Triple

T10926164
Position Surface form Disambiguated ID Type / Status
Subject Rovenna E258073 entity
Predicate above P4503 FINISHED
Object Cernobbio E47235 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: Cernobbio | Statement: [Rovenna, above, Cernobbio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cernobbio
Context triple: [Rovenna, above, Cernobbio]
  • A. Cernobbio chosen
    Cernobbio is a picturesque town in northern Italy known for its lakeside villas and scenic location on the shores of Lake Como.
  • B. Chiasso
    Chiasso is a Swiss border town in the canton of Ticino, known as an important rail and road transit point between Switzerland and Italy.
  • C. Baveno
    Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
  • D. Domodossola
    Domodossola is a town in northern Italy’s Piedmont region, historically situated in the territory once inhabited by the ancient Lepontii people.
  • E. Mergozzo
    Mergozzo is a small Italian lakeside town in the Piedmont region, known for its scenic Lake Mergozzo and proximity to the Alps.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77090997881909d81b15c6cdfd91c completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e54263e930819099524917506c7eab completed April 19, 2026, 9 p.m.
Created at: April 8, 2026, 9:22 p.m.