Triple

T1311218
Position Surface form Disambiguated ID Type / Status
Subject German Empire E27993 entity
Predicate predecessor P97 FINISHED
Object Baden
Baden was a historical state in southwestern Germany that existed as a grand duchy before being incorporated into the German Empire.
 E220958 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: Baden | Statement: [German Empire, predecessor, Baden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baden
Context triple: [German Empire, predecessor, Baden]
  • A. Baden
    Baden is a historic spa town in present-day Switzerland known for hosting the 1714 Treaty of Baden that helped conclude the War of the Spanish Succession.
  • B. Weil am Rhein
    Weil am Rhein is a German town in the state of Baden-Württemberg, located at the tripoint border with France and Switzerland near Basel.
  • C. Rastatt
    Rastatt is a historic town in southwestern Germany, known for its Baroque architecture and its role as the site of significant early 18th-century peace negotiations.
  • D. Baselland
    Baselland is a canton in northwestern Switzerland known for its mix of industrial centers, rural landscapes, and proximity to the city of Basel.
  • E. Bermaringen
    Bermaringen is a village and district within the municipality of Blaustein in the Alb-Donau region of Baden-Württemberg, Germany.
  • 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: Baden
Triple: [German Empire, predecessor, Baden]
Generated description
Baden was a historical state in southwestern Germany that existed as a grand duchy before being incorporated into the German Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baden
Target entity description: Baden was a historical state in southwestern Germany that existed as a grand duchy before being incorporated into the German Empire.
  • A. Baden
    Baden is a historic spa town in present-day Switzerland known for hosting the 1714 Treaty of Baden that helped conclude the War of the Spanish Succession.
  • B. Weil am Rhein
    Weil am Rhein is a German town in the state of Baden-Württemberg, located at the tripoint border with France and Switzerland near Basel.
  • C. Rastatt
    Rastatt is a historic town in southwestern Germany, known for its Baroque architecture and its role as the site of significant early 18th-century peace negotiations.
  • D. Baselland
    Baselland is a canton in northwestern Switzerland known for its mix of industrial centers, rural landscapes, and proximity to the city of Basel.
  • E. Bermaringen
    Bermaringen is a village and district within the municipality of Blaustein in the Alb-Donau region of Baden-Württemberg, Germany.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1560f888190bdd9107b08395e0b completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02f56b348190b71875b0c839c729 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae0354854c8190873938e03d56db21 completed March 8, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69ae039c7728819086acf060afcbe5b6 completed March 8, 2026, 11:17 p.m.
Created at: March 1, 2026, 7:51 p.m.