Triple
T13221575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferentillo |
E314766
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Valnerina |
E314765
|
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: Valnerina | Statement: [Ferentillo, locatedIn, Valnerina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valnerina Context triple: [Ferentillo, locatedIn, Valnerina]
-
A.
Valnerina
chosen
Valnerina is a scenic valley in central Italy known for its rugged landscapes, medieval villages, and outdoor activities along the Nera River.
-
B.
Val di Greve
Val di Greve is a valley area in the Chianti region of Tuscany, Italy, known for its historic villages and wine-producing landscapes.
-
C.
Arzerello
Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
D.
Val Divedro
Val Divedro is an alpine valley in the Piedmont region of northern Italy, known for its mountainous landscapes and location along important transalpine routes near the Swiss border.
-
E.
Brisighella
Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf581508190883033f0c961736a |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a3407388190bef886884cb75912 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:18 p.m.