Triple

T5123753
Position Surface form Disambiguated ID Type / Status
Subject Fränkische Rezat E115534 entity
Predicate partOfRiverSystem P1009 FINISHED
Object Rhine E13461 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: Rhine | Statement: [Fränkische Rezat, partOfRiverSystem, Rhine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhine
Context triple: [Fränkische Rezat, partOfRiverSystem, Rhine]
  • A. Rhine chosen
    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.
  • B. High Rhine
    The High Rhine is a stretch of the Rhine River in Central Europe, flowing swiftly between Lake Constance and Basel and forming part of the border between Germany and Switzerland.
  • C. Rhens
    Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
  • D. Lower Rhine
    The Lower Rhine is the downstream section of the Rhine River flowing from roughly Bonn through Germany and the Netherlands to the North Sea, known for its dense population, industry, and historical river landscapes.
  • E. Weser
    The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7805c55c8190bc0540d755dc6242 completed March 20, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7e252c88190be9796ab9bf174c8 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:42 p.m.