Triple

T14266075
Position Surface form Disambiguated ID Type / Status
Subject Wedding district E353646 entity
Predicate contains P35 FINISHED
Object Schillerpark E354424 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: Schillerpark | Statement: [Wedding district, contains, Schillerpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schillerpark
Context triple: [Wedding district, contains, Schillerpark]
  • A. Schillerpark chosen
    Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
  • B. Doblhoffpark
    Doblhoffpark is a historic public park in Baden bei Wien, Austria, known for its extensive rose gardens, scenic ponds, and tranquil walking paths.
  • C. Karlsaue Park
    Karlsaue Park is a historic baroque landscape park in Kassel, Germany, known for its formal gardens, expansive meadows, and integration of art and architecture.
  • D. Stadtpark
    Stadtpark is a large, historic public park in central Vienna, Austria, known for its landscaped gardens and famous monuments such as the Johann Strauss II statue.
  • E. Görlitzer Park
    Görlitzer Park is a large, historically significant urban green space in Berlin’s Kreuzberg district, known for its diverse social scene and cultural events.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d16bae881909b38ccf04f1cf823 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:09 a.m.