Triple

T13436038
Position Surface form Disambiguated ID Type / Status
Subject Genoese dialect E320230 entity
Predicate hasLexicalInfluenceFrom P2268 FINISHED
Object Standard Italian E3588 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: Standard Italian | Statement: [Genoese dialect, hasLexicalInfluenceFrom, Standard Italian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Italian
Context triple: [Genoese dialect, hasLexicalInfluenceFrom, Standard Italian]
  • A. The Italian
    The Italian is a 1797 Gothic novel by Ann Radcliffe, renowned for its suspenseful plot, atmospheric settings, and exploration of religious and psychological themes.
  • B. Italian language chosen
    The Italian language is a Romance language spoken primarily in Italy and parts of Switzerland, known for its Latin roots, melodic sound, and central role in art, music, and culinary culture.
  • C. Italian
    Italian refers to a person or cultural identity associated with Italy, its language, traditions, and national heritage.
  • D. Milanese
    Milanese is a Western Lombard dialect spoken primarily in and around the city of Milan in northern Italy.
  • E. Talian
    Talian is a Brazilian variety of Venetian-based Italian dialects spoken mainly in southern Brazil, particularly within Italian immigrant communities.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee42a8c8190a85716b4a6db335e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739902d148190ac14ac66f1f9512f completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.