Triple

T4245041
Position Surface form Disambiguated ID Type / Status
Subject Wrocław Zoo E95507 entity
Predicate alsoKnownAs P39 FINISHED
Object Zoo Wrocław E95507 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 Wrocław | Statement: [Wrocław Zoo, alsoKnownAs, Zoo Wrocław]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoo Wrocław
Context triple: [Wrocław Zoo, alsoKnownAs, Zoo Wrocław]
  • 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. 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. Brno Zoo
    Brno Zoo is a zoological garden in Brno, Czech Republic, known for its diverse animal collection, conservation programs, and educational exhibits.
  • D. Nuremberg Zoo
    Nuremberg Zoo is a major zoological garden in Nuremberg, Germany, known for its spacious, naturalistic enclosures and diverse collection of animal species.
  • E. Schönbrunn Zoo
    Schönbrunn Zoo is a historic zoological garden in Vienna, Austria, renowned as one of the world’s oldest continuously operating zoos and a major attraction within the Schönbrunn Palace grounds.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8c42e88190b309a1ef7f6529ac completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77ce4d48190ba24e3ef8c9ceb8d completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:05 p.m.