Triple
T12051001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Catania |
E286914
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Paternò |
E912369
|
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: Paternò | Statement: [Province of Catania, contains, Paternò]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paternò Context triple: [Province of Catania, contains, Paternò]
-
A.
Paternò
chosen
Paternò is a historic town in eastern Sicily, Italy, known for its medieval castle, agricultural production, and proximity to Mount Etna.
-
B.
Villabate
Villabate is a town in Sicily, Italy, situated near the city of Palermo and known for its role as a residential and commercial suburb of the regional capital.
-
C.
Avola
Avola is a coastal town in southeastern Sicily, Italy, known for its wine production—especially Nero d’Avola—and its almonds.
-
D.
Giarre
Giarre is a town in eastern Sicily, Italy, situated near the Ionian coast and known for its historic architecture and proximity to Mount Etna.
-
E.
Caltagirone
Caltagirone is a historic town in Sicily renowned for its rich Baroque architecture and traditional ceramic craftsmanship.
- 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_69f6c0d2818c8190a1bea5f1fc8a9f59 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 8, 2026, 9:47 p.m.