Triple

T5748048
Position Surface form Disambiguated ID Type / Status
Subject Košice E126780 entity
Predicate hasLandmark P105 FINISHED
Object Košice Zoo E241933 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: Košice Zoo | Statement: [Košice, hasLandmark, Košice Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Košice Zoo
Context triple: [Košice, hasLandmark, Košice Zoo]
  • A. Košice Zoo chosen
    Košice Zoo is a major zoological garden in Košice, Slovakia, known for its large natural enclosures and diverse collection of animal species.
  • B. Ostrava Zoo
    Ostrava Zoo is a zoological garden in Ostrava, Czech Republic, known for its extensive collection of animal species and large naturalistic enclosures.
  • C. Miskolc Zoo
    Miskolc Zoo is a zoological park in Miskolc, Hungary, featuring a variety of animal species and serving as a popular recreational and educational attraction in the region.
  • D. Brno Zoo
    Brno Zoo is a zoological garden in Brno, Czech Republic, known for its diverse animal collection, conservation programs, and educational exhibits.
  • E. 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.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02887496c8190b1b9c8dda0d561ef completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e30fe98819096ad6e09fbd463b5 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.