Triple

T21838898
Position Surface form Disambiguated ID Type / Status
Subject Heisterbacher Tor E539197 entity
Predicate locatedIn P40 FINISHED
Object Rhein-Sieg region NE NERFINISHED

How this triple was built (3 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: Rhein-Sieg region | Statement: [Heisterbacher Tor, locatedIn, Rhein-Sieg region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhein-Sieg region
Context triple: [Heisterbacher Tor, locatedIn, Rhein-Sieg region]
  • A. Rhein-Ahr region
    The Rhein-Ahr region is an area in western Germany along the Rhine and Ahr rivers, known for its wine-growing landscapes, small towns, and regional educational and economic activities.
  • B. 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.
  • C. Bergisches Land
    Bergisches Land is a hilly, forested region in western Germany, east of the Rhine, known for its river valleys, reservoirs, and historic industrial towns.
  • D. 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.
  • E. Rhine-Weser region
    The Rhine-Weser region is a historical area in western Germany associated with the early homeland and formation of the Frankish people.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rhein-Sieg region
Target entity description: The Rhein-Sieg region is a district in the German state of North Rhine-Westphalia that surrounds the city of Bonn and encompasses a mix of urban centers, historic towns, and rural landscapes along the Rhine and Sieg rivers.
  • A. Rhein-Ahr region
    The Rhein-Ahr region is an area in western Germany along the Rhine and Ahr rivers, known for its wine-growing landscapes, small towns, and regional educational and economic activities.
  • B. 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.
  • C. Bergisches Land
    Bergisches Land is a hilly, forested region in western Germany, east of the Rhine, known for its river valleys, reservoirs, and historic industrial towns.
  • D. 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.
  • E. Rhine-Weser region
    The Rhine-Weser region is a historical area in western Germany associated with the early homeland and formation of the Frankish people.
  • F. None of above. chosen

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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a9a36881909eb917f12d061ba9 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.