Triple

T20355826
Position Surface form Disambiguated ID Type / Status
Subject Italo De Zan E496642 entity
Predicate regionOfActivity P82 FINISHED
Object Veneto, Italy 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: Veneto, Italy | Statement: [Italo De Zan, regionOfActivity, Veneto, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veneto, Italy
Context triple: [Italo De Zan, regionOfActivity, Veneto, Italy]
  • A. Este, Veneto
    Este, Veneto is a historic town in northeastern Italy renowned as an important archaeological and cultural center, particularly for its rich pre-Roman and Roman-era heritage.
  • B. Veneto chosen
    Veneto is a region in northeastern Italy known for its historic cities like Venice and Verona, rich cultural heritage, and diverse landscapes ranging from the Adriatic coast to the Dolomite mountains.
  • C. Triveneto
    Triveneto is a historical-geographical region in northeastern Italy that traditionally comprises Veneto, Trentino-Alto Adige/Südtirol, and Friuli Venezia Giulia.
  • D. Emilia-Romagna
    Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
  • E. Venetia
    Venetia is a novel by Benjamin Disraeli, published in 1837, that blends romance and political themes in a fictionalized portrayal of figures resembling Lord Byron and Percy Bysshe Shelley.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67853f10881908ecde94036804a8a completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.