Triple

T18072252
Position Surface form Disambiguated ID Type / Status
Subject Königswinter E432458 entity
Predicate hasPart P35 FINISHED
Object Oberdollendorf
Oberdollendorf is a district of the town of Königswinter in Germany, known for its wine-growing tradition and scenic location along the Rhine.
E1324676 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: Oberdollendorf | Statement: [Königswinter, hasPart, Oberdollendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberdollendorf
Context triple: [Königswinter, hasPart, Oberdollendorf]
  • A. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • B. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • C. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • D. Oberhöchstadt
    Oberhöchstadt is a district of the town of Kronberg im Taunus in Hesse, Germany, known for its residential character within the Taunus region.
  • E. Ebersdorf
    Ebersdorf is a historic town in present-day Germany that once served as the capital of one of the small Reuss principalities.
  • 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: Oberdollendorf
Triple: [Königswinter, hasPart, Oberdollendorf]
Generated description
Oberdollendorf is a district of the town of Königswinter in Germany, known for its wine-growing tradition and scenic location along the Rhine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oberdollendorf
Target entity description: Oberdollendorf is a district of the town of Königswinter in Germany, known for its wine-growing tradition and scenic location along the Rhine.
  • A. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • B. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • C. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • D. Oberhöchstadt
    Oberhöchstadt is a district of the town of Kronberg im Taunus in Hesse, Germany, known for its residential character within the Taunus region.
  • E. Ebersdorf
    Ebersdorf is a historic town in present-day Germany that once served as the capital of one of the small Reuss principalities.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccef022c81909be41b2c3a3ee68e completed April 19, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fc93a708190b8b667e8f5c54417 completed May 13, 2026, 5:44 a.m.
NEDg Description generation batch_6a0411178f848190a825eac107ceabc2 completed May 13, 2026, 5:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0411953ddc8190845a712b26dde37f completed May 13, 2026, 5:52 a.m.
Created at: April 10, 2026, 10:26 a.m.