Triple

T13192569
Position Surface form Disambiguated ID Type / Status
Subject Anna von Schweidnitz E314029 entity
Predicate familyName P18 FINISHED
Object von Schweidnitz
Von Schweidnitz is a German noble family name historically associated with Silesian aristocracy.
E1027357 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: von Schweidnitz | Statement: [Anna von Schweidnitz, familyName, von Schweidnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Schweidnitz
Context triple: [Anna von Schweidnitz, familyName, von Schweidnitz]
  • A. von Seyffertitz
    von Seyffertitz is a German noble family name most notably borne by actor and director Gustav von Seyffertitz.
  • B. Zschaitz-Ottewig
    Zschaitz-Ottewig is a small municipality in the district of Mittelsachsen in the German state of Saxony.
  • C. von Schlieben
    von Schlieben is a German noble family name historically associated with military officers and aristocracy.
  • D. Wendisch Rietz
    Wendisch Rietz is a lakeside village and holiday resort in Brandenburg, Germany, known for its location on the shores of Scharmützelsee and its recreational tourism.
  • E. Riedering
    Riedering is a municipality in Bavaria, Germany, situated in the Alpine foothills near the city of Rosenheim.
  • 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: von Schweidnitz
Triple: [Anna von Schweidnitz, familyName, von Schweidnitz]
Generated description
Von Schweidnitz is a German noble family name historically associated with Silesian aristocracy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: von Schweidnitz
Target entity description: Von Schweidnitz is a German noble family name historically associated with Silesian aristocracy.
  • A. von Seyffertitz
    von Seyffertitz is a German noble family name most notably borne by actor and director Gustav von Seyffertitz.
  • B. Zschaitz-Ottewig
    Zschaitz-Ottewig is a small municipality in the district of Mittelsachsen in the German state of Saxony.
  • C. von Schlieben
    von Schlieben is a German noble family name historically associated with military officers and aristocracy.
  • D. Wendisch Rietz
    Wendisch Rietz is a lakeside village and holiday resort in Brandenburg, Germany, known for its location on the shores of Scharmützelsee and its recreational tourism.
  • E. Riedering
    Riedering is a municipality in Bavaria, Germany, situated in the Alpine foothills near the city of Rosenheim.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c6158e4819082c8ad75b4dfdd90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5fef9e48190961d66ebcc1df11f completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f80b420c8190b5028be4fa99fb59 completed May 3, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69f6f89072a88190b3182f581b1b6762 completed May 3, 2026, 7:26 a.m.
Created at: April 9, 2026, 9:15 p.m.