Triple

T18240946
Position Surface form Disambiguated ID Type / Status
Subject Bad Kreuznach E436807 entity
Predicate partOf P40 FINISHED
Object Hunsrück region 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: Hunsrück region | Statement: [Bad Kreuznach, partOf, Hunsrück region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunsrück region
Context triple: [Bad Kreuznach, partOf, Hunsrück region]
  • A. Hunsrück chosen
    Hunsrück is a low mountain range in western Germany known for its forested hills, rural landscapes, and traditional villages between the Moselle, Rhine, and Nahe rivers.
  • B. Kaiserslautern region
    The Kaiserslautern region is an area in the German state of Rhineland-Palatinate known for its city of Kaiserslautern, surrounding rural districts, and strong football and military presence.
  • C. Westerwald
    Westerwald is a low mountain range in western Germany known for its forested landscapes, traditional villages, and ceramic and mining heritage.
  • D. Sabine region
    The Sabine region is a historical area of central Italy inhabited by the ancient Sabine people, known for its early interactions and eventual integration with Roman civilization.
  • E. Aachen region
    The Aachen region is a cross-border area centered around the German city of Aachen, known for its historical significance, industry, and integration within the Euroregion Meuse-Rhine.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e287548190b666a990e5b168b0 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.