Triple

T22777764
Position Surface form Disambiguated ID Type / Status
Subject Museo Bodoniano E563749 entity
Predicate operatedBy P86 FINISHED
Object Comune di Parma 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: Comune di Parma | Statement: [Museo Bodoniano, operatedBy, Comune di Parma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Parma
Context triple: [Museo Bodoniano, operatedBy, Comune di Parma]
  • A. Comune di Parma chosen
    Comune di Parma is the municipal government and administrative body responsible for managing the city of Parma in northern Italy.
  • B. Comune di Prato
    Comune di Prato is the municipal government authority responsible for administering the city of Prato in Tuscany, Italy.
  • C. Comune di Piacenza
    The Comune di Piacenza is the municipal government and administrative authority of the city of Piacenza in northern Italy.
  • D. Comune di Pisa
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • E. Comune di Modena
    Comune di Modena is the modern Italian municipality that encompasses the historic city of Modena in the Emilia-Romagna region, known for its rich cultural heritage, cuisine, and automotive industry.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b631c6881908a6687920923dcf4 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.