Triple

T1924799
Position Surface form Disambiguated ID Type / Status
Subject Münster E40803 entity
Predicate hasLandmark P105 FINISHED
Object Erbdrostenhof
Erbdrostenhof is an 18th-century Baroque palace in Münster, Germany, renowned for its ornate architecture and historical significance.
E215547 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: Erbdrostenhof | Statement: [Münster, hasLandmark, Erbdrostenhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erbdrostenhof
Context triple: [Münster, hasLandmark, Erbdrostenhof]
  • A. Maison Kammerzell
    Maison Kammerzell is a richly ornamented late Gothic and Renaissance timber-framed house in Strasbourg, France, renowned as one of the city’s most iconic historic buildings.
  • B. Helmscherode
    Helmscherode is a small locality in Germany known as the birthplace of Wilhelm Keitel, a senior military leader of Nazi Germany.
  • C. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • D. Alstätte
    Alstätte is a village and district of the town of Ahaus in the Münsterland region of North Rhine-Westphalia, Germany.
  • E. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • 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: Erbdrostenhof
Triple: [Münster, hasLandmark, Erbdrostenhof]
Generated description
Erbdrostenhof is an 18th-century Baroque palace in Münster, Germany, renowned for its ornate architecture and historical significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erbdrostenhof
Target entity description: Erbdrostenhof is an 18th-century Baroque palace in Münster, Germany, renowned for its ornate architecture and historical significance.
  • A. Maison Kammerzell
    Maison Kammerzell is a richly ornamented late Gothic and Renaissance timber-framed house in Strasbourg, France, renowned as one of the city’s most iconic historic buildings.
  • B. Helmscherode
    Helmscherode is a small locality in Germany known as the birthplace of Wilhelm Keitel, a senior military leader of Nazi Germany.
  • C. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • D. Alstätte
    Alstätte is a village and district of the town of Ahaus in the Münsterland region of North Rhine-Westphalia, Germany.
  • E. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb260da088190ac53bfc9437e112b completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e881748190b00f125185e91271 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf494f0288190bf77285d18fcd3d9 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf51f49488190b9b0465b4da685c1 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.