Triple
T11390420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan City of Messina |
E269820
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Taormina |
E281097
|
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: Taormina | Statement: [Metropolitan City of Messina, hasPart, Taormina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taormina Context triple: [Metropolitan City of Messina, hasPart, Taormina]
-
A.
Taormina
chosen
Taormina is a historic hilltop town on Sicily’s eastern coast, famed for its ancient Greek theatre, dramatic views of Mount Etna, and picturesque Mediterranean setting.
-
B.
Acireale
Acireale is a historic coastal town in eastern Sicily, Italy, known for its Baroque architecture, thermal baths, and vibrant Carnival celebrations.
-
C.
Cefalù
Cefalù is a historic seaside town on the northern coast of Sicily, Italy, renowned for its medieval streets, sandy beaches, and UNESCO-listed Norman cathedral.
-
D.
Modica
Modica is a historic city in southeastern Sicily renowned for its rich Baroque architecture and cultural heritage.
-
E.
Comiso
Comiso is a town in the province of Ragusa in southeastern Sicily, Italy, known for its historic center and former NATO air base.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6684574908190bd7e3d1a7dd6d876 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:34 p.m.