Triple

T18072253
Position Surface form Disambiguated ID Type / Status
Subject Königswinter E432458 entity
Predicate hasPart P35 FINISHED
Object Niederdollendorf
Niederdollendorf is a district of the town of Königswinter in North Rhine-Westphalia, Germany, situated along the Rhine and known for its winegrowing and scenic location near the Siebengebirge hills.
E1304144 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: Niederdollendorf | Statement: [Königswinter, hasPart, Niederdollendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niederdollendorf
Context triple: [Königswinter, hasPart, Niederdollendorf]
  • A. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • B. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • C. Ernsdorf
    Ernsdorf is a small locality in Germany known primarily as the birthplace of industrialist Friedrich Flick.
  • D. Schattdorf
    Schattdorf is a Swiss municipality located in the central Alpine canton of Uri.
  • E. Aulendorf
    Aulendorf is a small town in the Upper Swabia region of southern Germany, known for its historic castle and spa facilities.
  • 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: Niederdollendorf
Triple: [Königswinter, hasPart, Niederdollendorf]
Generated description
Niederdollendorf is a district of the town of Königswinter in North Rhine-Westphalia, Germany, situated along the Rhine and known for its winegrowing and scenic location near the Siebengebirge hills.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Niederdollendorf
Target entity description: Niederdollendorf is a district of the town of Königswinter in North Rhine-Westphalia, Germany, situated along the Rhine and known for its winegrowing and scenic location near the Siebengebirge hills.
  • A. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • B. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • C. Ernsdorf
    Ernsdorf is a small locality in Germany known primarily as the birthplace of industrialist Friedrich Flick.
  • D. Schattdorf
    Schattdorf is a Swiss municipality located in the central Alpine canton of Uri.
  • E. Aulendorf
    Aulendorf is a small town in the Upper Swabia region of southern Germany, known for its historic castle and spa facilities.
  • 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_6a0356748f848190bb4c263355edf07f completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a03581a400c819091bbad0a45b482a0 completed May 12, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a03590c44b8819099bbce039ddec07c completed May 12, 2026, 4:45 p.m.
Created at: April 10, 2026, 10:26 a.m.