Triple

T8862525
Position Surface form Disambiguated ID Type / Status
Subject Wettin-Löbejün E210926 entity
Predicate hasPart P35 FINISHED
Object Nauendorf
Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
E786230 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: Nauendorf | Statement: [Wettin-Löbejün, hasPart, Nauendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nauendorf
Context triple: [Wettin-Löbejün, hasPart, Nauendorf]
  • A. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • B. Westendorf
    Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
  • C. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • D. Fritzdorf
    Fritzdorf is a village in the municipality of Wachtberg in North Rhine-Westphalia, Germany.
  • E. Heinersdorf
    Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
  • 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: Nauendorf
Triple: [Wettin-Löbejün, hasPart, Nauendorf]
Generated description
Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nauendorf
Target entity description: Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
  • A. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • B. Westendorf
    Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
  • C. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • D. Fritzdorf
    Fritzdorf is a village in the municipality of Wachtberg in North Rhine-Westphalia, Germany.
  • E. Heinersdorf
    Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610263048190931bb2c3ac573a08 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0772ba2808190b8b7948a09b8dee5 completed April 4, 2026, 2:27 a.m.
NEDg Description generation batch_69d0789ce9908190b5771e07f8b91ec0 completed April 4, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69d0791194948190ad0f1a3114b9b0ef completed April 4, 2026, 2:36 a.m.
Created at: March 30, 2026, 6:50 p.m.