Triple

T22183371
Position Surface form Disambiguated ID Type / Status
Subject Wien Mitte railway station E548227 entity
Predicate isLocatedNear P350 FINISHED
Object Landstraßer Hauptstraße 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: Landstraßer Hauptstraße | Statement: [Wien Mitte railway station, isLocatedNear, Landstraßer Hauptstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landstraßer Hauptstraße
Context triple: [Wien Mitte railway station, isLocatedNear, Landstraßer Hauptstraße]
  • A. Landstraßer Hauptstraße chosen
    Landstraßer Hauptstraße is a major shopping and traffic artery in Vienna’s 3rd district, known for its mix of historic buildings, retail stores, and local services.
  • B. Elbestraße
    Elbestraße is a street in Frankfurt am Main’s central Bahnhofsviertel district, known for its nightlife, diverse culture, and proximity to the main train station.
  • C. Taunusstraße
    Taunusstraße is a well-known street in Frankfurt’s Bahnhofsviertel district, noted for its nightlife, diverse restaurants, and red-light establishments.
  • D. Langenstraße
    Langenstraße is a district or neighborhood within the town of Rüthen in North Rhine-Westphalia, Germany.
  • E. Behrenstraße
    Behrenstraße is a central street in Berlin, Germany, known for its cultural venues and historic architecture near Unter den Linden.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa687808190b9959d4e91db948a completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.