Triple

T18127742
Position Surface form Disambiguated ID Type / Status
Subject Rothenburg (Switzerland) E433923 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Neuenkirch 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: Neuenkirch | Statement: [Rothenburg (Switzerland), neighboringMunicipality, Neuenkirch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuenkirch
Context triple: [Rothenburg (Switzerland), neighboringMunicipality, Neuenkirch]
  • A. Neuenkirch chosen
    Neuenkirch is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and proximity to the city of Lucerne.
  • B. Neuenkirchen
    Neuenkirchen is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location within the Münsterland region.
  • C. Niederkirchen
    Niederkirchen is a municipality in western Germany, known for its rural character and cultural ties to its French twin town, Château-Thierry.
  • D. Weiskirchen
    Weiskirchen is a municipality in the Saarland region of western Germany, known for its scenic natural surroundings and spa facilities.
  • E. Neuenbürg
    Neuenbürg is a small historic town in the northern Black Forest region of Baden-Württemberg, Germany, known for its medieval castle and scenic river valley setting.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddef4cd88190b16ef0d6ed3968c6 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.