Triple

T21952521
Position Surface form Disambiguated ID Type / Status
Subject Vegliot Dalmatian E542101 entity
Predicate languageContact P22730 FINISHED
Object Venetian 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: Venetian | Statement: [Vegliot Dalmatian, languageContact, Venetian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venetian
Context triple: [Vegliot Dalmatian, languageContact, Venetian]
  • A. Venetian
    Venetian is a 2007 novel by Danish author Eva-Marie Liffner that blends historical mystery and atmospheric storytelling set against the backdrop of Venice.
  • B. Venetian
    Venetian refers to the style, culture, and aesthetic associated with Venice, Italy, often evoking its canals, architecture, and romantic ambiance.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243d43d8819084e280b129631288 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:59 p.m.