Triple

T4847792
Position Surface form Disambiguated ID Type / Status
Subject Altstadt (Salzburg) E108333 entity
Predicate contains P35 FINISHED
Object Makartsteg
Makartsteg is a modern pedestrian bridge over the Salzach River in Salzburg, Austria, known for its love locks and views of the historic city center.
E473479 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: Makartsteg | Statement: [Altstadt (Salzburg), contains, Makartsteg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makartsteg
Context triple: [Altstadt (Salzburg), contains, Makartsteg]
  • A. Henkersteg
    Henkersteg is a historic wooden footbridge in Nuremberg, Germany, known for its medieval architecture and picturesque crossing over the Pegnitz River.
  • B. Makatsch
    Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
  • C. Kärdla
    Kärdla is the main town and administrative center of Hiiumaa Island in Estonia, known for its coastal location and small-town character.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Kremmen
    Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
  • 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: Makartsteg
Triple: [Altstadt (Salzburg), contains, Makartsteg]
Generated description
Makartsteg is a modern pedestrian bridge over the Salzach River in Salzburg, Austria, known for its love locks and views of the historic city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Makartsteg
Target entity description: Makartsteg is a modern pedestrian bridge over the Salzach River in Salzburg, Austria, known for its love locks and views of the historic city center.
  • A. Henkersteg
    Henkersteg is a historic wooden footbridge in Nuremberg, Germany, known for its medieval architecture and picturesque crossing over the Pegnitz River.
  • B. Makatsch
    Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
  • C. Kärdla
    Kärdla is the main town and administrative center of Hiiumaa Island in Estonia, known for its coastal location and small-town character.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Kremmen
    Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d1aefdc8190910b78615730f991 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cdafb3481908594ae883c6e9872 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5d4f2f908190b305996875f1f956 completed March 21, 2026, 8:56 a.m.
NED2 Entity disambiguation (via description) batch_69be5dcbb58c8190bbcf75c570720ad6 completed March 21, 2026, 8:58 a.m.
Created at: March 20, 2026, 1:25 p.m.