Triple

T18347405
Position Surface form Disambiguated ID Type / Status
Subject Claudio Magris E439576 entity
Predicate notableWork P4 FINISHED
Object On the Danube 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: On the Danube | Statement: [Claudio Magris, notableWork, On the Danube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On the Danube
Context triple: [Claudio Magris, notableWork, On the Danube]
  • A. Dellach im Drautal
    Dellach im Drautal is a small Austrian municipality in the state of Carinthia, situated in the Drau Valley and known for its alpine scenery and outdoor recreation.
  • B. Saal an der Donau chosen
    Saal an der Donau is a Bavarian municipality situated on the Danube River in the Kelheim district of southern Germany.
  • C. Mezi proudy
    Mezi proudy is a historical novel by Czech writer Alois Jirásek that portrays the turbulent period of the Hussite movement in Bohemia.
  • D. Florence on the Elbe
    Florence on the Elbe is a poetic nickname for Dresden, highlighting its rich artistic heritage, baroque architecture, and picturesque setting along the Elbe River.
  • E. Die Brücke vom Goldenen Horn
    Die Brücke vom Goldenen Horn is a semi-autobiographical novel by Emine Sevgi Özdamar that portrays a young Turkish woman's experiences as a migrant worker and intellectual in 1960s Germany and Turkey.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f594f88190a683e6224e091593 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.