Triple

T5586337
Position Surface form Disambiguated ID Type / Status
Subject Bebelplatz E146765 entity
Predicate near P350 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: [Bebelplatz, near, Museum Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museum Island
Context triple: [Bebelplatz, near, 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. Praterinsel
    Praterinsel is a small island in the Isar River in central Munich, known for its cultural events, historic buildings, and riverside recreation.
  • D. 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.
  • E. Luiseninsel
    Luiseninsel is a small island and landscaped area within Berlin’s Großer Tiergarten park, known for its tranquil paths and natural scenery.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020871a3c8190991f291295cadfa5 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d8c6f8881909ac2018d11f5aef8 completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:38 p.m.