Triple

T4342506
Position Surface form Disambiguated ID Type / Status
Subject Roth E97815 entity
Predicate locatedOnRiver P165 FINISHED
Object Rednitz E19589 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: Rednitz | Statement: [Roth, locatedOnRiver, Rednitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rednitz
Context triple: [Roth, locatedOnRiver, Rednitz]
  • A. Rednitz chosen
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • B. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • C. Hoornaar
    Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
  • D. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • E. Gantenbein
    Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351878c148190b384053479d41caf completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba2b49c81909b7bf87672d71611 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:14 p.m.