Triple

T9986952
Position Surface form Disambiguated ID Type / Status
Subject Ferdinand Porsche E196792 entity
Predicate birthPlace P1 FINISHED
Object Maffersdorf
Maffersdorf is a former village in the Liberec region of what is now the Czech Republic, historically part of Bohemia and known as the birthplace of automotive engineer Ferdinand Porsche.
 E892328 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: Maffersdorf | Statement: [Ferdinand Porsche, birthPlace, Maffersdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maffersdorf
Context triple: [Ferdinand Porsche, birthPlace, Maffersdorf]
  • A. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • B. Gneixendorf
    Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
  • C. Pfaffendorf
    Pfaffendorf is a district of the German city of Koblenz, situated on the east bank of the Rhine River.
  • D. Pottendorf
    Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
  • E. Ebreichsdorf
    Ebreichsdorf is a small town in Lower Austria known for its equestrian facilities and proximity to Vienna.
  • 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: Maffersdorf
Triple: [Ferdinand Porsche, birthPlace, Maffersdorf]
Generated description
Maffersdorf is a former village in the Liberec region of what is now the Czech Republic, historically part of Bohemia and known as the birthplace of automotive engineer Ferdinand Porsche.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maffersdorf
Target entity description: Maffersdorf is a former village in the Liberec region of what is now the Czech Republic, historically part of Bohemia and known as the birthplace of automotive engineer Ferdinand Porsche.
  • A. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • B. Gneixendorf
    Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
  • C. Pfaffendorf
    Pfaffendorf is a district of the German city of Koblenz, situated on the east bank of the Rhine River.
  • D. Pottendorf
    Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
  • E. Ebreichsdorf
    Ebreichsdorf is a small town in Lower Austria known for its equestrian facilities and proximity to Vienna.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79c8b80819091dc16ac8fd0c720 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15435faa881909b1a124f8027deeb completed April 16, 2026, 9:27 p.m.
NEDg Description generation batch_69e17d3060888190b3801272835b939a completed April 17, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69e1806bc1048190bcbff6f6d3d7da19 completed April 17, 2026, 12:35 a.m.
Created at: March 30, 2026, 8:50 p.m.