Triple

T12747960
Position Surface form Disambiguated ID Type / Status
Subject Café Sacher E304654 entity
Predicate serves P98 FINISHED
Object Sachertorte E56797 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: Sachertorte | Statement: [Café Sacher, serves, Sachertorte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sachertorte
Context triple: [Café Sacher, serves, Sachertorte]
  • A. Sachertorte chosen
    Sachertorte is a rich Austrian chocolate cake, traditionally layered with apricot jam and covered in dark chocolate glaze, closely associated with Viennese café culture.
  • B. Black Forest cake
    Black Forest cake is a classic German dessert made with layers of chocolate sponge, whipped cream, and cherries, often flavored with kirsch and decorated with chocolate shavings.
  • C. Strudel
    Strudel is a traditional Central European pastry made from thinly rolled dough filled with sweet or savory ingredients, most famously apple.
  • D. Nuremberg gingerbread
    Nuremberg gingerbread is a traditional German spiced cookie, often nut-based and glazed or chocolate-coated, famously produced in the city of Nuremberg and especially associated with Christmas.
  • E. Tortenstück
    Tortenstück is the popular nickname for Frankfurt’s Museum für Moderne Kunst, known for its distinctive triangular, cake-slice-shaped architecture.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd58d30819082af4edb4cd0b4ab completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684ee2ab4819099194d115d2e5a15 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:27 p.m.