Triple

T6831630
Position Surface form Disambiguated ID Type / Status
Subject Charlottenburg Palace E157150 entity
Predicate formerName P65 FINISHED
Object Lietzenburg
Lietzenburg was the original name of what is now Charlottenburg Palace, a major Baroque royal residence in Berlin associated with the Prussian monarchy.
 E621891 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: Lietzenburg | Statement: [Charlottenburg Palace, formerName, Lietzenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lietzenburg
Context triple: [Charlottenburg Palace, formerName, Lietzenburg]
  • A. Lutzenberg
    Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
  • B. Lage Landen
    Lage Landen is the historical Low Countries region in Western Europe, roughly encompassing present-day Belgium, the Netherlands, and Luxembourg.
  • C. Ozinga
    Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
  • D. Luxemburg
    Luxemburg is a surname most famously associated with Rosa Luxemburg, the Marxist theorist, revolutionary socialist, and co-founder of the Spartacist League in Germany.
  • E. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • 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: Lietzenburg
Triple: [Charlottenburg Palace, formerName, Lietzenburg]
Generated description
Lietzenburg was the original name of what is now Charlottenburg Palace, a major Baroque royal residence in Berlin associated with the Prussian monarchy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lietzenburg
Target entity description: Lietzenburg was the original name of what is now Charlottenburg Palace, a major Baroque royal residence in Berlin associated with the Prussian monarchy.
  • A. Lutzenberg
    Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
  • B. Lage Landen
    Lage Landen is the historical Low Countries region in Western Europe, roughly encompassing present-day Belgium, the Netherlands, and Luxembourg.
  • C. Ozinga
    Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
  • D. Luxemburg
    Luxemburg is a surname most famously associated with Rosa Luxemburg, the Marxist theorist, revolutionary socialist, and co-founder of the Spartacist League in Germany.
  • E. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62992908190996efab71cbf70f0 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723fab0a4819080d7cd9cb4dddd33 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724b7b31081909c2bab4a3ba6e9f9 completed March 28, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69c72536c4808190b9012e282cf02da4 completed March 28, 2026, 12:47 a.m.
Created at: March 27, 2026, 2:18 p.m.