Triple
T8811421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagni di Vinadio |
E209671
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Vinadio |
E685581
|
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: Vinadio | Statement: [Bagni di Vinadio, locatedIn, Vinadio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinadio Context triple: [Bagni di Vinadio, locatedIn, Vinadio]
-
A.
Vinadio
chosen
Vinadio is a historic alpine municipality in Italy’s Piedmont region, known for its mountain fortifications and thermal baths.
-
B.
Gino
Gino is a masculine given name of Italian origin commonly used in Italy and among Italian communities worldwide.
-
C.
Oberto
Oberto is a young boy character in Handel’s opera "Alcina," known for his quest to find his missing father on the enchantress’s island.
-
D.
Barbato
Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
-
E.
Vito
Vito is a masculine given name of Italian origin, famously borne by mob boss Vito Genovese and the fictional character Vito Corleone.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fed18f8819087b0282bf8c4208c |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf892b813481909739f72ffd080f49 |
completed | April 3, 2026, 9:32 a.m. |
Created at: March 30, 2026, 6:45 p.m.