Triple

T3730093
Position Surface form Disambiguated ID Type / Status
Subject Venetian navy E79039 entity
Predicate language P15 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: [Venetian navy, language, Venetian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venetian
Context triple: [Venetian navy, language, 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. 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.
  • C. Milanese
    Milanese is a Western Lombard dialect spoken primarily in and around the city of Milan in northern Italy.
  • D. Triestine Venetian dialect
    The Triestine Venetian dialect is a regional variety of the Venetian language spoken in and around Trieste, characterized by a blend of Venetian, Slovene, German, and local linguistic influences.
  • E. Genoese dialect
    The Genoese dialect is a prominent variety of the Ligurian language traditionally spoken in the city of Genoa and its surrounding areas in northwestern 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb1bb5408190990ea4dfbdab5c68 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db167c5881909772cf1e78717995 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.