Triple

T6937498
Position Surface form Disambiguated ID Type / Status
Subject Ban Jelačić Square E160588 entity
Predicate connectsWith P37 FINISHED
Object Praška Street E635702 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: Praška Street | Statement: [Ban Jelačić Square, connectsWith, Praška Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praška Street
Context triple: [Ban Jelačić Square, connectsWith, Praška Street]
  • A. Stodolní Street
    Stodolní Street is a famous entertainment district in Ostrava, Czech Republic, known for its dense concentration of bars, clubs, and nightlife venues.
  • B. Gajeva Street chosen
    Gajeva Street is a central street in Zagreb, Croatia, known for linking the main Ban Jelačić Square with other key parts of the city’s downtown area.
  • C. Gospodska Street
    Gospodska Street is a central pedestrian and shopping street in Banja Luka, known for its historic architecture, cafes, and vibrant urban life.
  • D. Nemanjina Street
    Nemanjina Street is a major central thoroughfare in Belgrade, Serbia, known for its important government buildings and institutions.
  • E. Sarajevska Street
    Sarajevska Street is a notable urban street in Belgrade, Serbia, situated in the central municipality of Savski Venac and known for its mixed residential and commercial character.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da606328819095eb852f7a0842dc completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7753a62248190873c9e528fa9dc46 completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:28 p.m.