-
E.
Faculty of Medicine
The Faculty of Medicine is the medical school of the Universidad Mayor de San Simón, responsible for training physicians and conducting health-related research and clinical education.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47487b4988190b14237a4e6376e9a |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:07 a.m.