Triple

T19542809
Position Surface form Disambiguated ID Type / Status
Subject Bratislava II District E488950 entity
Predicate contains P35 FINISHED
Object Ostredky 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: Ostredky | Statement: [Bratislava II District, contains, Ostredky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostredky
Context triple: [Bratislava II District, contains, Ostredky]
  • A. Ostredky chosen
    Ostredky is a residential neighborhood within the Ružinov borough of Bratislava, Slovakia.
  • B. Ostredok
    Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
  • C. Řepy
    Řepy is a residential district in the western part of Prague, Czech Republic, known for its large housing estates and proximity to major transport routes.
  • D. Poucet
    Poucet is a village in the municipality of Hannut in the province of Liège, Belgium.
  • E. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6387442588190a2cdae60a6a940d6 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.