Triple
T21950744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UniFE |
E542061
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Ferrara |
—
|
NE NERFINISHED |
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: Ferrara | Statement: [UniFE, city, Ferrara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrara Context triple: [UniFE, city, Ferrara]
-
A.
Ferrara
chosen
Ferrara is a historic city in Italy’s Emilia-Romagna region, renowned for its well-preserved Renaissance architecture and rich Jewish cultural heritage.
-
B.
Ferrara
Ferrara is an Italian surname commonly associated with people of Italian heritage, including American actor Jerry Ferrara.
-
C.
Bologna
Bologna is a historic city in northern Italy renowned for its medieval architecture, rich culinary tradition, and the University of Bologna, one of the oldest universities in the world.
-
D.
Modena
Modena is a historic city in northern Italy’s Emilia-Romagna region, renowned for its balsamic vinegar, automotive heritage with Ferrari and Maserati, and its Romanesque cathedral and UNESCO-listed city center.
-
E.
Faenza
Faenza is a historic city in Italy’s Emilia-Romagna region, renowned for its traditional ceramics and artistic majolica production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243bb9c88190a3774b9fa2af9871 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.