Triple

T16387742
Position Surface form Disambiguated ID Type / Status
Subject U4 line E397966 entity
Predicate hasStation P35 FINISHED
Object Viktoria-Luise-Platz E89581 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: Viktoria-Luise-Platz | Statement: [U4 line, hasStation, Viktoria-Luise-Platz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viktoria-Luise-Platz
Context triple: [U4 line, hasStation, Viktoria-Luise-Platz]
  • A. Viktoria-Luise-Platz chosen
    Viktoria-Luise-Platz is a historic, park-like square and U-Bahn station area in Berlin known for its distinctive circular layout and surrounding early 20th-century architecture.
  • B. Max-Joseph-Platz
    Max-Joseph-Platz is a prominent square in central Munich, Germany, known for its grand architecture and as the site of the Bavarian State Opera and the Residenz.
  • C. Wittelsbacherplatz
    Wittelsbacherplatz is a historic square in central Munich, Germany, known for its neoclassical architecture and prominent equestrian statue of King Ludwig I.
  • D. Rosenheimer Platz
    Rosenheimer Platz is a central square and transport hub in Munich’s Haidhausen district, known for its busy S-Bahn station and surrounding shops and cafes.
  • E. Max-Josefs-Platz
    Max-Josefs-Platz is a historic central square in Rosenheim, Germany, known for its picturesque old-town architecture, shops, and cafés.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263e1534819081a6bf5006c611c5 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bf3d308190b4965d57fe327a52 completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:08 a.m.