Triple

T7302937
Position Surface form Disambiguated ID Type / Status
Subject Wachtberg E167902 entity
Predicate adjacentTo P224 FINISHED
Object Meckenheim
Meckenheim is a town in the Rhein-Sieg district of North Rhine-Westphalia, Germany, known for its fruit cultivation and proximity to Bonn.
 E705768 NE FINISHED

How this triple was built (4 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: Meckenheim | Statement: [Wachtberg, adjacentTo, Meckenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meckenheim
Context triple: [Wachtberg, adjacentTo, Meckenheim]
  • A. Gescher
    Gescher is a small town in western Germany’s Münsterland region, noted for its traditional bell foundries and rural character.
  • B. Schlettstadt
    Schlettstadt, now known as Sélestat, is a historic town in the Alsace region of northeastern France noted for its medieval architecture and humanist heritage.
  • C. Kleve
    Kleve is a historic town in western Germany near the Dutch border, known for its medieval castle and role as the former capital of the Duchy of Cleves.
  • D. Heppenheim
    Heppenheim is a historic town in southwestern Germany, known for its picturesque old town, vineyards, and location on the Bergstraße at the edge of the Odenwald.
  • E. Hürth
    Hürth is a town in North Rhine-Westphalia, Germany, best known internationally as the birthplace of Formula One legend Michael Schumacher.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Meckenheim
Triple: [Wachtberg, adjacentTo, Meckenheim]
Generated description
Meckenheim is a town in the Rhein-Sieg district of North Rhine-Westphalia, Germany, known for its fruit cultivation and proximity to Bonn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meckenheim
Target entity description: Meckenheim is a town in the Rhein-Sieg district of North Rhine-Westphalia, Germany, known for its fruit cultivation and proximity to Bonn.
  • A. Gescher
    Gescher is a small town in western Germany’s Münsterland region, noted for its traditional bell foundries and rural character.
  • B. Schlettstadt
    Schlettstadt, now known as Sélestat, is a historic town in the Alsace region of northeastern France noted for its medieval architecture and humanist heritage.
  • C. Kleve
    Kleve is a historic town in western Germany near the Dutch border, known for its medieval castle and role as the former capital of the Duchy of Cleves.
  • D. Heppenheim
    Heppenheim is a historic town in southwestern Germany, known for its picturesque old town, vineyards, and location on the Bergstraße at the edge of the Odenwald.
  • E. Hürth
    Hürth is a town in North Rhine-Westphalia, Germany, best known internationally as the birthplace of Formula One legend Michael Schumacher.
  • F. None of above. chosen

Provenance (5 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb2261c8190ae9095c8e110b528 completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc55bdf8c0819083b61987d70f21ca completed March 31, 2026, 11:16 p.m.
NEDg Description generation batch_69cc5822581481908a143376bee599ec completed March 31, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69cc58f549388190ba6c8b41c0820cd6 completed March 31, 2026, 11:29 p.m.
Created at: March 27, 2026, 3:01 p.m.