Triple

T10080962
Position Surface form Disambiguated ID Type / Status
Subject Carlo Rota E213898 entity
Predicate familyName P18 FINISHED
Object Rota E251648 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: Rota | Statement: [Carlo Rota, familyName, Rota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rota
Context triple: [Carlo Rota, familyName, Rota]
  • A. Rota chosen
    Rota is an Italian surname most famously associated with composer Nino Rota, known for his film scores including those for Federico Fellini and The Godfather.
  • B. Rota
    Rota is one of the principal islands of the Northern Mariana Islands, known for its rugged limestone cliffs, clear waters, and relatively undeveloped, rural character.
  • C. Rota
    Rota is a Polish patriotic song and poem by Maria Konopnicka, historically significant as a symbol of resistance against Germanization and once considered a candidate for Poland’s national anthem.
  • D. Ruta
    Ruta is a small genus of strongly aromatic, evergreen shrubs in the citrus family, best known for the herb rue (Ruta graveolens) used in traditional medicine and as a bitter flavoring.
  • E. Rodas
    Rodas is a professional footballer known for playing for the Chinese club Hangzhou Greentown F.C.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd032ef288190a961d266d9ecafbc completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b660987c8190a6a29d9e56acbff7 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.