Triple

T7167024
Position Surface form Disambiguated ID Type / Status
Subject Zimmerstraße E167095 entity
Predicate crosses P416 FINISHED
Object Wilhelmstraße E41365 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: Wilhelmstraße | Statement: [Zimmerstraße, crosses, Wilhelmstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelmstraße
Context triple: [Zimmerstraße, crosses, Wilhelmstraße]
  • A. Wilhelmstraße boulevard
    Wilhelmstraße boulevard is a historic, villa-lined main street in the Baltic seaside resort of Sellin on Germany’s island of Rügen, known for its resort architecture and direct route to the famous Sellin Pier.
  • B. Friedrichstraße
    Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
  • C. Rothenburger Straße
    Rothenburger Straße is a public transit station on Nuremberg’s U3 underground line in Germany.
  • D. Charlottenstraße
    Charlottenstraße is a central street in Berlin’s historic Mitte district, running near landmarks such as Gendarmenmarkt and lined with shops, offices, and historic buildings.
  • E. Wilhelmstrasse, Berlin chosen
    Wilhelmstrasse, Berlin was a major government street in central Berlin that historically housed key Prussian, German, and later Nazi ministries and administrative offices.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85a07388190a07054ef12870fa1 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db01750c8190b8b147261be7d253 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:48 p.m.