Triple

T16907376
Position Surface form Disambiguated ID Type / Status
Subject Schlosspark Charlottenburg E424596 entity
Predicate hasAccessPoint P1985 FINISHED
Object Luisenplatz NE NERFINISHED

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: Luisenplatz | Statement: [Schlosspark Charlottenburg, hasAccessPoint, Luisenplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luisenplatz
Context triple: [Schlosspark Charlottenburg, hasAccessPoint, Luisenplatz]
  • A. Luisenplatz chosen
    Luisenplatz is the central square and main public plaza of Darmstadt, Germany, serving as a key hub for transportation, shopping, and civic life.
  • B. Ballhausplatz
    Ballhausplatz is a historic square in central Vienna that serves as the location of the Austrian Federal Chancellery and a key center of the country’s political administration.
  • C. Mehringplatz
    Mehringplatz is a historic circular square in Berlin’s Kreuzberg district, known for its postwar modernist housing complex and role as a major southern terminus of Friedrichstraße.
  • D. Marienplatz
    Marienplatz is the central square in Munich, Germany, renowned as the city's historic heart and a major hub for cultural events, tourism, and public life.
  • E. Schillerplatz
    Schillerplatz is a prominent public square in Stuttgart, Germany, known for its historic buildings and central role in the city’s cultural and civic life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca39f9b08190b15106c6caf895ec completed April 18, 2026, 6:15 p.m.
Created at: April 10, 2026, 5:30 a.m.