Triple

T15586563
Position Surface form Disambiguated ID Type / Status
Subject Friedensengel E374635 entity
Predicate locatedNear P294 FINISHED
Object Prinzregentenstrasse E890488 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: Prinzregentenstrasse | Statement: [Friedensengel, locatedNear, Prinzregentenstrasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prinzregentenstrasse
Context triple: [Friedensengel, locatedNear, Prinzregentenstrasse]
  • A. Prinzregentenstraße chosen
    Prinzregentenstraße is a major boulevard in Munich, Germany, known for its grand architecture, cultural institutions, and role as one of the city’s historic royal avenues.
  • B. Maximilianstraße
    Maximilianstraße is one of Munich’s most famous boulevards, known for its luxury boutiques, grand architecture, and cultural landmarks.
  • C. Kurfürstenstraße
    Kurfürstenstraße is a street located within Potsdam’s historic Dutch Quarter, an 18th-century neighborhood known for its distinctive red-brick Dutch-style architecture.
  • D. Luisenstraße
    Luisenstraße is a central street in Berlin, Germany, known for running through the government district near the Reichstag and major cultural and academic institutions.
  • E. 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.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4900408190aadb48b001db4169 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a008a1f8d648190b9c6280b875a17e4 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 4:11 a.m.