Triple

T1135698
Position Surface form Disambiguated ID Type / Status
Subject Bonn E23133 entity
Predicate hasMuseum P105 FINISHED
Object Beethoven House museum E130676 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: Beethoven House museum | Statement: [Bonn, hasMuseum, Beethoven House museum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beethoven House museum
Context triple: [Bonn, hasMuseum, Beethoven House museum]
  • A. Beethoven House chosen
    Beethoven House is a museum in Bonn, Germany, dedicated to the life and works of composer Ludwig van Beethoven and located in his birthplace.
  • B. Beethoven Hall
    Beethoven Hall is a performance space within Moscow's historic Bolshoi Theatre complex, used for concerts and smaller-scale musical events.
  • C. Mozart’s Birthplace
    Mozart’s Birthplace is a historic house museum in Salzburg, Austria, dedicated to the life and works of composer Wolfgang Amadeus Mozart.
  • D. Haus der Geschichte
    Haus der Geschichte is a major German museum in Bonn dedicated to documenting the political and cultural history of Germany from 1945 to the present.
  • E. Valkhof Museum
    Valkhof Museum is an art and archaeology museum in Nijmegen, Netherlands, renowned for its collections of Roman antiquities and modern art.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc2300c481908c60fbb1188c37c5 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac667454848190acedaaa3ce7edb84 completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:44 p.m.