Triple

T9414032
Position Surface form Disambiguated ID Type / Status
Subject Castle Road E226768 entity
Predicate nativeName P15 FINISHED
Object Burgenstraße
Burgenstraße is a famous German tourist route known for connecting numerous historic castles and picturesque medieval towns.
 E797521 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: Burgenstraße | Statement: [Castle Road, nativeName, Burgenstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burgenstraße
Context triple: [Castle Road, nativeName, Burgenstraße]
  • A. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • B. Turmstraße
    Turmstraße is a major street and local center in Berlin’s Moabit district, known for its shops, eateries, and public transport connections.
  • C. Rathausstraße
    Rathausstraße is a central street in Berlin’s Mitte district, known for running past the historic Rotes Rathaus (Berlin City Hall) near Alexanderplatz.
  • D. Bergmannstraße
    Bergmannstraße is a notable street in Berlin, Germany, known for its lively mix of cafés, shops, and historic sites including the Luisenstädtischer Friedhof cemetery.
  • E. Gerichtstraße
    Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
  • 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: Burgenstraße
Triple: [Castle Road, nativeName, Burgenstraße]
Generated description
Burgenstraße is a famous German tourist route known for connecting numerous historic castles and picturesque medieval towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burgenstraße
Target entity description: Burgenstraße is a famous German tourist route known for connecting numerous historic castles and picturesque medieval towns.
  • A. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • B. Turmstraße
    Turmstraße is a major street and local center in Berlin’s Moabit district, known for its shops, eateries, and public transport connections.
  • C. Rathausstraße
    Rathausstraße is a central street in Berlin’s Mitte district, known for running past the historic Rotes Rathaus (Berlin City Hall) near Alexanderplatz.
  • D. Bergmannstraße
    Bergmannstraße is a notable street in Berlin, Germany, known for its lively mix of cafés, shops, and historic sites including the Luisenstädtischer Friedhof cemetery.
  • E. Gerichtstraße
    Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c680e48190be82e3829e8711f0 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107b63cf48190a072e3434a7b85a8 completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d108466fb481909682fcaac354b312 completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d108be82888190b0ec08119cd00b68 completed April 4, 2026, 12:49 p.m.
Created at: March 30, 2026, 7:47 p.m.