Triple

T8600821
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Biberach E203668 entity
Predicate locatedOnRiver P165 FINISHED
Object Donau E12683 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: Donau | Statement: [Landkreis Biberach, locatedOnRiver, Donau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donau
Context triple: [Landkreis Biberach, locatedOnRiver, Donau]
  • 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. Alte Donau
    Alte Donau is a former branch of the Danube River in Vienna that now serves as a popular recreational lake for swimming, boating, and waterside leisure.
  • C. Tisza
    The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
  • D. 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.
  • E. Traisen
    Traisen is a river in northeastern Austria that flows through Lower Austria before joining the Danube.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef33f0aa0819091e101f822c53c0f completed April 2, 2026, 10:52 p.m.
Created at: March 30, 2026, 6:24 p.m.