Triple

T23345285
Position Surface form Disambiguated ID Type / Status
Subject Paradeplatz tram stop E591839 entity
Predicate adjacentTo P224 FINISHED
Object Bahnhofstrasse 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: Bahnhofstrasse | Statement: [Paradeplatz tram stop, adjacentTo, Bahnhofstrasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahnhofstrasse
Context triple: [Paradeplatz tram stop, adjacentTo, Bahnhofstrasse]
  • A. Bahnhofstrasse chosen
    Bahnhofstrasse is Zürich’s famous luxury shopping street, known for its high-end boutiques, banks, and central location in the city.
  • B. Schaffhauserstrasse
    Schaffhauserstrasse is a major street in Zurich, Switzerland, that connects the city center with northern districts and serves as an important urban transport corridor.
  • C. Winterthurerstrasse
    Winterthurerstrasse is a major thoroughfare in Zurich, Switzerland, connecting the city center with its northern districts and the city of Winterthur.
  • D. Mühlenstrasse
    Mühlenstrasse is a street in Berlin, Germany, best known for running alongside the East Side Gallery, the longest remaining section of the Berlin Wall.
  • E. Schützenstrasse
    Schützenstrasse is a street in Berlin, Germany, known for its central urban location and characteristic city architecture.
  • 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.