Triple

T23058174
Position Surface form Disambiguated ID Type / Status
Subject Province of Zara E574218 entity
Predicate ethnicGroupsHistorical P3032 FINISHED
Object Italians 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: Italians | Statement: [Province of Zara, ethnicGroupsHistorical, Italians]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italians
Context triple: [Province of Zara, ethnicGroupsHistorical, Italians]
  • A. Italians chosen
    Italians are a Romance-speaking ethnic group native primarily to the Italian Peninsula, known for their rich cultural heritage in art, cuisine, music, and history.
  • B. Tuscans
    Tuscans are a central Italian ethnic group primarily associated with the region of Tuscany, known for their distinct dialect, rich cultural heritage, and historical influence on art, literature, and the development of the Italian language.
  • C. Meneghini
    Meneghini is an Italian surname most notably associated with Giovanni Battista Meneghini, the husband and manager of opera singer Maria Callas.
  • D. Italo
    Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
  • E. Italo
    Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18681bec48190a8226b3d89d19b9f completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:55 p.m.