Triple

T7639555
Position Surface form Disambiguated ID Type / Status
Subject Ostrava Zoo E172964 entity
Predicate hasNameInCzech P17790 FINISHED
Object Zoologická zahrada Ostrava E172964 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: Zoologická zahrada Ostrava | Statement: [Ostrava Zoo, hasNameInCzech, Zoologická zahrada Ostrava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoologická zahrada Ostrava
Context triple: [Ostrava Zoo, hasNameInCzech, Zoologická zahrada Ostrava]
  • A. Ostrava Zoo chosen
    Ostrava Zoo is a zoological garden in Ostrava, Czech Republic, known for its extensive collection of animal species and large naturalistic enclosures.
  • B. Plzeň Zoo
    Plzeň Zoo is a major zoological garden in the Czech city of Plzeň, known for its diverse animal collection and role in conservation and education.
  • C. Brno Zoo
    Brno Zoo is a zoological garden in Brno, Czech Republic, known for its diverse animal collection, conservation programs, and educational exhibits.
  • D. Prague Zoo
    Prague Zoo is a major zoological garden in Prague renowned for its extensive animal collections, conservation programs, and scenic location along the Vltava River.
  • E. Košice Zoo
    Košice Zoo is a major zoological garden in Košice, Slovakia, known for its large natural enclosures and diverse collection of animal species.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facc4b5481908697e662b0991e3f completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870cd11648190b9aeedadb7bc1981 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:57 p.m.