Triple

T3793577
Position Surface form Disambiguated ID Type / Status
Subject Lombardy–Venetia florin E89714 entity
Predicate usedIn P98 FINISHED
Object Venetia E40281 NE FINISHED

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: [Lombardy–Venetia florin, usedIn, Venetia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venetia
Context triple: [Lombardy–Venetia florin, usedIn, Venetia]
  • A. 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.
  • B. 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.
  • C. Triveneto
    Triveneto is a historical-geographical region in northeastern Italy that traditionally comprises Veneto, Trentino-Alto Adige/Südtirol, and Friuli Venezia Giulia.
  • D. 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.
  • E. Emilia-Romagna
    Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76b809c81908312f308fbe85bf4 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5121874e8819088f79e1cf771a73a completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:15 p.m.