Triple

T18459710
Position Surface form Disambiguated ID Type / Status
Subject Rheinbach E450998 entity
Predicate hasSubdivision P747 FINISHED
Object Niederdrees 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: Niederdrees | Statement: [Rheinbach, hasSubdivision, Niederdrees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niederdrees
Context triple: [Rheinbach, hasSubdivision, Niederdrees]
  • A. Niederdrees chosen
    Niederdrees is a village-level district of the town of Rheinbach in the Rhein-Sieg-Kreis of North Rhine-Westphalia, Germany.
  • B. Niederau
    Niederau is a municipality in the Free State of Saxony in eastern Germany, known for its rural character and proximity to the historic town of Meissen.
  • C. Niedereimer
    Niedereimer is a district of the city of Arnsberg in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • D. Niederlauer
    Niederlauer is a small municipality in northern Bavaria, Germany, situated in the Franconian Saale valley and known for its rural character within the Rhön region.
  • E. Nied
    Nied is a district of Frankfurt am Main in Germany, located along the River Main and known for its mix of residential areas and green spaces.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7cdb5c8190a399f0e4052f7d1f completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:33 a.m.