Triple

T4485416
Position Surface form Disambiguated ID Type / Status
Subject Zenn E107224 entity
Predicate tributaryOf P415 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: [Zenn, tributaryOf, Rednitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rednitz
Context triple: [Zenn, tributaryOf, 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. Schwerteck
    Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52a758f48190b6b59ca0d9207c2a completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb901d6448190a2c89c0e1e9fbb9d completed March 20, 2026, 9:15 p.m.
Created at: March 20, 2026, 12:59 p.m.