Triple

T2930855
Position Surface form Disambiguated ID Type / Status
Subject Ronsdorf E78956 entity
Predicate locatedInRegion P40 FINISHED
Object Bergisches Land E300838 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: Bergisches Land | Statement: [Ronsdorf, locatedInRegion, Bergisches Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergisches Land
Context triple: [Ronsdorf, locatedInRegion, Bergisches Land]
  • A. Bergisches Land chosen
    Bergisches Land is a hilly, forested region in western Germany, east of the Rhine, known for its river valleys, reservoirs, and historic industrial towns.
  • B. Wendland region
    The Wendland region is a rural area in the eastern part of Lower Saxony, Germany, known for its historic Rundling (circular) villages and strong environmental and anti-nuclear activism.
  • C. Münsterland
    Münsterland is a rural region in northwestern Germany known for its historic castles, cycling routes, and traditional Westphalian culture.
  • D. Rhein-Sieg-Kreis
    Rhein-Sieg-Kreis is a district in the German state of North Rhine-Westphalia, situated along the Rhine River and surrounding the city of Bonn.
  • E. Monschau region
    The Monschau region is a scenic area in western Germany near the Belgian border, known for its historic town of Monschau, half-timbered houses, and picturesque Eifel landscapes.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad980191388190ac2455a7d9867be3 completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b086703868819083eacc3fe392fde1 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:55 p.m.