Triple

T9472351
Position Surface form Disambiguated ID Type / Status
Subject Sundern E228422 entity
Predicate hasSubdivision P747 FINISHED
Object Allendorf
Allendorf is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
E880173 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: Allendorf | Statement: [Sundern, hasSubdivision, Allendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allendorf
Context triple: [Sundern, hasSubdivision, Allendorf]
  • A. Westendorf
    Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
  • B. Offendorf
    Offendorf is a small commune in northeastern France’s Alsace region, situated along the Rhine and known for its riverside setting and traditional village character.
  • C. Nauendorf
    Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
  • D. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • E. Ummendorf
    Ummendorf is a small municipality in the German state of Baden-Württemberg, situated in the district of Biberach in southern Germany.
  • 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: Allendorf
Triple: [Sundern, hasSubdivision, Allendorf]
Generated description
Allendorf is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Allendorf
Target entity description: Allendorf is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
  • A. Westendorf
    Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
  • B. Offendorf
    Offendorf is a small commune in northeastern France’s Alsace region, situated along the Rhine and known for its riverside setting and traditional village character.
  • C. Nauendorf
    Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
  • D. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • E. Ummendorf
    Ummendorf is a small municipality in the German state of Baden-Württemberg, situated in the district of Biberach in southern Germany.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fef6f288190b2d158c829b31de9 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99859b5cc81908475fde408802607 completed April 11, 2026, 12:39 a.m.
NEDg Description generation batch_69d99e8312188190bec3090f34a7b9b9 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69d99f50e0888190b8e7b2547e1526af completed April 11, 2026, 1:09 a.m.
Created at: March 30, 2026, 7:54 p.m.