Triple

T17053032
Position Surface form Disambiguated ID Type / Status
Subject Losser E413748 entity
Predicate locatedNear P294 FINISHED
Object Gronau (Westf.) E151149 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: Gronau (Westf.) | Statement: [Losser, locatedNear, Gronau (Westf.)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gronau (Westf.)
Context triple: [Losser, locatedNear, Gronau (Westf.)]
  • A. Gronau (Westf) chosen
    Gronau (Westf) is a town in North Rhine-Westphalia, Germany, near the Dutch border, known for its textile industry history and as the birthplace of rock musician Udo Lindenberg.
  • B. Gronau (Leine)
    Gronau (Leine) is a small town in Lower Saxony, Germany, situated on the River Leine and known for its historical architecture and rural surroundings.
  • C. Gronau
    Gronau is a town in Germany historically noted as the site of a battle during the Seven Years' War.
  • D. Göhren
    Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
  • E. Gummersbach
    Gummersbach is a town in North Rhine-Westphalia, Germany, known as a regional center in the Bergisches Land and a location for higher education and industry.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa491008190ad013ee37532aa51 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012343eca0819086a07511c5d22878 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.