Triple

T15726402
Position Surface form Disambiguated ID Type / Status
Subject Werderscher Markt E381228 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: [Werderscher Markt, near, Museum Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museum Island
Context triple: [Werderscher Markt, 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. Schlossinsel Köpenick
    Schlossinsel Köpenick is a historic island in Berlin’s Köpenick district, best known for its baroque Köpenick Palace and scenic location where the Dahme and Spree rivers meet.
  • C. 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.
  • D. Luisenpark
    Luisenpark is a large, historic urban park in Mannheim, Germany, known for its landscaped gardens, lakes, zoo areas, and recreational facilities.
  • E. Praterinsel
    Praterinsel is a small island in the Isar River in central Munich, known for its cultural events, historic buildings, and riverside recreation.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb357a88190a92641c8a8c20573 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f8b88081909855d3da0346fa25 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.