Triple
T12051046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Catania |
E286914
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Trecastagni |
E911586
|
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: Trecastagni | Statement: [Province of Catania, contains, Trecastagni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trecastagni Context triple: [Province of Catania, contains, Trecastagni]
-
A.
Trecastagni
chosen
Trecastagni is a town and comune on the slopes of Mount Etna in Sicily, Italy, known for its historic churches and traditional festivals.
-
B.
Frascineto
Frascineto is a small Arbëreshë (Albanian-heritage) town in Calabria, southern Italy, known for preserving Albanian language and Byzantine religious traditions.
-
C.
Roccastrada
Roccastrada is a historic hill town and comune in southern Tuscany, Italy, known for its medieval architecture and scenic countryside.
-
D.
Agnone
Agnone is a historic hill town in southern Italy renowned for its ancient bell foundry and well-preserved medieval center.
-
E.
Brisighella
Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904227958819084dbd5eb2566c735 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f64f40388190bfb3d2a81d5fbf5e |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.