Triple

T176684
Position Surface form Disambiguated ID Type / Status
Subject Italian language E3588 entity
Predicate hasDialects P4251 FINISHED
Object Neapolitan E14805 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: Neapolitan | Statement: [Italian language, hasDialects, Neapolitan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neapolitan
Context triple: [Italian language, hasDialects, Neapolitan]
  • A. Predappio
    Predappio is a small town in Italy’s Emilia-Romagna region, best known as the birthplace of fascist dictator Benito Mussolini and a site of related historical tourism and controversy.
  • B. Naples chosen
    Naples is a historic coastal city in southern Italy renowned for its rich cultural heritage, vibrant street life, and as the birthplace of pizza.
  • C. Lazio
    Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
  • D. Genoa
    Genoa is a historic port city in northwestern Italy known for its significant maritime heritage, trade, and role as a major economic hub on the Ligurian coast.
  • E. Sicily
    Sicily is the largest island in the Mediterranean Sea, known for its rich ancient history, distinctive culture, and strategic location at the crossroads of Europe and North Africa.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258fd278481908ad4498e03f38e2f completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ee8a9e488190958091fb3bcf2d01 completed Feb. 28, 2026, 1:32 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.