Triple
T20237941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal University of Paraná |
E498201
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | Faculty of Law |
—
|
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 Law | Statement: [Federal University of Paraná, hasFaculty, Faculty of Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Law Context triple: [Federal University of Paraná, hasFaculty, Faculty of Law]
-
A.
Faculty of Law
The Faculty of Law at Setsunan University is an academic division specializing in legal education and research within the university’s broader institutional framework.
-
B.
Faculty of Law
The Faculty of Law at the University of Freiburg is a prominent German law school known for its long academic tradition and comprehensive legal education and research programs.
-
C.
Faculty of Law
The Faculty of Law at Keio University is a leading Japanese law school known for its rigorous legal education and influential contributions to the fields of law and political science.
-
D.
Faculty of Law
The Faculty of Law at the University of Djibouti is an academic division dedicated to legal education and research, training students in national and international law.
-
E.
Faculty of Law
The Faculty of Law at RDVV is an academic division specializing in legal education, research, and professional training in the field of law.
- 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 Law Target entity description: The Faculty of Law at the Federal University of Paraná is a prominent Brazilian law school known for its traditional legal education and significant influence on the country’s legal and political spheres.
-
A.
Faculty of Law
The Faculty of Law at the University of Brasília is a leading Brazilian law school known for its strong academic tradition, influential legal scholarship, and role in training jurists and public officials.
-
B.
Faculty of Law
The Faculty of Law is the law school of the Federal University of Rio Grande do Sul in Brazil, offering legal education, research, and professional training.
-
C.
Faculty of Law
The Faculty of Law at the University of Buenos Aires is a leading Argentine institution for legal education and research, renowned for its rigorous academic programs and influential role in the country’s legal and political spheres.
-
D.
Faculty of Law
The Faculty of Law is the law school of the National University of Asunción, providing legal education and training for future lawyers and legal professionals in Paraguay.
-
E.
Faculty of Law
The Faculty of Law at the Pontifical Catholic University of Peru is a leading Peruvian law school known for its rigorous legal education, influential scholarship, and significant role in the country’s legal and judicial spheres.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716b4c148190bf663b8a747fbfa5 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.