Triple

T10926225
Position Surface form Disambiguated ID Type / Status
Subject Ambrosetti Forum E258074 entity
Predicate alsoKnownAs P39 FINISHED
Object Cernobbio Forum 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 Forum | Statement: [Ambrosetti Forum, alsoKnownAs, Cernobbio Forum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cernobbio Forum
Context triple: [Ambrosetti Forum, alsoKnownAs, Cernobbio Forum]
  • 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. Lugano Arte e Cultura
    Lugano Arte e Cultura is a major cultural center in Lugano, Switzerland, hosting concerts, theater, dance, and art exhibitions.
  • C. 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.
  • D. Tremezzo
    Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
  • E. Baveno
    Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
  • 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_69e217369b648190914c58db6f6e0200 completed April 17, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:22 p.m.