Triple

T6155494
Position Surface form Disambiguated ID Type / Status
Subject Bad Godesberg E137309 entity
Predicate hasSubdistrict P747 FINISHED
Object Muffendorf
Muffendorf is a historic, village-like residential quarter in the Bonn district of Bad Godesberg, known for its traditional half-timbered houses and picturesque setting.
 E573381 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: Muffendorf | Statement: [Bad Godesberg, hasSubdistrict, Muffendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muffendorf
Context triple: [Bad Godesberg, hasSubdistrict, Muffendorf]
  • A. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • B. Dietl
    Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
  • C. Sonnemann
    Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • 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: Muffendorf
Triple: [Bad Godesberg, hasSubdistrict, Muffendorf]
Generated description
Muffendorf is a historic, village-like residential quarter in the Bonn district of Bad Godesberg, known for its traditional half-timbered houses and picturesque setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muffendorf
Target entity description: Muffendorf is a historic, village-like residential quarter in the Bonn district of Bad Godesberg, known for its traditional half-timbered houses and picturesque setting.
  • A. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • B. Dietl
    Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
  • C. Sonnemann
    Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d01ddb0819085b5f5338b86a25d completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141867fac819093a3093aa8251eac completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c14794c3488190874b0a4d2c00514d completed March 23, 2026, 2 p.m.
NED2 Entity disambiguation (via description) batch_69c1480b10f08190891bfc8488bbaf16 completed March 23, 2026, 2:02 p.m.
Created at: March 22, 2026, 4:17 p.m.