Triple

T21457765
Position Surface form Disambiguated ID Type / Status
Subject Wahlkreis Rheintal E529385 entity
Predicate river P165 FINISHED
Object Rhein NE NERFINISHED

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: Rhein | Statement: [Wahlkreis Rheintal, river, Rhein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhein
Context triple: [Wahlkreis Rheintal, river, Rhein]
  • 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. 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.
  • C. Averser Rhein
    Averser Rhein is a mountain river in the Swiss canton of Graubünden that flows through the remote Avers valley and contributes to the headwaters of the Rhine system.
  • D. RHINE
    RHINE is a pivotal phase III clinical trial evaluating faricimab for the treatment of diabetic macular edema.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9ec254081909a703056022f4f45 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:08 p.m.