Triple

T621343
Position Surface form Disambiguated ID Type / Status
Subject Venetic alphabet E14519 entity
Predicate region P40 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: [Venetic alphabet, region, Venetia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venetia
Context triple: [Venetic alphabet, region, 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. 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. Emilia-Romagna
    Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
  • D. Liguria
    Liguria is a coastal region in northwestern Italy known for its picturesque Riviera, including the Cinque Terre and the city of Genoa.
  • E. Apulia
    Apulia is a region in southeastern Italy forming the heel of the Italian "boot," known for its ancient Greek heritage, whitewashed hill towns, olive groves, and Adriatic coastline.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e3e5d80819096e72e11b533f931 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a580335a5c819096d0c105178c4ad7 completed March 2, 2026, 12:18 p.m.
Created at: March 1, 2026, 7:35 p.m.