Triple

T18025551
Position Surface form Disambiguated ID Type / Status
Subject Śródmieście, Wrocław E431238 entity
Predicate hasCulturalSite P1098 FINISHED
Object Wrocław Zoo 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: Wrocław Zoo | Statement: [Śródmieście, Wrocław, hasCulturalSite, Wrocław Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wrocław Zoo
Context triple: [Śródmieście, Wrocław, hasCulturalSite, Wrocław Zoo]
  • A. Wrocław Zoo chosen
    Wrocław Zoo is one of Poland’s oldest and largest zoological gardens, renowned for its extensive animal collection and the Africarium oceanarium complex.
  • B. Poznań Zoo
    Poznań Zoo is a major zoological garden in Poznań, Poland, known for its diverse collection of animal species and expansive natural enclosures.
  • C. Silesian Zoological Garden
    The Silesian Zoological Garden is a large zoo and recreational park in the Silesian region of Poland, known for its diverse animal collection and educational exhibits.
  • D. Warsaw Zoo
    Warsaw Zoo is a major zoological garden in Warsaw, Poland, known for its diverse animal collection and role in wildlife conservation and education.
  • E. Ostrava Zoo
    Ostrava Zoo is a zoological garden in Ostrava, Czech Republic, known for its extensive collection of animal species and large naturalistic enclosures.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c554348190bd0df06d0cfe188e completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.