Triple
T22710435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Bologna |
E561576
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Budrio |
—
|
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: Budrio | Statement: [Province of Bologna, contains, Budrio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Budrio Context triple: [Province of Bologna, contains, Budrio]
-
A.
Budrio
chosen
Budrio is a historic town in Italy’s Emilia-Romagna region, known for its agricultural traditions and proximity to the city of Bologna.
-
B.
Loretano
Loretano is a regional dialect of the Mojeño language spoken by Indigenous communities in the Bolivian lowlands.
-
C.
Spilamberto
Spilamberto is a historic town in northern Italy’s Emilia-Romagna region, known for its production of traditional balsamic vinegar and its medieval architecture.
-
D.
Rovato
Rovato is a town and municipality in the Lombardy region of northern Italy, situated in the Franciacorta wine-producing area.
-
E.
Gandoli
Gandoli is a coastal beach area in the municipality of Leporano in southern Italy, known for its sandy shoreline and clear Ionian Sea waters.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17907d7288190bb53f76974f95cef |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:17 p.m.