Triple

T3002728
Position Surface form Disambiguated ID Type / Status
Subject Rijn E81826 entity
Predicate hasPart P35 FINISHED
Object Niederrhein E360139 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: Niederrhein | Statement: [Rijn, hasPart, Niederrhein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niederrhein
Context triple: [Rijn, hasPart, Niederrhein]
  • A. North Rhine
    North Rhine is a historical region in western Germany that forms part of the larger Rhineland area along the Rhine River.
  • B. Mittelrhein
    Mittelrhein is a scenic section of Germany’s Middle Rhine Valley, renowned for its steep vineyards, medieval castles, and picturesque riverside towns.
  • C. Lower Rhine chosen
    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.
  • D. Lippe
    Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
  • E. Lippe
    The Lippe is a river in western Germany that flows through North Rhine-Westphalia and is a right-bank tributary of the Rhine.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1371c481909e214234afed1a65 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c16c05481908f451b492ca9f47f completed March 14, 2026, 11:52 a.m.
Created at: March 8, 2026, 2:59 p.m.