Triple

T8925080
Position Surface form Disambiguated ID Type / Status
Subject Gattilusio E212519 entity
Predicate ethnicOrigin P194 FINISHED
Object Genoese E320230 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: Genoese | Statement: [Gattilusio, ethnicOrigin, Genoese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genoese
Context triple: [Gattilusio, ethnicOrigin, Genoese]
  • A. 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.
  • B. Genoese dialect chosen
    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.
  • C. 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.
  • D. Livornese
    Livornese refers to people or things originating from the port city of Livorno in Tuscany, Italy, including its local culture, dialect, and traditions.
  • E. Florinese
    Florinese refers to a fictional nationality from the kingdom of Florin in William Goldman’s novel and the film adaptation "The Princess Bride."
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66547de881909ea9bfd104b32893 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba58e9ec81909141c516d05ac790 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.