Triple

T1991414
Position Surface form Disambiguated ID Type / Status
Subject Sorrento E43258 entity
Predicate regionalLanguage P237 FINISHED
Object Neapolitan E181079 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: [Sorrento, regionalLanguage, Neapolitan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neapolitan
Context triple: [Sorrento, regionalLanguage, Neapolitan]
  • A. Neapolitan chosen
    Neapolitan is a Romance language spoken in and around Naples and much of southern Italy, known for its distinct phonology, vocabulary, and rich literary and musical traditions.
  • B. Cagli
    Cagli is a historic town in Italy’s Marche region, known for its medieval architecture and scenic setting in the Apennine foothills.
  • C. Margherita
    Margherita is the Italian form of the female given name Margaret, commonly used in Italy and other Italian-speaking communities.
  • D. Caprese
    Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
  • E. The Italian
    The Italian is a 1797 Gothic novel by Ann Radcliffe, renowned for its suspenseful plot, atmospheric settings, and exploration of religious and psychological themes.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb846f1c0819081edd8d5eb59adce completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0338631c8190a8c7e5177ac473a8 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.