Triple

T17136827
Position Surface form Disambiguated ID Type / Status
Subject Muzeum station E415859 entity
Predicate hasExitTo P29827 FINISHED
Object Vinohradská Street E1192865 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: Vinohradská Street | Statement: [Muzeum station, hasExitTo, Vinohradská Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinohradská Street
Context triple: [Muzeum station, hasExitTo, Vinohradská Street]
  • A. Vinohradská Street chosen
    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. 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.
  • D. Stodolní Street
    Stodolní Street is a famous entertainment district in Ostrava, Czech Republic, known for its dense concentration of bars, clubs, and nightlife venues.
  • E. Široká Street
    Široká Street is a historic thoroughfare in Prague’s former Jewish Quarter, known for its proximity to major synagogues and Jewish heritage sites.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2cf1c588190986167adcf4851b5 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014152da008190bbbff4147cfd8c5b completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.