Triple

T17478036
Position Surface form Disambiguated ID Type / Status
Subject Michalská ulica E425587 entity
Predicate hasNameInLanguage P15 FINISHED
Object Michalská ulica (Slovak) NE NERFINISHED

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: Michalská ulica (Slovak) | Statement: [Michalská ulica, hasNameInLanguage, Michalská ulica (Slovak)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michalská ulica (Slovak)
Context triple: [Michalská ulica, hasNameInLanguage, Michalská ulica (Slovak)]
  • A. Michalská ulica chosen
    Michalská ulica is a historic street in Bratislava’s Old Town, known for its preserved medieval architecture, shops, and cafés.
  • B. Metelkova ulica
    Metelkova ulica is a street in Ljubljana, Slovenia, best known for hosting the alternative cultural and social center Metelkova City.
  • C. Vinohradská Street
    Vinohradská Street is a major thoroughfare in Prague, Czech Republic, known for its historic architecture and central location in the Vinohrady district.
  • D. Ulička
    Ulička is a small river in eastern Slovakia that serves as a tributary of the Laborec River.
  • E. Mezibranská Street
    Mezibranská Street is a central Prague thoroughfare near Wenceslas Square, known for its proximity to major cultural institutions and the Muzeum metro station.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bd865081909b5f84405c40ff14 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.