Triple
T419299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Predappio |
E8064
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
|
E77290
|
NE FINISHED |
How this triple was built (4 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: San Savino | Statement: [Predappio, hasSubdivision, San Savino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Savino Context triple: [Predappio, hasSubdivision, San Savino]
-
A.
Rimini
Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
-
B.
Grignano
Grignano is a coastal locality near Trieste in northeastern Italy, known for its scenic bay and proximity to Miramare Castle.
-
C.
Livorno
Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
-
D.
Pitigliano
Pitigliano is a picturesque hilltop town in southern Tuscany, Italy, renowned for its well-preserved Jewish heritage and historic ghetto, earning it the nickname “Little Jerusalem.”
-
E.
Pescara
Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: San Savino Triple: [Predappio, hasSubdivision, San Savino]
Generated description
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Savino Target entity description: San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
-
A.
Rimini
Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
-
B.
Grignano
Grignano is a coastal locality near Trieste in northeastern Italy, known for its scenic bay and proximity to Miramare Castle.
-
C.
Livorno
Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
-
D.
Pitigliano
Pitigliano is a picturesque hilltop town in southern Tuscany, Italy, renowned for its well-preserved Jewish heritage and historic ghetto, earning it the nickname “Little Jerusalem.”
-
E.
Pescara
Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
- F. None of above. chosen
Provenance (5 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee917de48190965fba455efd2320 |
completed | Feb. 28, 2026, 1:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a55a7165988190bc4312ca40770e27 |
completed | March 2, 2026, 9:37 a.m. |
| NEDg | Description generation | batch_69a55ad98dc881909f0e78acee4c6ac2 |
completed | March 2, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a55baf54bc81909366f20361a8c387 |
completed | March 2, 2026, 9:43 a.m. |
Created at: Feb. 28, 2026, 1:11 p.m.