Triple

T7780922
Position Surface form Disambiguated ID Type / Status
Subject Nienburg E221513 entity
Predicate locatedOnRiver P165 FINISHED
Object Weser River E33257 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: Weser River | Statement: [Nienburg, locatedOnRiver, Weser River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weser River
Context triple: [Nienburg, locatedOnRiver, Weser River]
  • A. Weser chosen
    The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
  • B. Rheine
    Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
  • C. Rhine
    The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
  • 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. Werra
    The Werra is a major river in central Germany that forms one of the two headstreams of the Weser.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d6cf9881909f5220437db13cc7 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5c1f20c81908ae2fc35550b91b5 completed March 30, 2026, 10:14 p.m.
Created at: March 30, 2026, 4:20 p.m.