Triple

T19514678
Position Surface form Disambiguated ID Type / Status
Subject Innere Stadt E488246 entity
Predicate contains P35 FINISHED
Object Kärntner Straße NE NERFINISHED

How this triple was built (2 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: Kärntner Straße | Statement: [Innere Stadt, contains, Kärntner Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kärntner Straße
Context triple: [Innere Stadt, contains, Kärntner Straße]
  • A. Kärntner Straße chosen
    Kärntner Straße is one of Vienna’s most famous and busiest shopping streets, known for its pedestrian zone, historic architecture, and central location near major landmarks like St. Stephen’s Cathedral.
  • B. Mariahilfer Straße
    Mariahilfer Straße is one of Vienna’s main and busiest shopping streets, known for its numerous retail stores, cafes, and pedestrian-friendly sections.
  • C. Innsbrucker Straße
    Innsbrucker Straße is a street in Berlin, Germany, that connects to the major traffic junction Innsbrucker Platz in the district of Schöneberg.
  • D. Ötztal Straße
    Ötztal Straße is an Austrian federal road (B186) that runs through the Ötztal valley in the state of Tyrol, connecting the Inn Valley with several alpine communities and ski resorts.
  • E. Wipplingerstraße
    Wipplingerstraße is a historic street in Vienna’s city center known for its proximity to major squares, financial institutions, and notable civic buildings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359a7070819099d925447c80bf23 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.