Triple

T21753936
Position Surface form Disambiguated ID Type / Status
Subject Wilhering E536985 entity
Predicate locatedOn P40 FINISHED
Object Danube River 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: Danube River | Statement: [Wilhering, locatedOn, Danube River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danube River
Context triple: [Wilhering, locatedOn, Danube River]
  • A. Danube chosen
    The Danube is one of Europe's longest and most historically significant rivers, flowing from Germany to the Black Sea and passing through numerous Central and Eastern European countries.
  • B. Little Danube
    The Little Danube is a distributary of the Danube River in western Slovakia, known for its meandering course, floodplain forests, and popular recreational waterways.
  • C. The Red Danube
    The Red Danube is a 1949 drama film set in post-World War II Vienna that explores Cold War tensions and moral dilemmas surrounding Soviet repatriation policies.
  • D. Donauquelle
    Donauquelle is the spring in Donaueschingen, Germany traditionally regarded as the source of the Danube River.
  • E. Draga River
    The Draga River is a mountain river in northern Montenegro that flows through the rugged landscapes of Durmitor National Park, contributing to its dramatic canyons and alpine scenery.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8c57508190b45fb974ef0ded10 completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.