Triple

T23158791
Position Surface form Disambiguated ID Type / Status
Subject Kreis Freiberg E578521 entity
Predicate contains P35 FINISHED
Object Leubsdorf
Leubsdorf is a municipality in the Free State of Saxony in eastern Germany, historically associated with the former district of Freiberg.
E1574309 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: Leubsdorf | Statement: [Kreis Freiberg, contains, Leubsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leubsdorf
Context triple: [Kreis Freiberg, contains, Leubsdorf]
  • A. Kaulsdorf
    Kaulsdorf is a residential locality in eastern Berlin, Germany, known for its mix of historic village center and post-war housing estates.
  • B. Gilsdorf
    Gilsdorf is a small town in northeastern Luxembourg, known as a residential locality within the commune of Bettendorf.
  • C. Wiesdorf
    Wiesdorf is a central district of the German city of Leverkusen, known for its commercial areas and proximity to major industrial facilities.
  • D. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • E. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • 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: Leubsdorf
Triple: [Kreis Freiberg, contains, Leubsdorf]
Generated description
Leubsdorf is a municipality in the Free State of Saxony in eastern Germany, historically associated with the former district of Freiberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leubsdorf
Target entity description: Leubsdorf is a municipality in the Free State of Saxony in eastern Germany, historically associated with the former district of Freiberg.
  • A. Kaulsdorf
    Kaulsdorf is a residential locality in eastern Berlin, Germany, known for its mix of historic village center and post-war housing estates.
  • B. Gilsdorf
    Gilsdorf is a small town in northeastern Luxembourg, known as a residential locality within the commune of Bettendorf.
  • C. Wiesdorf
    Wiesdorf is a central district of the German city of Leverkusen, known for its commercial areas and proximity to major industrial facilities.
  • D. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • E. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efeddd48190b6d03d2146583dcc completed April 29, 2026, 4:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30a009a88190ace5fe645f0e9d23 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c3433083081909b486004ed8ae017 completed May 19, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0c352416508190a08f1d46ef3c4916 completed May 19, 2026, 10:02 a.m.
Created at: April 17, 2026, 4:02 p.m.