Triple
T5971192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cesena campus |
E132875
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Cesena |
E258600
|
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: Cesena | Statement: [Cesena campus, city, Cesena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cesena Context triple: [Cesena campus, city, Cesena]
-
A.
Cesena
chosen
Cesena is a historic city in the Emilia-Romagna region of northern Italy, known for its medieval center and the UNESCO-listed Malatestiana Library.
-
B.
Rovigo
Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
-
C.
Osimo
Osimo is a historic town in Italy’s Marche region, known for its medieval architecture and its role as the signing site of the Treaty of Osimo between Italy and Yugoslavia.
-
D.
Rimini
Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
-
E.
Gubbio
Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c049ff0eec8190834f77bafae943ce |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e4036f2081909fa40e07d19291f2 |
completed | March 27, 2026, 8:09 p.m. |
Created at: March 22, 2026, 4:03 p.m.