Triple

T17388233
Position Surface form Disambiguated ID Type / Status
Subject Hubert Gessner E422743 entity
Predicate notableWork P4 FINISHED
Object Heimhof
Heimhof is a notable residential building in Vienna, Austria, designed in the early 20th century by architect Hubert Gessner in a distinctive Viennese Secessionist style.
 E1287545 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: Heimhof | Statement: [Hubert Gessner, notableWork, Heimhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heimhof
Context triple: [Hubert Gessner, notableWork, Heimhof]
  • A. Heiderhof
    Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • B. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • C. Porschdorf
    Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
  • D. Aidhausen
    Aidhausen is a small municipality in the Lower Franconia region of Bavaria, Germany.
  • E. Saalhof
    Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
  • 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: Heimhof
Triple: [Hubert Gessner, notableWork, Heimhof]
Generated description
Heimhof is a notable residential building in Vienna, Austria, designed in the early 20th century by architect Hubert Gessner in a distinctive Viennese Secessionist style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heimhof
Target entity description: Heimhof is a notable residential building in Vienna, Austria, designed in the early 20th century by architect Hubert Gessner in a distinctive Viennese Secessionist style.
  • A. Heiderhof
    Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • B. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • C. Porschdorf
    Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
  • D. Aidhausen
    Aidhausen is a small municipality in the Lower Franconia region of Bavaria, Germany.
  • E. Saalhof
    Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8b66288190b29bb82eff761902 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f82126088190ac22448639dafd35 completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f8ba9f3c8190adf8ca9b8a7295a0 completed May 12, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_6a02f97d8c9081908ecaba1ffdb07332 completed May 12, 2026, 9:57 a.m.
Created at: April 10, 2026, 5:45 a.m.