Triple
T5911853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UniFR |
E131479
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UniFR |
E131479
|
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: UniFR | Statement: [UniFR, abbreviation, UniFR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UniFR Context triple: [UniFR, abbreviation, UniFR]
-
A.
UniFR
chosen
UniFR is the commonly used abbreviation for the University of Fribourg, a bilingual (French and German) public university in Fribourg, Switzerland.
-
B.
UniFE
UniFE is the commonly used abbreviation for the University of Ferrara, a public research university located in Ferrara, Italy.
-
C.
Federal University of Paraná
The Federal University of Paraná is one of Brazil’s oldest and most prestigious public universities, renowned for its research and academic excellence.
-
D.
Universidade Federal do Rio Grande do Sul
The Universidade Federal do Rio Grande do Sul is a major Brazilian public university based in Porto Alegre, recognized for its strong research output and comprehensive range of undergraduate and graduate programs.
-
E.
UniBE
UniBE is the commonly used abbreviation for the University of Bern, a major public research university located in Bern, Switzerland.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037b6f48c8190b60a32e5f64fe254 |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c015b90081909777ac5ed80e927c |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:59 p.m.