Triple

T15077389
Position Surface form Disambiguated ID Type / Status
Subject Bückeburg E380040 entity
Predicate locatedNear P294 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: [Bückeburg, locatedNear, Weser River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weser River
Context triple: [Bückeburg, locatedNear, 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. river Bode
    The river Bode is a watercourse in the Harz Mountains of central Germany, known for its scenic valleys, gorges, and role in regional tourism and hydropower.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fe5a208190823900b25e298dab completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbb7b1e48190b55c40e0cb837446 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 3:03 a.m.