Triple
T19780045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maser |
E475106
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Montebelluna |
—
|
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: Montebelluna | Statement: [Maser, locatedNear, Montebelluna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montebelluna Context triple: [Maser, locatedNear, Montebelluna]
-
A.
Montebelluna
chosen
Montebelluna is a town in the Veneto region of northern Italy, known for its footwear industry and proximity to the foothills of the Dolomite mountains.
-
B.
Montechiaro
Montechiaro is a small locality within the municipality of Prato allo Stelvio in South Tyrol, northern Italy.
-
C.
Montegaldella
Montegaldella is a small municipality in the Veneto region of northern Italy, known for its rural landscape and proximity to the city of Vicenza.
-
D.
Roccavione
Roccavione is a municipality in the Province of Cuneo in Italy’s Piedmont region, located in the Alpine foothills near the French border.
-
E.
Monterubbiano
Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65382ff308190832800dd60675f7a |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.