Triple

T6872969
Position Surface form Disambiguated ID Type / Status
Subject Triveneto E158596 entity
Predicate languageUsed P238 FINISHED
Object Venetian E127641 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: Venetian | Statement: [Triveneto, languageUsed, Venetian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venetian
Context triple: [Triveneto, languageUsed, Venetian]
  • A. Venetian language chosen
    The Venetian language is a Romance language spoken primarily in the Veneto region of Italy, historically important in trade and culture across the Adriatic and Mediterranean.
  • B. Istrian Venetian
    Istrian Venetian is a regional variety of the Venetian language traditionally spoken in parts of the Istrian peninsula, reflecting a blend of Venetian and local linguistic influences.
  • C. Central Venetian
    Central Venetian is the main variety of the Venetian language spoken in and around the city of Venice and often considered its most prestigious and influential dialect.
  • D. Genoese Italian
    Genoese Italian is a regional variety of the Italian language spoken in and around the city of Genoa in Liguria, known for its distinct phonology and vocabulary.
  • E. Milanese
    Milanese is a Western Lombard dialect spoken primarily in and around the city of Milan in northern Italy.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c73ea08190b6bb1463e7ead47b completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742af0df88190bb23b7495c279e08 completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.