Triple
T18907896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piovega |
E462513
|
entity |
| Predicate | hasNeighbouringLocality |
P68061
|
FINISHED |
| Object | Arzerello |
—
|
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: Arzerello | Statement: [Piovega, hasNeighbouringLocality, Arzerello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arzerello Context triple: [Piovega, hasNeighbouringLocality, Arzerello]
-
A.
Arzerello
chosen
Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
B.
Zoncolan
Zoncolan is a notoriously steep mountain in the Italian Alps, famous as one of the toughest climbs in professional road cycling.
-
C.
Ornavasso
Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
-
D.
Fagnano Alto
Fagnano Alto is a small mountain village and comune in the Abruzzo region of central Italy, known for its scenic setting within the Apennines and traditional rural character.
-
E.
Lomazzo
Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52eed1881908929dace845ae008 |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.