Triple

T9398250
Position Surface form Disambiguated ID Type / Status
Subject Province of Cremona E226400 entity
Predicate contains P35 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: [Province of Cremona, contains, Casalmaggiore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casalmaggiore
Context triple: [Province of Cremona, contains, 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51541020819097da2eb60be73760 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1221da00c8190ada494660735f741 completed April 4, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:46 p.m.