Triple

T16210521
Position Surface form Disambiguated ID Type / Status
Subject Prague 2 E393450 entity
Predicate contains P35 FINISHED
Object Náměstí Míru E1192852 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: Náměstí Míru | Statement: [Prague 2, contains, Náměstí Míru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Náměstí Míru
Context triple: [Prague 2, contains, Náměstí Míru]
  • A. Náměstí Míru chosen
    Náměstí Míru is a Prague Metro station in the Vinohrady district, known for its deep underground construction and proximity to the Church of St. Ludmila and a popular city square.
  • B. Vítězné náměstí
    Vítězné náměstí is a major square and traffic hub in Prague’s Dejvice district, known for its distinctive circular layout and surrounding university and administrative buildings.
  • C. Horní náměstí
    Horní náměstí is the main historic square of Olomouc, Czech Republic, known for its Baroque architecture and the UNESCO-listed Holy Trinity Column.
  • D. Dolní náměstí
    Dolní náměstí is a historic central square in the Czech city of Olomouc, known for its Baroque architecture, fountains, and vibrant public life.
  • E. Husovo náměstí
    Husovo náměstí is the central historic town square of Beroun in the Czech Republic, known for its traditional architecture and local civic life.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22713282481909c7c0d0782213461 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c46bd2081908d6d9fd1898ea5f7 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:03 a.m.