Triple

T3354237
Position Surface form Disambiguated ID Type / Status
Subject Chios E70567 entity
Predicate historicalRuler P3022 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: [Chios, historicalRuler, Genoese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genoese
Context triple: [Chios, historicalRuler, 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. Livornese
    Livornese refers to people or things originating from the port city of Livorno in Tuscany, Italy, including its local culture, dialect, and traditions.
  • D. Ligurian language
    Ligurian language is a Romance language of northwestern Italy, particularly associated with the city of Genoa and the Liguria region.
  • E. Gruzinim
    Gruzinim are members of the ancient Georgian Jewish community, known for their distinct religious traditions, language influences, and long history in the Caucasus region.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb24036848190bac779d17dfdce3b completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325373a1c8190b26d883e2f0dd92b completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.