Triple

T4789368
Position Surface form Disambiguated ID Type / Status
Subject Tiergarten E106564 entity
Predicate locatedNear P294 FINISHED
Object Potsdamer Platz E31521 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: Potsdamer Platz | Statement: [Tiergarten, locatedNear, Potsdamer Platz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potsdamer Platz
Context triple: [Tiergarten, locatedNear, Potsdamer Platz]
  • A. Potsdamer Platz chosen
    Potsdamer Platz is a major public square and traffic intersection in central Berlin that became a symbol of the city's reunification and modern redevelopment after the Cold War.
  • B. Pariser Platz
    Pariser Platz is a prominent public square in central Berlin, Germany, known as the grand urban space directly in front of the Brandenburg Gate and a focal point of the city's historic and political life.
  • C. Leipziger Platz
    Leipziger Platz is a historic square in central Berlin, Germany, known for its reconstruction after German reunification and its proximity to Potsdamer Platz.
  • D. Königsplatz, Berlin
    Königsplatz, Berlin was a prominent square in central Berlin that historically served as a key military and governmental hub in the German capital.
  • E. Fehrbelliner Platz
    Fehrbelliner Platz is a Berlin U-Bahn station in the Wilmersdorf district that serves as a key transfer point between multiple subway lines.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65db847081908f5456724a2bdc65 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43e504488190b55cd745f82e9897 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.