Triple

T13563174
Position Surface form Disambiguated ID Type / Status
Subject Lutz Schwerin von Krosigk E323961 entity
Predicate placeOfBirth P1 FINISHED
Object Rathmannsdorf
Rathmannsdorf is a small municipality in the German state of Saxony, known for its location in the scenic Saxon Switzerland region.
E1137385 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: Rathmannsdorf | Statement: [Lutz Schwerin von Krosigk, placeOfBirth, Rathmannsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rathmannsdorf
Context triple: [Lutz Schwerin von Krosigk, placeOfBirth, Rathmannsdorf]
  • A. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • B. Teisendorf
    Teisendorf is a market town in southeastern Bavaria, Germany, known for its rural Alpine setting and traditional Bavarian character.
  • C. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • D. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • E. Malgersdorf
    Malgersdorf is a small municipality in the Rottal-Inn district of Lower Bavaria, 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: Rathmannsdorf
Triple: [Lutz Schwerin von Krosigk, placeOfBirth, Rathmannsdorf]
Generated description
Rathmannsdorf is a small municipality in the German state of Saxony, known for its location in the scenic Saxon Switzerland region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rathmannsdorf
Target entity description: Rathmannsdorf is a small municipality in the German state of Saxony, known for its location in the scenic Saxon Switzerland region.
  • A. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • B. Teisendorf
    Teisendorf is a market town in southeastern Bavaria, Germany, known for its rural Alpine setting and traditional Bavarian character.
  • C. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • D. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • E. Malgersdorf
    Malgersdorf is a small municipality in the Rottal-Inn district of Lower Bavaria, 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69feadf5e520819090c3211a1992d463 completed May 9, 2026, 3:45 a.m.
NEDg Description generation batch_69feb2ce28388190945d6a22cf56ce3f completed May 9, 2026, 4:06 a.m.
NED2 Entity disambiguation (via description) batch_69feb325f9e881908e80126dc2f25e58 completed May 9, 2026, 4:08 a.m.
Created at: April 9, 2026, 9:47 p.m.