Triple

T23345238
Position Surface form Disambiguated ID Type / Status
Subject Bellevue tram stop E591838 entity
Predicate locatedAt P40 FINISHED
Object Bellevueplatz 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: Bellevueplatz | Statement: [Bellevue tram stop, locatedAt, Bellevueplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellevueplatz
Context triple: [Bellevue tram stop, locatedAt, Bellevueplatz]
  • A. Bellevueplatz chosen
    Bellevueplatz is a major public square and transportation hub in central Zurich, Switzerland, located at the edge of Lake Zurich and serving as a key junction for trams, buses, and pedestrian traffic.
  • B. Königsplatz
    Königsplatz is a central square in the Bavarian city of Fürth, Germany, known as an important local transport and urban hub.
  • C. Königsplatz
    Königsplatz is a historic square in Berlin that played a significant role in the city’s political and cultural life, especially during the 19th and early 20th centuries.
  • D. Königsplatz
    Königsplatz is a historic square in Munich, Germany, renowned for its neoclassical architecture and prominent museums forming part of the city’s cultural district.
  • E. Savignyplatz
    Savignyplatz is a well-known square and surrounding neighborhood in Berlin’s Charlottenburg district, noted for its lively cafés, restaurants, and historic urban charm.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983697408190b31817174ed4e77b completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:19 p.m.