Triple

T19661589
Position Surface form Disambiguated ID Type / Status
Subject Schottenring E472093 entity
Predicate namedAfter P63 FINISHED
Object Schottenstift 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: Schottenstift | Statement: [Schottenring, namedAfter, Schottenstift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schottenstift
Context triple: [Schottenring, namedAfter, Schottenstift]
  • A. Schottenstift chosen
    Schottenstift is a historic Benedictine monastery and church complex in Vienna, Austria, known for its medieval origins and significant cultural and architectural heritage.
  • B. Schottenkapelle
    Schottenkapelle is a chapel associated with Vienna’s historic Schottenstift (Scottish Abbey), known for its religious significance and architectural heritage.
  • C. The Schott
    The Schott is the popular nickname for Value City Arena, the primary indoor sports and entertainment venue at Ohio State University in Columbus, Ohio.
  • D. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • E. Bocksbeutel
    Bocksbeutel is a distinctive flattened, round wine bottle shape traditionally associated with high-quality wines from Germany’s Franconia (Franken) region.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6414a667c81909aad04a737773c7e completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.