Triple

T22786050
Position Surface form Disambiguated ID Type / Status
Subject Comune di Verona E563968 entity
Predicate hasSeatInBuilding P68735 FINISHED
Object Palazzo Barbieri 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: Palazzo Barbieri | Statement: [Comune di Verona, hasSeatInBuilding, Palazzo Barbieri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palazzo Barbieri
Context triple: [Comune di Verona, hasSeatInBuilding, Palazzo Barbieri]
  • A. Palazzo Barbieri chosen
    Palazzo Barbieri is a 19th-century neoclassical building in Verona, Italy, that serves as the city’s town hall and stands prominently near the ancient Roman Arena di Verona.
  • B. Palazzo Baracchini
    Palazzo Baracchini is a historic government building in Rome that serves as the seat of Italy’s Ministry of Defence.
  • C. Palazzo Ricchieri
    Palazzo Ricchieri is a historic medieval palace in Pordenone, Italy, noted for its distinctive architecture and cultural significance.
  • D. Palazzo Barbo
    Palazzo Barbo is a historic Renaissance palace in Rome that forms part of the larger Palazzo Venezia complex.
  • E. Palazzo Ferrajoli
    Palazzo Ferrajoli is a historic aristocratic palace in central Rome, known for its elegant architecture and prominent location near major political and cultural institutions.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c321f848190a4443aa6bb4e57d7 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.