Triple

T19276234
Position Surface form Disambiguated ID Type / Status
Subject Faetano E482061 entity
Predicate hasBorderWith P224 FINISHED
Object Fiorentino NE NERFINISHED

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: Fiorentino | Statement: [Faetano, hasBorderWith, Fiorentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiorentino
Context triple: [Faetano, hasBorderWith, Fiorentino]
  • A. Fiorentino chosen
    Fiorentino is one of the nine municipalities (castelli) of San Marino, located in the southeastern part of the country.
  • B. Fiorentino
    Fiorentino is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and the arts.
  • C. Fiorenzo
    Fiorenzo is an Italian given name, notably borne by the celebrated professional cyclist Fiorenzo Magni.
  • D. Sesto Fiorentino
    Sesto Fiorentino is a town in the Metropolitan City of Florence in Tuscany, central Italy, known for its historical center and traditional ceramics industry.
  • E. Pratovecchio
    Pratovecchio is a small historic town in Tuscany, central Italy, known for its medieval heritage and scenic setting in the Casentino valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbbdf3481909abb46c71f64106a completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.