Triple

T19266882
Position Surface form Disambiguated ID Type / Status
Subject Geisenfeld E481806 entity
Predicate hasSubdivision P747 FINISHED
Object Ilmendorf
Ilmendorf is a village and locality within the municipality of Geisenfeld in Bavaria, Germany.
E1368438 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: Ilmendorf | Statement: [Geisenfeld, hasSubdivision, Ilmendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilmendorf
Context triple: [Geisenfeld, hasSubdivision, Ilmendorf]
  • A. Allendorf
    Allendorf is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
  • B. Westendorf
    Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
  • C. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • D. Aulendorf
    Aulendorf is a small town in the Upper Swabia region of southern Germany, known for its historic castle and spa facilities.
  • E. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • 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: Ilmendorf
Triple: [Geisenfeld, hasSubdivision, Ilmendorf]
Generated description
Ilmendorf is a village and locality within the municipality of Geisenfeld in Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ilmendorf
Target entity description: Ilmendorf is a village and locality within the municipality of Geisenfeld in Bavaria, Germany.
  • A. Allendorf
    Allendorf is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
  • B. Westendorf
    Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
  • C. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • D. Aulendorf
    Aulendorf is a small town in the Upper Swabia region of southern Germany, known for its historic castle and spa facilities.
  • E. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8d58988190a942627b1fb79285 completed April 20, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e6ec97c81909944d41943b94b34 completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070fc891448190a5061c0d340548d5 completed May 15, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0710836b608190a89900ba3f6916bb completed May 15, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:29 p.m.