Triple

T18579409
Position Surface form Disambiguated ID Type / Status
Subject Palazzo Farnese (Piacenza) E454069 entity
Predicate ownedBy P347 FINISHED
Object Comune di Piacenza 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 Piacenza | Statement: [Palazzo Farnese (Piacenza), ownedBy, Comune di Piacenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Piacenza
Context triple: [Palazzo Farnese (Piacenza), ownedBy, Comune di Piacenza]
  • A. Comune di Piacenza chosen
    The Comune di Piacenza is the municipal government and administrative authority of the city of Piacenza in northern Italy.
  • B. Comune di Parma
    Comune di Parma is the municipal government and administrative body responsible for managing the city of Parma in northern Italy.
  • C. Comune di Prato
    Comune di Prato is the municipal government authority responsible for administering the city of Prato in Tuscany, 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 Faenza
    Comune di Faenza is the municipal government authority responsible for administering the city of Faenza in the Emilia-Romagna region of Italy.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543ce63188190b14a37c5ca9c2726 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:43 a.m.