Triple

T7027301
Position Surface form Disambiguated ID Type / Status
Subject Parmigianino E163179 entity
Predicate burialPlace P196 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, burialPlace, Casalmaggiore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casalmaggiore
Context triple: [Parmigianino, burialPlace, 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_69c861218ac081909798edadae16162f completed March 28, 2026, 11:15 p.m.
Created at: March 27, 2026, 2:35 p.m.