Triple

T15969085
Position Surface form Disambiguated ID Type / Status
Subject Minden-Ravensberg region E387272 entity
Predicate hasPart P35 FINISHED
Object Ravensberg E1021524 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: Ravensberg | Statement: [Minden-Ravensberg region, hasPart, Ravensberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravensberg
Context triple: [Minden-Ravensberg region, hasPart, Ravensberg]
  • A. Ravensberg chosen
    Ravensberg was a historical county in northwestern Germany that became part of the expanding territorial holdings of Brandenburg-Prussia.
  • B. Batenburg
    Batenburg is a small historic town in the Dutch province of Gelderland, known for its medieval castle ruins and picturesque setting along the river Maas.
  • C. Greifelt
    Greifelt is a German surname most notably associated with Ulrich Greifelt, a high-ranking official in Nazi Germany.
  • D. Dongelberg
    Dongelberg is a village in Wallonia, Belgium, that forms one of the districts of the municipality of Jodoigne in the province of Walloon Brabant.
  • E. Havelterberg
    Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572847f08190830e30125e829766 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1893388190800f013fab415ae7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.