Triple
T19276236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faetano |
E482061
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Coriano |
—
|
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: Coriano | Statement: [Faetano, hasBorderWith, Coriano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coriano Context triple: [Faetano, hasBorderWith, Coriano]
-
A.
Coriano
chosen
Coriano is a municipality in Italy’s Emilia-Romagna region, known for its rural landscapes, historic center, and proximity to the Adriatic coast.
-
B.
Seregno
Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
-
C.
Acquaviva Picena
Acquaviva Picena is a small historic hilltop town in Italy’s Marche region, known for its medieval fortress and views over the surrounding Piceno countryside.
-
D.
Ostiano
Ostiano is a small town in the Lombardy region of northern Italy, known as the birthplace of the Baroque painter Bartolomeo Manfredi.
-
E.
Cesenatico
Cesenatico is a historic Adriatic seaside town in Italy, renowned for its canal harbor designed by Leonardo da Vinci and its popular beach tourism.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbbdf3481909abb46c71f64106a |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.