Triple

T12856352
Position Surface form Disambiguated ID Type / Status
Subject Grimaldi E307465 entity
Predicate hasEthnicOrigin P194 FINISHED
Object Genoese E938903 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: [Grimaldi, hasEthnicOrigin, Genoese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genoese
Context triple: [Grimaldi, hasEthnicOrigin, 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
    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. Genoese people chosen
    The Genoese people are an Italian ethnic group from the city and region of Genoa in Liguria, historically renowned as maritime traders and influential participants in Mediterranean commerce and culture.
  • D. 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.
  • E. Venetian
    Venetian refers to the style, culture, and aesthetic associated with Venice, Italy, often evoking its canals, architecture, and romantic ambiance.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970231ce48190a4eabc4b8c24a3ff completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba9a53c81908e9ed120f6cb94af completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.