Triple
T6356177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bucine |
E142996
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Valdarno |
E531715
|
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: Valdarno | Statement: [Bucine, partOf, Valdarno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdarno Context triple: [Bucine, partOf, Valdarno]
-
A.
Valdarno
chosen
Valdarno is a valley region in Tuscany, Italy, shaped by the Arno River and known for its historic towns and characteristic landscapes.
-
B.
Figline Valdarno
Figline Valdarno is a historic town in Tuscany, Italy, known for its medieval heritage and as the birthplace of the Renaissance philosopher Marsilio Ficino.
-
C.
Viareggini
Viareggini are the inhabitants of Viareggio, a Tuscan coastal city in Italy renowned for its beaches and famous Carnival.
-
D.
Vetralla
Vetralla is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and location along the ancient Via Cassia.
-
E.
Cotignola
Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e22c00819089bc68efb85bc2c8 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640afafd48190b900fa5e0956d538 |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 4:32 p.m.