Triple
T11562044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isnello |
E274166
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Castelbuono |
E274163
|
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: Castelbuono | Statement: [Isnello, locatedNear, Castelbuono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castelbuono Context triple: [Isnello, locatedNear, Castelbuono]
-
A.
Castelbuono
chosen
Castelbuono is a historic medieval town in Sicily, Italy, renowned for its well-preserved castle, traditional architecture, and location within the Madonie mountain region.
-
B.
Belpasso
Belpasso is a town and comune in eastern Sicily, Italy, situated on the slopes of Mount Etna within the Metropolitan City of Catania.
-
C.
Cataldo
Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
-
D.
Avola
Avola is a coastal town in southeastern Sicily, Italy, known for its wine production—especially Nero d’Avola—and its almonds.
-
E.
Genazzano
Genazzano is a historic town in the Lazio region of central Italy, known for its medieval architecture and religious heritage.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd2016481909b33848af3d1d6c1 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713bcc0048190bec14ac4ab84d51d |
completed | April 21, 2026, 6:05 a.m. |
Created at: April 8, 2026, 9:37 p.m.