Triple

T11862028
Position Surface form Disambiguated ID Type / Status
Subject Artur Schnabel E282181 entity
Predicate residence P75 FINISHED
Object Tremezzo E40391 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: Tremezzo | Statement: [Artur Schnabel, residence, Tremezzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tremezzo
Context triple: [Artur Schnabel, residence, Tremezzo]
  • A. Tremezzo chosen
    Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
  • B. Pandino
    Pandino is a small Italian town in the Lombardy region, known for its historic Visconti castle and agricultural surroundings.
  • C. Peccioli
    Peccioli is a historic hilltop town in Tuscany, Italy, known for its medieval architecture, cultural initiatives, and innovative waste-to-energy and contemporary art projects.
  • D. Vimercate
    Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
  • E. Melzo
    Melzo is a small Italian town and comune in the Lombardy region, situated east of Milan within its metropolitan area.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69b16bc8190999a0c1240f9ce6a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f49cd0f8e0819081e4492e0002e48a completed May 1, 2026, 12:30 p.m.
Created at: April 8, 2026, 9:43 p.m.