Triple
T22384551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of San Bartolomeo (Scicli) |
E553361
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Scicli |
—
|
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: Scicli | Statement: [Church of San Bartolomeo (Scicli), locatedIn, Scicli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scicli Context triple: [Church of San Bartolomeo (Scicli), locatedIn, 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.
Scisciano
Scisciano is a small Italian town in the Campania region, situated in the fertile plain near Naples.
-
D.
Mastroeni
Mastroeni is the surname of Pablo Mastroeni, a former professional soccer player and coach best known for his career with the U.S. national team and Major League Soccer.
-
E.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582e58dc8190a2ad6b10c9d1f951 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.