Triple

T21717049
Position Surface form Disambiguated ID Type / Status
Subject Bahnhofstrasse E536056 entity
Predicate hasSection P35 FINISHED
Object lower 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: lower Bahnhofstrasse | Statement: [Bahnhofstrasse, hasSection, lower Bahnhofstrasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: lower Bahnhofstrasse
Context triple: [Bahnhofstrasse, hasSection, lower 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. Guisanplatz
    Guisanplatz is a prominent public square in Bern, Switzerland, named in honor of General Henri Guisan and serving as an important transport and civic hub.
  • D. Niederdorfstrasse
    Niederdorfstrasse is a lively, historic pedestrian street in Zurich known for its medieval charm, shops, restaurants, and nightlife.
  • E. Winterthurerstrasse
    Winterthurerstrasse is a major thoroughfare in Zurich, Switzerland, connecting the city center with its northern districts and the city of Winterthur.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96babdc81908226ec043dbe7431 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.