Triple

T16907159
Position Surface form Disambiguated ID Type / Status
Subject Berlin Zoological Garden E424591 entity
Predicate shortName P43 FINISHED
Object Zoo Berlin E424591 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: Zoo Berlin | Statement: [Berlin Zoological Garden, shortName, Zoo Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoo Berlin
Context triple: [Berlin Zoological Garden, shortName, Zoo Berlin]
  • A. Frankfurt Zoo
    Frankfurt Zoo is one of Germany’s oldest and most renowned zoological gardens, located in Frankfurt am Main and known for its diverse animal collection and conservation work.
  • B. Berlin Zoological Garden chosen
    The Berlin Zoological Garden is Germany’s oldest and most visited zoo, renowned for its extensive collection of species and historic location in central Berlin.
  • C. Nuremberg Zoo
    Nuremberg Zoo is a major zoological garden in Nuremberg, Germany, known for its spacious, naturalistic enclosures and diverse collection of animal species.
  • D. Hanover Zoo
    Hanover Zoo is a major zoological garden in Hanover, Germany, known for its themed animal habitats and immersive visitor experiences.
  • E. Tierpark Berlin zoo
    Tierpark Berlin zoo is one of Europe’s largest zoological gardens, located in Berlin’s Friedrichsfelde district and known for its expansive parkland and diverse animal collection.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca39f9b08190b15106c6caf895ec completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d458902481908f79cd5a9f72f7fd completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:30 a.m.