Triple
T23306171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Falterona |
E590439
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Casentino valley |
—
|
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 valley | Statement: [Mount Falterona, hasViewOf, Casentino valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casentino valley Context triple: [Mount Falterona, hasViewOf, Casentino valley]
-
A.
Camonica Valley
Camonica Valley is a large Alpine valley in northern Italy’s Lombardy region, renowned for its prehistoric rock carvings and dramatic mountain landscapes.
-
B.
Valdelsa valley
Valdelsa valley is a scenic Tuscan valley in central Italy, known for its rolling hills, medieval towns, and historic landscapes along the Elsa River.
-
C.
Valtiberina valley
Valtiberina valley is a scenic valley in central Italy, traversed by the upper Tiber River and known for its historic hill towns and landscapes.
-
D.
Rieti Valley
Rieti Valley is a historic valley in central Italy closely associated with Saint Francis of Assisi and early Franciscan spirituality.
-
E.
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.
- 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.