Triple

T1594203
Position Surface form Disambiguated ID Type / Status
Subject Spree E34242 entity
Predicate partOf P40 FINISHED
Object Elbe river basin E16410 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: Elbe river basin | Statement: [Spree, partOf, Elbe river basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elbe river basin
Context triple: [Spree, partOf, Elbe river basin]
  • A. Elbe chosen
    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.
  • B. Ruhr
    The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
  • C. Oder River
    The Oder River is a major Central European river that flows through the Czech Republic, Poland, and along the Polish–German border before emptying into the Baltic Sea.
  • D. Saale
    The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
  • E. Vogtland
    Vogtland is a hilly, historically rich region in central Europe spanning parts of Saxony, Thuringia, Bavaria, and the Czech Republic, known for its musical instrument making and scenic landscapes.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092aed308190a0198a0fb977a9e5 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfb90e16081908d70df182b7efb8a completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:27 p.m.