Triple

T5368641
Position Surface form Disambiguated ID Type / Status
Subject Museum Island E108790 entity
Predicate hasGermanName P1435 FINISHED
Object Museumsinsel 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: Museumsinsel | Statement: [Museum Island, hasGermanName, Museumsinsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museumsinsel
Context triple: [Museum Island, hasGermanName, Museumsinsel]
  • A. Museum Island chosen
    Museum Island is a UNESCO World Heritage–listed complex of renowned museums on an island in central Berlin, Germany.
  • B. Tiergarten
    Tiergarten is a large central park in Berlin known for its expansive green spaces, monuments, and cultural landmarks.
  • C. Museumsinsel in Munich
    Museumsinsel in Munich is a river island in the Isar best known as the site of the Deutsches Museum, one of the world’s largest science and technology museums.
  • D. Brücke-Museum, Berlin
    Brücke-Museum, Berlin is a museum dedicated to the works of the German Expressionist group Die Brücke, showcasing paintings, prints, and sculptures by its key members.
  • E. Altes Museum, Berlin
    The Altes Museum in Berlin is a prominent 19th-century museum on Museum Island, renowned for its grand neoclassical design and collection of classical antiquities.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86856f688190a34ab93619bae134 completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf292c4d1c819088f7b977ac212688 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.