Triple

T18853829
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Bridge E461118 entity
Predicate crosses P416 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: [Elizabeth Bridge, crosses, Danube River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danube River
Context triple: [Elizabeth Bridge, crosses, 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. 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.
  • C. Donauquelle
    Donauquelle is the spring in Donaueschingen, Germany traditionally regarded as the source of the Danube River.
  • D. 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.
  • E. Elbe
    The Elbe is one of Central Europe's major rivers, flowing from the Czech Republic through Germany to the North Sea and serving as an important waterway for transport, industry, and agriculture.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05b4d8881909af0238f451b0e31 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:56 a.m.