Triple

T15505454
Position Surface form Disambiguated ID Type / Status
Subject A46 motorway E379068 entity
Predicate connectsRegion P845 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: [A46 motorway, connectsRegion, Bergisches Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergisches Land
Context triple: [A46 motorway, connectsRegion, 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. Weserbergland
    Weserbergland is a hilly, forested region in central Germany known for its picturesque landscapes along the Weser River and numerous historic towns.
  • C. 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.
  • D. Koblenz region
    The Koblenz region is an area in the German state of Rhineland-Palatinate centered around the city of Koblenz, known for its location at the confluence of the Rhine and Moselle rivers and its historic towns and landscapes.
  • E. Giessenlanden
    Giessenlanden was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcd5d948190b25a67a72ef980e9 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56b9238081908fb2e6a7dcc2296f completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 3:55 a.m.