Triple

T8185778
Position Surface form Disambiguated ID Type / Status
Subject Rhin E191177 entity
Predicate hasName P744 FINISHED
Object Rhin E191177 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: Rhin | Statement: [Rhin, hasName, Rhin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhin
Context triple: [Rhin, hasName, Rhin]
  • A. Rhin
    Rhin is the French name for the Rhine, one of Europe’s major rivers flowing through countries such as Switzerland, Germany, and the Netherlands.
  • B. Rhin chosen
    The Rhin is a small river in northeastern Germany that flows through Brandenburg and serves as a tributary within the Havel river system.
  • C. Rheinau
    Rheinau is a district of Mannheim in the German state of Baden-Württemberg, known for its residential areas and proximity to the Rhine.
  • D. Rheinbund
    The Rheinbund, or Confederation of the Rhine, was a coalition of German states organized under the influence of Napoleon in the early 19th century that effectively ended the Holy Roman Empire and served as a French client confederation.
  • E. Nahe
    Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c52407c8190bd366fce6d4e02cd completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced7a109c819092d43d9e3cfc0706 completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:41 p.m.