Triple

T7766012
Position Surface form Disambiguated ID Type / Status
Subject Rheinbach E176146 entity
Predicate hasSubdivision P747 FINISHED
Object Queckenberg
Queckenberg is a small district or locality that forms part of the town of Rheinbach in the German state of North Rhine-Westphalia.
E687177 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: Queckenberg | Statement: [Rheinbach, hasSubdivision, Queckenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queckenberg
Context triple: [Rheinbach, hasSubdivision, Queckenberg]
  • A. Weisselberg
    Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
  • B. Kleeberg
    Kleeberg is a Polish surname most notably associated with General Franciszek Kleeberg, a commander in the early stages of World War II.
  • C. Kreutzwald
    Kreutzwald is the surname of Friedrich Reinhold Kreutzwald, a prominent 19th-century Estonian writer and key figure in the Estonian national awakening.
  • D. Oberdrees
    Oberdrees is a village-level district of the town of Rheinbach in the Rhein-Sieg-Kreis of North Rhine-Westphalia, Germany.
  • E. Vechigen
    Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
  • 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: Queckenberg
Triple: [Rheinbach, hasSubdivision, Queckenberg]
Generated description
Queckenberg is a small district or locality that forms part of the town of Rheinbach in the German state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Queckenberg
Target entity description: Queckenberg is a small district or locality that forms part of the town of Rheinbach in the German state of North Rhine-Westphalia.
  • A. Weisselberg
    Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
  • B. Kleeberg
    Kleeberg is a Polish surname most notably associated with General Franciszek Kleeberg, a commander in the early stages of World War II.
  • C. Kreutzwald
    Kreutzwald is the surname of Friedrich Reinhold Kreutzwald, a prominent 19th-century Estonian writer and key figure in the Estonian national awakening.
  • D. Oberdrees chosen
    Oberdrees is a village-level district of the town of Rheinbach in the Rhein-Sieg-Kreis of North Rhine-Westphalia, Germany.
  • E. Vechigen
    Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
  • F. None of above.

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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7043279748190b30882e9cc6cca54 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6d0f1988190b4df650bebb61fd3 completed March 29, 2026, 7:37 a.m.
NEDg Description generation batch_69c8d7e5d7c48190976ca9ed6b638d94 completed March 29, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_69c8d85575a881908fcbb3a97884eb2c completed March 29, 2026, 7:44 a.m.
Created at: March 27, 2026, 4:09 p.m.