Triple

T15981820
Position Surface form Disambiguated ID Type / Status
Subject Landhaus Graz E387593 entity
Predicate hasPart P35 FINISHED
Object Landhaushof
Landhaushof is the historic inner courtyard of the Renaissance-era Landhaus in Graz, Austria, renowned for its arcaded facades and role as a venue for cultural events.
E1188655 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: Landhaushof | Statement: [Landhaus Graz, hasPart, Landhaushof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landhaushof
Context triple: [Landhaus Graz, hasPart, Landhaushof]
  • A. Erbdrostenhof
    Erbdrostenhof is an 18th-century Baroque palace in Münster, Germany, renowned for its ornate architecture and historical significance.
  • B. Schickenhof
    Schickenhof is a small locality in Germany best known as the birthplace of Nobel Prize–winning physicist Johannes Stark.
  • C. Domhütte
    Domhütte is a high-altitude Swiss Alpine Club mountain hut that serves as the main base for climbers ascending the Dom in the Pennine Alps.
  • D. Waidhaus
    Waidhaus is a municipality in eastern Bavaria, Germany, near the Czech border, known as a key road border crossing and transport hub.
  • E. Grabenhof
    Grabenhof is a notable building complex located on Vienna’s historic Graben street, known for its characteristic 19th-century architecture and prominent city-center location.
  • 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: Landhaushof
Triple: [Landhaus Graz, hasPart, Landhaushof]
Generated description
Landhaushof is the historic inner courtyard of the Renaissance-era Landhaus in Graz, Austria, renowned for its arcaded facades and role as a venue for cultural events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Landhaushof
Target entity description: Landhaushof is the historic inner courtyard of the Renaissance-era Landhaus in Graz, Austria, renowned for its arcaded facades and role as a venue for cultural events.
  • A. Erbdrostenhof
    Erbdrostenhof is an 18th-century Baroque palace in Münster, Germany, renowned for its ornate architecture and historical significance.
  • B. Schickenhof
    Schickenhof is a small locality in Germany best known as the birthplace of Nobel Prize–winning physicist Johannes Stark.
  • C. Domhütte
    Domhütte is a high-altitude Swiss Alpine Club mountain hut that serves as the main base for climbers ascending the Dom in the Pennine Alps.
  • D. Waidhaus
    Waidhaus is a municipality in eastern Bavaria, Germany, near the Czech border, known as a key road border crossing and transport hub.
  • E. Grabenhof
    Grabenhof is a notable building complex located on Vienna’s historic Graben street, known for its characteristic 19th-century architecture and prominent city-center location.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15754e8648190a93b73184db089a7 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc5f664148190a1f400c28d31cafe completed May 9, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffc6f9b4f4819092600165241377f6 completed May 9, 2026, 11:44 p.m.
Created at: April 10, 2026, 4:54 a.m.