Triple

T6064502
Position Surface form Disambiguated ID Type / Status
Subject Giuliano E135120 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Giulianetto E567678 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: Giulianetto | Statement: [Giuliano, hasDiminutiveForm, Giulianetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giulianetto
Context triple: [Giuliano, hasDiminutiveForm, Giulianetto]
  • A. Giulianino chosen
    Giulianino is an Italian diminutive given name, typically used as an affectionate or smaller form of Giuliano.
  • B. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • C. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • D. Chiamparino
    Chiamparino is an Italian surname most notably associated with Sergio Chiamparino, a prominent center-left politician and former mayor of Turin.
  • E. Guglielmino
    Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05723c91c819090b4d4672e72f9f3 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135761d0081908864f17234af11bd completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:10 p.m.