Triple
T205505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Oslo |
E4601
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | UNICA |
E4997
|
NE FINISHED |
How this triple was built (2 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: UNICA | Statement: [University of Oslo, memberOf, UNICA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNICA Context triple: [University of Oslo, memberOf, UNICA]
-
A.
UNICA
chosen
UNICA is a network of universities from the capitals of Europe that promotes academic collaboration, mobility, and shared higher education policies among its member institutions.
-
B.
University of Turin
The University of Turin is one of Italy’s oldest and most prestigious public universities, renowned for its contributions to the humanities, sciences, and law.
-
C.
Roma Tre University
Roma Tre University is a public research university in Rome, Italy, known for its modern campus and multidisciplinary academic programs.
-
D.
Tor Vergata University of Rome
Tor Vergata University of Rome is a major public research university in Rome, Italy, known for its strong programs in science, engineering, economics, and medicine.
-
E.
Sapienza University of Rome
Sapienza University of Rome is one of the oldest and largest universities in Europe, renowned for its extensive research output and broad range of academic programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c04e42481909e957cb34dc02731 |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a32f29799c8190a445a231006bf436 |
completed | Feb. 28, 2026, 6:08 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.