Triple

T686273
Position Surface form Disambiguated ID Type / Status
Subject Schöneberg E13289 entity
Predicate hasLandmark P105 FINISHED
Object Nollendorfplatz E85235 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: Nollendorfplatz | Statement: [Schöneberg, hasLandmark, Nollendorfplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nollendorfplatz
Context triple: [Schöneberg, hasLandmark, Nollendorfplatz]
  • A. Leopoldplatz
    Leopoldplatz is a major public square and important transport hub in Berlin’s Wedding district, served by multiple U-Bahn lines and numerous bus routes.
  • B. Nollendorfplatz area chosen
    The Nollendorfplatz area is a lively Berlin neighborhood known for its historic square, vibrant LGBTQ+ scene, and mix of nightlife, cafés, and cultural venues.
  • C. Viktoria-Luise-Platz
    Viktoria-Luise-Platz is a historic, park-like square and U-Bahn station area in Berlin known for its distinctive circular layout and surrounding early 20th-century architecture.
  • D. Potsdamer Platz
    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.
  • E. Kurt-Schumacher-Platz
    Kurt-Schumacher-Platz is an underground station on Berlin’s U-Bahn network serving the Reinickendorf district in the north of the city.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a093ac988190bb339616a3ed5adb completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d8f4a908190bc4cf5e1a6e46628 completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:36 p.m.