Triple

T18351921
Position Surface form Disambiguated ID Type / Status
Subject Olšany Cemeteries E439684 entity
Predicate hasNearbyStreet P8235 FINISHED
Object Želivského street NE NERFINISHED

How this triple was built (3 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: Želivského street | Statement: [Olšany Cemeteries, hasNearbyStreet, Želivského street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Želivského street
Context triple: [Olšany Cemeteries, hasNearbyStreet, Želivského street]
  • A. Vinohradská Street
    Vinohradská Street is a major thoroughfare in Prague, Czech Republic, known for its historic architecture and central location in the Vinohrady district.
  • B. Celetná Street
    Celetná Street is a historic and picturesque thoroughfare in Prague’s Old Town, known for its medieval architecture, shops, and role as part of the traditional Royal Route.
  • C. 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.
  • D. Laurinská Street
    Laurinská Street is a historic pedestrian street in Bratislava’s Old Town, known for its shops, cafés, and proximity to the city’s central landmarks.
  • E. Wolfova Street
    Wolfova Street is a central pedestrian street in Ljubljana, Slovenia, known for its historic architecture and its connection between Prešeren Square and the city’s Old Town.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Želivského street
Target entity description: Želivského street is a major thoroughfare in Prague, Czech Republic, known for its transport connections and proximity to the large Olšany Cemeteries.
  • A. Vinohradská Street
    Vinohradská Street is a major thoroughfare in Prague, Czech Republic, known for its historic architecture and central location in the Vinohrady district.
  • B. Celetná Street
    Celetná Street is a historic and picturesque thoroughfare in Prague’s Old Town, known for its medieval architecture, shops, and role as part of the traditional Royal Route.
  • C. 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.
  • D. Laurinská Street
    Laurinská Street is a historic pedestrian street in Bratislava’s Old Town, known for its shops, cafés, and proximity to the city’s central landmarks.
  • E. Wolfova Street
    Wolfova Street is a central pedestrian street in Ljubljana, Slovenia, known for its historic architecture and its connection between Prešeren Square and the city’s Old Town.
  • F. None of above. chosen

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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f8f07c8190a1506d4a327369d0 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.