Triple

T5187828
Position Surface form Disambiguated ID Type / Status
Subject Federal Court of Justice of Germany E117074 entity
Predicate buildingLocation P40 FINISHED
Object Herrenstraße, Karlsruhe
Herrenstraße in Karlsruhe is a prominent street best known for housing Germany’s Federal Court of Justice.
 E502093 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: Herrenstraße, Karlsruhe | Statement: [Federal Court of Justice of Germany, buildingLocation, Herrenstraße, Karlsruhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Herrenstraße, Karlsruhe
Context triple: [Federal Court of Justice of Germany, buildingLocation, Herrenstraße, Karlsruhe]
  • A. Kaufingerstraße
    Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
  • B. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • C. Gustav-Adolf-Straße
    Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
  • D. Scharnweberstraße
    Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
  • E. Hirzelstrasse
    Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
  • 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: Herrenstraße, Karlsruhe
Triple: [Federal Court of Justice of Germany, buildingLocation, Herrenstraße, Karlsruhe]
Generated description
Herrenstraße in Karlsruhe is a prominent street best known for housing Germany’s Federal Court of Justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Herrenstraße, Karlsruhe
Target entity description: Herrenstraße in Karlsruhe is a prominent street best known for housing Germany’s Federal Court of Justice.
  • A. Kaufingerstraße
    Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
  • B. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • C. Gustav-Adolf-Straße
    Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
  • D. Scharnweberstraße
    Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
  • E. Hirzelstrasse
    Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c56280819085926316f7b520bc completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08af954819080dbe7ea1ac6ddb0 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee5fc0c408190b4ad4b77e0045182 completed March 21, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69bee6b954c08190a353ebcfe829888a completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.