Triple

T12747968
Position Surface form Disambiguated ID Type / Status
Subject Café Sacher E304654 entity
Predicate near P350 FINISHED
Object Kärntner Straße 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: Kärntner Straße | Statement: [Café Sacher, near, Kärntner Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kärntner Straße
Context triple: [Café Sacher, near, 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. Römerhofgasse
    Römerhofgasse is a picturesque historic alley in Kufstein, Austria, known for its traditional architecture, quaint shops, and charming old-town atmosphere.
  • C. Seckbacher Landstraße
    Seckbacher Landstraße is a public transport stop in the Bornheim district of Frankfurt am Main, Germany.
  • D. Franz-Körner-Straße
    Franz-Körner-Straße is a street in Berlin, Germany, located in the Neukölln district near Columbiadamm and the former Tempelhof Airport.
  • E. Rathausstraße
    Rathausstraße is a central street in Berlin’s Mitte district, known for running past the historic Rotes Rathaus (Berlin City Hall) near Alexanderplatz.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd58d30819082af4edb4cd0b4ab completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e25d24e481908253e1af630835f1 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 5:27 p.m.