Triple

T14755124
Position Surface form Disambiguated ID Type / Status
Subject Schottentor E346709 entity
Predicate connectsTo P845 FINISHED
Object Schottenring E472093 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: Schottenring | Statement: [Schottentor, connectsTo, Schottenring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schottenring
Context triple: [Schottentor, connectsTo, Schottenring]
  • A. Schottenring chosen
    Schottenring is a prominent section of Vienna’s Ringstrasse boulevard, known for its historic architecture and proximity to the city’s central district.
  • B. Schubertring
    Schubertring is a section of Vienna’s historic Ringstrasse boulevard, known for its elegant 19th-century architecture and proximity to major cultural landmarks.
  • C. Hansaplatz
    Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
  • D. Werner-von-Siemens-Ring
    The Werner-von-Siemens-Ring is a prestigious German scientific award honoring outstanding achievements in the fields of science and technology.
  • E. Universitätsring
    Universitätsring is a prominent boulevard in central Vienna that forms part of the historic Ringstrasse and runs past major landmarks such as the University of Vienna and the Burgtheater.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cea5d348190a84970da131292ee completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.