Triple
T23306150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Falterona |
E590439
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Casentino |
—
|
NE NERFINISHED |
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: Casentino | Statement: [Mount Falterona, partOf, Casentino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casentino Context triple: [Mount Falterona, partOf, Casentino]
-
A.
Casentino
chosen
Casentino is a scenic valley in eastern Tuscany, Italy, known for its medieval towns, forests, and the upper course of the Arno River.
-
B.
Comenduno
Comenduno is a frazione (hamlet) of the municipality of Albino in the Lombardy region of northern Italy.
-
C.
Montegranaro
Montegranaro is an Italian town in the Marche region, known for its historic center and strong tradition in shoemaking and leather craftsmanship.
-
D.
Ostiglia
Ostiglia is a small Italian town in Lombardy known for its strategic location along the Po River and its historical role as a river port and trading center.
-
E.
Vinchio
Vinchio is a small village in Italy’s Piedmont region, known for its vineyards and location within the historic Monferrato wine-producing area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972737c08190bd011776564c3861 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.