Triple
T11512156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Florence |
E272939
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pontassieve |
E629741
|
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: Pontassieve | Statement: [Province of Florence, contains, Pontassieve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pontassieve Context triple: [Province of Florence, contains, Pontassieve]
-
A.
Pontassieve
chosen
Pontassieve is a Tuscan town in central Italy, near Florence, known for its historic bridges, wine production, and scenic position at the confluence of several rivers.
-
B.
Mercatale Valdarno
Mercatale Valdarno is a village in Tuscany, central Italy, that forms one of the localities within the municipality of Bucine in the province of Arezzo.
-
C.
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.
-
D.
Viareggini
Viareggini are the inhabitants of Viareggio, a Tuscan coastal city in Italy renowned for its beaches and famous Carnival.
-
E.
Trecastagni
Trecastagni is a town and comune on the slopes of Mount Etna in Sicily, Italy, known for its historic churches and traditional festivals.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db7af688190b68668eb39d382a8 |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e625055dfc81909a87418a3ed40027 |
completed | April 20, 2026, 1:07 p.m. |
Created at: April 8, 2026, 9:36 p.m.