Triple
T10746463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ylenia Carrisi |
E253461
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Cellino San Marco |
E778619
|
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: Cellino San Marco | Statement: [Ylenia Carrisi, residence, Cellino San Marco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cellino San Marco Context triple: [Ylenia Carrisi, residence, Cellino San Marco]
-
A.
Cellino San Marco
chosen
Cellino San Marco is a small town and comune in Italy’s Apulia region, known especially for its wine production and association with singer Albano Carrisi.
-
B.
Ospedaletti
Ospedaletti is a small coastal town on the Italian Riviera in Liguria, known for its mild climate and seaside tourism.
-
C.
Caerano di San Marco
Caerano di San Marco is a municipality in the Veneto region of northern Italy, known for its role in the local footwear and sportswear industry.
-
D.
San Maurizio d’Opaglio
San Maurizio d’Opaglio is a small Italian town in the Piedmont region, known for its lakeside setting and faucet manufacturing industry.
-
E.
Fasano
Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b85d9c8190a66f536e2f22ed04 |
completed | April 9, 2026, 2:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de558f26e88190a9cb8f4d0539e5a5 |
completed | April 14, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:15 p.m.