Triple

T19146948
Position Surface form Disambiguated ID Type / Status
Subject Universitätsring E468703 entity
Predicate runsPast P15632 FINISHED
Object Rathauspark NE NERFINISHED

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: Rathauspark | Statement: [Universitätsring, runsPast, Rathauspark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rathauspark
Context triple: [Universitätsring, runsPast, Rathauspark]
  • A. Rathauspark chosen
    Rathauspark is a central Vienna public park known for its green spaces, seasonal events, and its location in front of the historic City Hall.
  • B. 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.
  • C. Doblhoffpark
    Doblhoffpark is a historic public park in Baden bei Wien, Austria, known for its extensive rose gardens, scenic ponds, and tranquil walking paths.
  • D. Schillerpark
    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.
  • 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 (2 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97a79a48190b243553023bf9081 completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.