Triple

T10326298
Position Surface form Disambiguated ID Type / Status
Subject Oldenzaal E242770 entity
Predicate locatedNear P294 FINISHED
Object German town of Bad Bentheim E366654 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: German town of Bad Bentheim | Statement: [Oldenzaal, locatedNear, German town of Bad Bentheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: German town of Bad Bentheim
Context triple: [Oldenzaal, locatedNear, German town of Bad Bentheim]
  • A. Township of Osnabruck
    The Township of Osnabruck was a former municipality in eastern Ontario, Canada, that later became part of the Township of South Stormont through amalgamation.
  • B. Stadt Ahaus
    Stadt Ahaus is a town in the district of Borken in North Rhine-Westphalia, Germany, known for its historic castle and proximity to the Dutch border.
  • C. Bentheim chosen
    Bentheim is a historical county in Lower Saxony, Germany, known for its Reformed Protestant heritage and the former County of Bentheim.
  • D. Meppen
    Meppen is a historic town in Lower Saxony, Germany, known as a regional center in the Emsland district near the Dutch border.
  • E. Dülmen
    Dülmen is a town in western Germany’s North Rhine-Westphalia, known for its location between Münster and the Ruhr area and for the wild Dülmen ponies in the nearby nature reserve.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cd76348190b93562112300acfc completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da93b988190ad568b0677b5d344 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:51 a.m.