Triple

T16403808
Position Surface form Disambiguated ID Type / Status
Subject Altstadt (old town) of Nuremberg E398371 entity
Predicate dividedBy P10893 FINISHED
Object Pegnitz River 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: Pegnitz River | Statement: [Altstadt (old town) of Nuremberg, dividedBy, Pegnitz River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pegnitz River
Context triple: [Altstadt (old town) of Nuremberg, dividedBy, Pegnitz River]
  • A. Pegnitz River chosen
    The Pegnitz River is a river in the German state of Bavaria that flows through the city of Nuremberg and joins the Rednitz to form the Regnitz.
  • B. Lusatian Neisse River
    The Lusatian Neisse River is a Central European river that forms part of the border between Germany and Poland before joining the Oder River.
  • C. Gera River
    The Gera River is a waterway in central Germany that flows through the city of Erfurt in the state of Thuringia.
  • D. Unstrut River
    The Unstrut River is a tributary of the Saale in central Germany, flowing through Thuringia and Saxony-Anhalt and known for its scenic valleys, vineyards, and historic towns.
  • E. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d12dc08190a5b497692b667ed7 completed April 18, 2026, 6:42 a.m.
Created at: April 10, 2026, 5:09 a.m.