Triple
T20575093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European University Institute |
E505195
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object | Department 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: Department of Law | Statement: [European University Institute, hasUnit, Department of Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Law Context triple: [European University Institute, hasUnit, Department of Law]
-
A.
Department of Law
The Department of Law at Tor Vergata University of Rome is an academic unit dedicated to legal education and research within the university’s broader social sciences and humanities framework.
-
B.
Department of Law
The Department of Law at Kyoto University is a core academic unit specializing in legal education and research within one of Japan’s leading national universities.
-
C.
Department of Law
The Department of Law at Himachal Pradesh University is an academic unit offering legal education and research programs in various branches of law.
-
D.
Department of Law
The Department of Law at the University of Catania is an academic unit dedicated to legal education and research, offering degree programs and scholarly activities in various fields of law.
-
E.
Department of Law
The Department of Law at the University of Insubria is an academic unit dedicated to legal education and research within the university’s law and social sciences disciplines.
- 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: Department of Law Target entity description: The Department of Law is the legal studies unit of the European University Institute, specializing in advanced research and doctoral training in European and international law.
-
A.
Department of Law
The Department of Law is an academic unit specializing in legal education and research within the School of Business, Economics and Law.
-
B.
Department of Law
The Department of Law at Tor Vergata University of Rome is an academic unit dedicated to legal education and research within the university’s broader social sciences and humanities framework.
-
C.
Department of Law
The Department of Law at the University of Insubria is an academic unit dedicated to legal education and research within the university’s law and social sciences disciplines.
-
D.
Department of Law
The Department of Law at the University of Catania is an academic unit dedicated to legal education and research, offering degree programs and scholarly activities in various fields of law.
-
E.
Department of Law
The Department of Law at the University of Macerata is an academic unit dedicated to legal education and research within one of Italy’s historic universities.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a909785c8190a02b1195eadb384c |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.