Triple

T4789452
Position Surface form Disambiguated ID Type / Status
Subject Lustgarten E106565 entity
Predicate category P87 FINISHED
Object Museum Island E108790 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: Museum Island | Statement: [Lustgarten, category, Museum Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museum Island
Context triple: [Lustgarten, category, Museum Island]
  • A. Museum Island chosen
    Museum Island is a UNESCO World Heritage–listed complex of renowned museums on an island in central Berlin, Germany.
  • B. Schloss Glienicke
    Schloss Glienicke is a 19th-century neoclassical palace and former royal residence on the banks of the River Havel in Berlin, recognized as part of the UNESCO World Heritage–listed Palaces and Parks of Potsdam and Berlin.
  • C. Humboldt Forum
    The Humboldt Forum is a major museum and cultural center in Berlin, housed in the reconstructed Berlin Palace and dedicated to art, culture, and science from around the world.
  • D. Luiseninsel
    Luiseninsel is a small island and landscaped area within Berlin’s Großer Tiergarten park, known for its tranquil paths and natural scenery.
  • E. Pfaueninsel
    Pfaueninsel is a small, historic island on the Havel River in Berlin, Germany, known for its romantic landscape park, palace, and free-roaming peacocks.
  • 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_69be5c9b1a348190809c1af686b7101a completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:22 p.m.