Triple

T14450100
Position Surface form Disambiguated ID Type / Status
Subject Schwartzkopffstraße, 10115 Berlin E358307 entity
Predicate near P350 FINISHED
Object Chausseestraße E327889 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: Chausseestraße | Statement: [Schwartzkopffstraße, 10115 Berlin, near, Chausseestraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chausseestraße
Context triple: [Schwartzkopffstraße, 10115 Berlin, near, Chausseestraße]
  • A. Chausseestraße chosen
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • B. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • C. 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.
  • D. Eichhornstraße
    Eichhornstraße is a street in central Berlin, Germany, located near Leipziger Platz in the city’s historic and commercial district.
  • E. Lothringerstraße
    Lothringerstraße is a central street in Vienna, Austria, located near major landmarks such as Karlsplatz and the Ringstrasse.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916139888190be219678e29a2a3a completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5c11708190a7fd4c0682b6ed81 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 1:19 a.m.