Triple

T10745973
Position Surface form Disambiguated ID Type / Status
Subject Siebengebirge region E253449 entity
Predicate highestPoint P210 FINISHED
Object Ölberg E883900 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: Ölberg | Statement: [Siebengebirge region, highestPoint, Ölberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ölberg
Context triple: [Siebengebirge region, highestPoint, Ölberg]
  • A. Ölberg chosen
    Ölberg is the highest and one of the most prominent hills in Germany’s Siebengebirge range, known for its scenic views over the Rhine Valley.
  • B. Todtnau
    Todtnau is a small town in Germany’s Black Forest region, known for its mountainous scenery, outdoor recreation, and proximity to the Feldberg peak.
  • C. Heilsberg
    Heilsberg is a historic town in northeastern Poland, known today as Lidzbark Warmiński, that was the site of significant medieval and Napoleonic-era military engagements.
  • D. Wirsberg
    Wirsberg is a small market town in the Upper Franconia region of Bavaria, Germany, known for its scenic location in the Franconian Forest and its historic architecture.
  • E. Voitsberg
    Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b77c4881909d16c6e82a9b86ca completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84a63de0819085f1e982c8348811 completed April 14, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:15 p.m.