Triple
T6958953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sector 2 |
E161317
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
University of Bucharest – Faculty of Law campus (Kogălniceanu not here; Tei campus: Faculty of Administration and Business / other faculties)?
The University of Bucharest – Faculty of Law campus (Tei area) is a university complex in Bucharest that hosts the Faculty of Law alongside the Faculty of Administration and Business and other academic units of the University of Bucharest.
|
E631435
|
NE FINISHED |
How this triple was built (4 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: University of Bucharest – Faculty of Law campus (Kogălniceanu not here; Tei campus: Faculty of Administration and Business / other faculties)? | Statement: [Sector 2, contains, University of Bucharest – Faculty of Law campus (Kogălniceanu not here; Tei campus: Faculty of Administration and Business / other faculties)?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Bucharest – Faculty of Law campus (Kogălniceanu not here; Tei campus: Faculty of Administration and Business / other faculties)? Context triple: [Sector 2, contains, University of Bucharest – Faculty of Law campus (Kogălniceanu not here; Tei campus: Faculty of Administration and Business / other faculties)?]
-
A.
Faculty of Law and Administration
The Faculty of Law and Administration is a major academic unit of the Jagiellonian University in Kraków, Poland, specializing in legal and administrative education and research.
-
B.
Faculty of Law and Administration
The Faculty of Law and Administration is a major academic unit of the University of Warsaw specializing in legal and public administration education and research.
-
C.
Faculty of Law and Administration
The Faculty of Law and Administration is a major academic unit of Adam Mickiewicz University in Poznań, specializing in legal and administrative education and research.
-
D.
Faculty of Law and Administration
The Faculty of Law and Administration is an academic unit of the University of Opole specializing in legal and public administration education and research.
-
E.
Faculty of Law and Administration
The Faculty of Law and Administration is a key academic unit of the University of Gdańsk specializing in legal and administrative education and research.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: University of Bucharest – Faculty of Law campus (Kogălniceanu not here; Tei campus: Faculty of Administration and Business / other faculties)? Triple: [Sector 2, contains, University of Bucharest – Faculty of Law campus (Kogălniceanu not here; Tei campus: Faculty of Administration and Business / other faculties)?]
Generated description
The University of Bucharest – Faculty of Law campus (Tei area) is a university complex in Bucharest that hosts the Faculty of Law alongside the Faculty of Administration and Business and other academic units of the University of Bucharest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University of Bucharest – Faculty of Law campus (Kogălniceanu not here; Tei campus: Faculty of Administration and Business / other faculties)? Target entity description: The University of Bucharest – Faculty of Law campus (Tei area) is a university complex in Bucharest that hosts the Faculty of Law alongside the Faculty of Administration and Business and other academic units of the University of Bucharest.
-
A.
Faculty of Law and Administration
The Faculty of Law and Administration is a major academic unit of the Jagiellonian University in Kraków, Poland, specializing in legal and administrative education and research.
-
B.
Faculty of Law and Administration
The Faculty of Law and Administration is a major academic unit of the University of Warsaw specializing in legal and public administration education and research.
-
C.
Faculty of Law and Administration
The Faculty of Law and Administration is a major academic unit of Adam Mickiewicz University in Poznań, specializing in legal and administrative education and research.
-
D.
Faculty of Law and Administration
The Faculty of Law and Administration is an academic unit of the University of Opole specializing in legal and public administration education and research.
-
E.
Faculty of Law and Administration
The Faculty of Law and Administration is a key academic unit of the University of Gdańsk specializing in legal and administrative education and research.
- F. None of above. chosen
Provenance (5 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daedbb4c8190b46846fb1265b937 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75893a4808190b94a70d8823a01d3 |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c759d65a008190a6121949651dcd5c |
completed | March 28, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75a7a0af88190abf9d1dc4efd8b29 |
completed | March 28, 2026, 4:35 a.m. |
Created at: March 27, 2026, 2:29 p.m.