Triple

T14835382
Position Surface form Disambiguated ID Type / Status
Subject Kärntner Straße E348816 entity
Predicate knownAs P39 FINISHED
Object Kärntnerstrasse E348816 NE FINISHED

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: Kärntnerstrasse | Statement: [Kärntner Straße, knownAs, Kärntnerstrasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kärntnerstrasse
Context triple: [Kärntner Straße, knownAs, Kärntnerstrasse]
  • 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. Niederdorfstrasse
    Niederdorfstrasse is a lively, historic pedestrian street in Zurich known for its medieval charm, shops, restaurants, and nightlife.
  • D. Kochergasse
    Kochergasse is a central street in Bern, Switzerland, situated in the government district close to the Federal Palace and other key federal institutions.
  • E. Römerhofgasse
    Römerhofgasse is a picturesque historic alley in Kufstein, Austria, known for its traditional architecture, quaint shops, and charming old-town atmosphere.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3216fc8190b79740a993b98cb3 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 1:52 a.m.