Triple

T6193660
Position Surface form Disambiguated ID Type / Status
Subject Kristiansand E138455 entity
Predicate knownFor P22 FINISHED
Object Kristiansand Zoo E576226 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: Kristiansand Zoo | Statement: [Kristiansand, knownFor, Kristiansand Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristiansand Zoo
Context triple: [Kristiansand, knownFor, Kristiansand Zoo]
  • A. Kristiansand Zoo and Amusement Park chosen
    Kristiansand Zoo and Amusement Park is one of Norway’s largest and most popular family attractions, combining a diverse animal park with themed rides and entertainment areas.
  • B. Odense Zoo
    Odense Zoo is a popular Danish zoological garden in the city of Odense, known for its diverse animal collections and family-friendly exhibits.
  • C. Hunderfossen Family Park
    Hunderfossen Family Park is a popular Norwegian amusement park near Lillehammer known for its fairy-tale theme, family-friendly rides, and attractions inspired by Norwegian folklore.
  • D. Tallinn Zoo
    Tallinn Zoo is a major zoological park in Tallinn, Estonia, known for its diverse collection of animal species and active conservation and education programs.
  • 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 (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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062431ae88190a1bf6ca91f3dc690 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d8e4b308190b855cb04c9cfefeb completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:19 p.m.