Triple

T5543421
Position Surface form Disambiguated ID Type / Status
Subject Unter den Linden E145347 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: [Unter den Linden, near, Museum Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museum Island
Context triple: [Unter den Linden, 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fc947bc81908d1f7b709392ec20 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02822fb80819087474c37d6dc4d2b completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.