Triple
T17861563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincenzo Scamozzi |
E446082
|
entity |
| Predicate | placeOfActivity |
P1527
|
FINISHED |
| Object | Sabbioneta |
—
|
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: Sabbioneta | Statement: [Vincenzo Scamozzi, placeOfActivity, Sabbioneta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabbioneta Context triple: [Vincenzo Scamozzi, placeOfActivity, Sabbioneta]
-
A.
Sabbioneta
chosen
Sabbioneta is a Renaissance-era planned town in northern Italy renowned for its well-preserved urban layout, architecture, and cultural heritage.
-
B.
Lodigiano
Lodigiano is a regional variety of the Lombard language traditionally spoken in and around the city of Lodi in northern Italy.
-
C.
Montichiari
Montichiari is a town in northern Italy known for its historic center, medieval castle, and location in the Lombardy region near Brescia.
-
D.
Legnago
Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
-
E.
Bussolengo
Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.