Triple
T15649906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Ragusa |
E376283
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Scicli |
E127133
|
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: Scicli | Statement: [Province of Ragusa, contains, Scicli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scicli Context triple: [Province of Ragusa, contains, Scicli]
-
A.
Scicli
chosen
Scicli is a historic town in southeastern Sicily renowned for its richly ornamented Sicilian Baroque architecture and picturesque setting.
-
B.
Miccoli
Miccoli is an Italian surname most notably associated with former professional footballer Fabrizio Miccoli.
-
C.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
D.
Scarlino
Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
-
E.
Reggiani
Reggiani are the inhabitants or natives of the Italian city of Reggio Emilia, known for their rich culinary traditions and contributions to art and culture in the Emilia-Romagna region.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67957ebc8190b187f557bd01d58d |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.