Triple

T5655748
Position Surface form Disambiguated ID Type / Status
Subject Charlottenhof Palace E124613 entity
Predicate locatedNear P294 FINISHED
Object Potsdam city center E13693 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: Potsdam city center | Statement: [Charlottenhof Palace, locatedNear, Potsdam city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potsdam city center
Context triple: [Charlottenhof Palace, locatedNear, Potsdam city center]
  • A. Potsdam chosen
    Potsdam is a historic German city near Berlin, known for its palaces, parks, and role in major 20th-century diplomatic events.
  • B. Treptower Park, Berlin
    Treptower Park in Berlin is a large riverside public park best known for its monumental Soviet War Memorial commemorating Red Army soldiers who fell in World War II.
  • C. 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.
  • D. Spandau
    Spandau is a western borough of Berlin, Germany, known for its historic old town, fortress, and role as an important residential and industrial district.
  • E. Berlin Gesundbrunnen
    Berlin Gesundbrunnen is a major railway and transport hub in northern Berlin, serving regional, long-distance, and S-Bahn trains as well as local U-Bahn and bus connections.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022fb0b74819084782411bd172834 completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07db9fbec81908f3a87b5304f5ad8 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:42 p.m.