Triple

T7949147
Position Surface form Disambiguated ID Type / Status
Subject The Last Kiss of Romeo and Juliet E184569 entity
Predicate locatedIn P40 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: [The Last Kiss of Romeo and Juliet, locatedIn, Tremezzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tremezzo
Context triple: [The Last Kiss of Romeo and Juliet, locatedIn, 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. 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.
  • C. 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.
  • D. Varenna
    Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
  • E. Lomazzo
    Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b2d09a4819097aa49e29a5426ec completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe03c7d308190aec1172415be995c completed March 31, 2026, 2:54 p.m.
Created at: March 30, 2026, 5:10 p.m.