Triple
T7027269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parmigianino |
E163179
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Casalmaggiore |
E517224
|
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: Casalmaggiore | Statement: [Parmigianino, deathPlace, Casalmaggiore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casalmaggiore Context triple: [Parmigianino, deathPlace, Casalmaggiore]
-
A.
Casalmaggiore
chosen
Casalmaggiore is a town in northern Italy’s Lombardy region, situated in the province of Cremona near the banks of the Po River.
-
B.
Cotignola
Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
-
C.
Gubbio
Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
-
D.
Chivasso
Chivasso is a town and comune in the Piedmont region of northwestern Italy, situated near Turin along the Po River.
-
E.
Forlì
Forlì is a historic city in Italy’s Emilia-Romagna region, known for its medieval architecture, Renaissance art, and role as a provincial capital.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fee32081908eff988b18daa6d0 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ed5afb081909838f01bde45268d |
completed | March 28, 2026, 9:57 p.m. |
Created at: March 27, 2026, 2:35 p.m.