Triple

T22883092
Position Surface form Disambiguated ID Type / Status
Subject Victoire E567527 entity
Predicate hasVariant P455 FINISHED
Object Vittoria 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: Vittoria | Statement: [Victoire, hasVariant, Vittoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vittoria
Context triple: [Victoire, hasVariant, Vittoria]
  • A. Vittoria chosen
    Vittoria is the Italian form of the name Victoria, commonly used as a female given name and place name in Italy.
  • B. Vittoria
    Vittoria is a small rural locality situated within the Blayney Shire region of New South Wales, Australia.
  • C. Ludovica
    Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
  • D. Vincenza
    Vincenza is an Italian feminine given name, commonly used as the female counterpart of Vincenzo.
  • E. Guglielma
    Guglielma is an Italian feminine given name, serving as the female variant of Guglielmo (William).
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5dab048190a09c725dad123472 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.