Triple

T18535352
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Venetia E452949 entity
Predicate namedAfter P63 FINISHED
Object Venetia 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: Venetia | Statement: [Kingdom of Venetia, namedAfter, Venetia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venetia
Context triple: [Kingdom of Venetia, namedAfter, Venetia]
  • A. Venetia chosen
    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.
  • B. Campidanesu
    Campidanesu is the native name for Campidanese Sardinian, a major dialect of the Sardinian language spoken in southern Sardinia.
  • C. Lombardy–Venetia
    Lombardy–Venetia was a 19th-century crown land of the Austrian Empire in northern Italy, encompassing the regions of Lombardy and Venetia until their unification with the Kingdom of Italy.
  • D. Senigallia
    Senigallia is a historic coastal town in Italy’s Marche region, known for its Adriatic seaside resort, Renaissance heritage, and well-preserved old town.
  • E. Triveneto
    Triveneto is a historical-geographical region in northeastern Italy that traditionally comprises Veneto, Trentino-Alto Adige/Südtirol, and Friuli Venezia Giulia.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5340193588190ace2c09c6a94cf81 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.